Method and apparatus for adjusting image quality in liquid crystal display devices; liquid crystal display devices

Abstract

This application relates to the field of liquid crystal display technology, and discloses a method and apparatus for adjusting the image quality of a liquid crystal display device, as well as the liquid crystal display device itself. The method includes: performing content analysis on a video image to be displayed to obtain its content features; making a fusion decision based on the ambient light parameters and content features of the viewing environment of the liquid crystal display device to generate a multi-dimensional image quality adjustment parameter set; wherein the multi-dimensional image quality adjustment parameter set includes backlight control parameters for adjusting the backlight output of the liquid crystal display device, and image processing parameters for adjusting the display effect of the video image to be displayed; controlling the backlight module of the liquid crystal display device according to the backlight control parameters, and performing image processing on the video image to be displayed according to the image processing parameters; and synergistically applying the backlight output of the backlight module and the image-processed video image to be displayed to the display process of the liquid crystal display device. This improves the image quality adaptability under different viewing environments and different video content.

Description

Technical Field

[0001] This application relates to the field of liquid crystal display technology, such as a method and apparatus for adjusting image quality in a liquid crystal display device, and a liquid crystal display device. Background Technology

[0002] With the development of LCD technology, users' demands for TV picture quality are no longer limited to resolution, color gamut, or refresh rate alone, but rather they are paying more attention to the overall display effect under different viewing environments and video content. In actual use, the picture quality of LCD devices is easily affected by the combined effects of ambient light intensity, ambient light color temperature, and the characteristics of the video content. For example, in bright environments, screen reflections can easily lead to decreased contrast and unclear details in dark areas; in dim environments, excessively high backlight brightness can easily cause eye strain; at the same time, changes in ambient light color temperature can also cause a shift in the human eye's perception of white points and colors. Therefore, how to adaptively adjust picture quality parameters such as backlight, contrast, color, and sharpness according to the viewing environment and displayed content has become a crucial issue in optimizing the picture quality of LCD devices.

[0003] In related technologies, existing liquid crystal display (LCD) brightness control methods adjust the backlight brightness of the LCD device by acquiring ambient light brightness and image data to be displayed. For example, the initial backlight value of each backlight zone is determined based on the grayscale value of the image block corresponding to each backlight zone in the image to be displayed. Then, combined with the brightness distribution information of the zone image or ambient light brightness information, a backlight adjustment curve or brightness correction curve is determined. The backlight value of each backlight zone is then corrected according to this curve to obtain the target backlight value for each backlight zone. In this way, related technologies can adjust the backlight brightness to a certain extent according to changes in image content or ambient light, thereby improving the display effect of the LCD device.

[0004] In the process of implementing the embodiments of this disclosure, at least the following problems were found in the related art: The aforementioned technologies primarily focus on adjusting backlight brightness or local dimming, with relatively singular adjustment targets. They struggle to comprehensively consider the interrelationships between multiple factors, including ambient light intensity, ambient light color temperature, and the brightness distribution, motion, and detail complexity of the video content. Consequently, their ability to optimize image quality for LCD displays is limited.

[0005] It should be noted that the information disclosed in the background section above is only used to enhance the understanding of the background of this application, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0006] To provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. This summary is not intended as a general commentary, nor is it intended to identify key / important components or describe the scope of protection of these embodiments, but rather as a prelude to the detailed description that follows.

[0007] This disclosure provides a method and apparatus for adjusting the image quality of a liquid crystal display device, and a liquid crystal display device, to improve the degree of image quality optimization and adjustment of the liquid crystal display device.

[0008] In some embodiments, the image quality adjustment method for a liquid crystal display device includes: performing content analysis on a video image to be displayed on the liquid crystal display device to obtain content features of the video image to be displayed; making a fusion decision based on the ambient light parameters of the viewing environment of the liquid crystal display device and the content features to generate a multi-dimensional image quality adjustment parameter set; wherein the multi-dimensional image quality adjustment parameter set includes backlight control parameters for adjusting the backlight output of the liquid crystal display device and image processing parameters for adjusting the display effect of the video image to be displayed; controlling the backlight module of the liquid crystal display device according to the backlight control parameters, and performing image processing on the video image to be displayed according to the image processing parameters; and coordinating the backlight output of the backlight module and the image-processed video image to be displayed in the display process of the liquid crystal display device.

[0009] In some embodiments, the image quality adjustment device for a liquid crystal display device includes a processor and a memory storing program instructions, the processor being configured to execute the image quality adjustment method for a liquid crystal display device as described above when the program instructions are executed.

[0010] In some embodiments, the liquid crystal display device includes: a device body; and the image quality adjustment device for the liquid crystal display device described above is installed on the device body.

[0011] The image quality adjustment method and apparatus for liquid crystal display devices, and the liquid crystal display device provided in this disclosure can achieve the following technical effects: The image quality adjustment method for a liquid crystal display device provided in this disclosure obtains content features by performing content analysis on the video image to be displayed, and combines this with the ambient light parameters of the viewing environment of the liquid crystal display device to make a fusion decision, generating a multi-dimensional image quality adjustment parameter set including backlight control parameters and image processing parameters. This avoids the inaccurate adjustment problems caused by relying solely on ambient light or image content for single image quality adjustment in related technologies, enabling backlight output adjustment and image processing adjustment to be executed collaboratively based on the same fusion decision result, thereby improving the image quality adaptability of the liquid crystal display device under different viewing environments and different video content.

[0012] Furthermore, in this embodiment, the backlight module of the liquid crystal display device is controlled according to backlight control parameters, and the video image to be displayed is processed according to image processing parameters. This allows the backlight output of the backlight module and the processed video image to be displayed to work synergistically in the display process of the liquid crystal display device. Therefore, it can reduce the image quality imbalance caused by independently adjusting image quality parameters such as backlight brightness, contrast, color, and sharpness, improving image visibility, color consistency, and detail while enhancing user viewing comfort in complex ambient lighting and with various types of video content.

[0013] The above general description and the description below are exemplary and illustrative only and are not intended to limit this application. Attached Figure Description

[0014] One or more embodiments are illustrated by way of example with reference to the accompanying drawings. These illustrations and drawings do not constitute a limitation on the embodiments. Elements having the same reference numerals in the drawings are shown as similar elements. The drawings are not to be scaled. And wherein: Figure 1 This is a flowchart of a method for adjusting the image quality of a liquid crystal display device provided in an embodiment of this disclosure; Figure 2 This is a schematic diagram of the process of generating a multi-dimensional image quality adjustment parameter set provided in this embodiment of the disclosure; Figure 3A This is a schematic diagram illustrating the process of obtaining the partitioned backlight control parameters in an embodiment of this disclosure; Figure 3B This is a schematic diagram illustrating the variation of global backlight reference and maximum attenuation depth of local dimming with ambient light intensity, provided by an embodiment of this disclosure. Figure 4A This is a schematic diagram illustrating the process of obtaining color compensation parameters in an embodiment of this disclosure; Figure 4B This is a schematic diagram of the relationship between ambient light white point coordinates, preset target white point coordinates, and color compensation provided in an embodiment of this disclosure; Figure 5 This is a schematic diagram illustrating the process of obtaining the sharpness processing parameters in an embodiment of this disclosure; Figure 6 This is a schematic diagram illustrating the process by which the backlight output of the backlight module and the video image to be displayed after image processing work together on the display of the liquid crystal display device in an embodiment of this disclosure; Figure 7 This is a schematic diagram of an image quality adjustment device for a liquid crystal display device provided in an embodiment of this disclosure. Detailed Implementation

[0015] To provide a more detailed understanding of the features and technical content of the embodiments of this disclosure, the implementation of the embodiments of this disclosure will be described in detail below with reference to the accompanying drawings. The accompanying drawings are for illustrative purposes only and are not intended to limit the embodiments of this disclosure. In the following technical description, for ease of explanation, several details are used to provide a full understanding of the disclosed embodiments. However, one or more embodiments may still be implemented without these details. In other cases, well-known structures and devices may be simplified in their depiction to simplify the drawings.

[0016] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this disclosure described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion.

[0017] Unless otherwise stated, the term "multiple" means two or more.

[0018] In this embodiment of the disclosure, the character " / " indicates that the objects before and after it are in an "or" relationship. For example, A / B means: A or B.

[0019] The term "and / or" describes an association between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or A and B.

[0020] The term "correspondence" can refer to an association or binding relationship. The correspondence between A and B means that there is an association or binding relationship between A and B.

[0021] In the field of image quality adjustment technology for liquid crystal display devices, those skilled in the art typically tend to adjust individual image quality dimensions separately when dealing with image quality optimization issues. For example, in strong ambient light, backlight brightness is increased to improve image visibility; in scenes with many dark areas, local backlighting is used to reduce local backlighting to improve black levels; and when color shifts or insufficient image clarity occur, color temperature modes, gamma curves, edge enhancement, or noise reduction algorithms are used for processing. Those skilled in the art generally believe that as long as each image quality module is adaptively adjusted according to its own input parameters, the display effect of the liquid crystal display device can be improved to a certain extent.

[0022] However, the inventors discovered limitations in their research. The actual display effect of a liquid crystal display device is not determined independently by a single image quality parameter, but rather by a comprehensive perception resulting from the combined effects of the viewing environment, video content, backlight output, and image processing results. For example, in a bright environment, increasing only the overall backlight brightness can improve overall image visibility, but may lead to a decrease in black levels; if the local backlight is still attenuated according to the dark content, dark areas may appear grayish or lose detail due to ambient light reflection. Furthermore, in low-light environments, excessively high backlight brightness or excessive contrast enhancement can easily cause eye strain and fatigue; under different ambient light color temperatures, even if the video signal itself remains unchanged, the user's subjective perception of white point and color may shift. In addition, for moving images, if the local backlight changes rapidly with the image brightness, and the image processing parameters are not synchronized, flickering, halos, or sudden changes in dynamic image quality may occur. Therefore, backlight control, contrast adjustment, color compensation, and sharpness enhancement are not isolated processes, but rather coupled within the same display process.

[0023] Based on the above understanding, the inventors have broken through the technological inertia of existing technologies and proposed a dynamic image quality adjustment approach based on fusion decisions using ambient light parameters and video content characteristics. The inventors recognized that the optimal display effect of a liquid crystal display device under different viewing environments and video content should be determined simultaneously through a unified fusion decision mechanism that simultaneously determines backlight-side control parameters and image-side processing parameters, rather than each module adjusting independently based on local information. Specifically, the video image to be displayed can first undergo content analysis to obtain content characteristics such as brightness distribution, motion state, color distribution, and detail complexity. This is then combined with ambient light parameters such as ambient illuminance and ambient light color temperature of the viewing environment in which the liquid crystal display device is located to make fusion decisions, thereby generating a multi-dimensional image quality adjustment parameter set that includes backlight control parameters and image processing parameters. In this way, the backlight output of the backlight module and the image-processed video image to be displayed can work synergistically in the same display process, rather than changing separately and in isolation.

[0024] Based on the aforementioned technical concepts, this application constructs a multi-dimensional image quality collaborative adjustment mechanism for the display process of liquid crystal display devices. Specifically, it performs content analysis on the video image to be displayed on the liquid crystal display device to obtain the content characteristics of the video image; it then makes a fusion decision based on the ambient light parameters and content characteristics of the viewing environment in which the liquid crystal display device is located, generating a multi-dimensional image quality adjustment parameter set. This multi-dimensional image quality adjustment parameter set includes backlight control parameters for adjusting the backlight output of the liquid crystal display device, and image processing parameters for adjusting the display effect of the video image to be displayed. Subsequently, it controls the backlight module of the liquid crystal display device according to the backlight control parameters, and performs image processing on the video image to be displayed according to the image processing parameters, so that the backlight output of the backlight module and the image-processed video image to be displayed work synergistically to affect the display process of the liquid crystal display device. Through this approach, this application is no longer limited to adjusting backlight brightness alone or enhancing image signals alone, but rather starts from the overall correlation of the viewing environment, display content, and display execution process, and coordinates backlight and image processing in a unified manner, thereby improving the image quality stability, detail performance, and viewing comfort of the liquid crystal display device under complex ambient light and various types of video content.

[0025] It should be noted that in actual use scenarios of LCD devices, image quality perception is affected by a combination of factors, including changes in indoor illuminance, ambient light color temperature, screen reflection, the brightness distribution of video images, dynamic area changes, the richness of texture details, and user viewing comfort. Relying solely on a single ambient light parameter or a single image feature for image quality adjustment often fails to adapt to complex display scenarios. By making fusion decisions based on ambient light parameters and content characteristics, and by coordinating backlight control parameters and image processing parameters in the display process, the backlight output, contrast performance, color perception, and sharpness performance of LCD devices can be coordinated, thereby more realistically improving the overall image quality experience for users in actual viewing environments.

[0026] Figure 1 This is a flowchart illustrating a method for adjusting the image quality of a liquid crystal display device according to an embodiment of this disclosure. The liquid crystal display device can be an LCD TV, LCD monitor, automotive LCD screen, commercial display screen, or other liquid crystal display terminal with a backlight module. For ease of explanation, the following description primarily uses an LCD TV as an example, but this does not constitute a limitation on the type of liquid crystal display device.

[0027] In this embodiment, the liquid crystal display device includes a display panel, a backlight module, an image processing unit, an ambient light sensing unit, and a processor. The backlight module provides backlight to the display panel, the image processing unit performs image processing on the video image to be displayed, including gamma adjustment, contrast enhancement, color compensation, sharpness enhancement, and noise reduction, the ambient light sensing unit acquires the ambient light parameters of the viewing environment in which the liquid crystal display device is located, and the processor generates a multi-dimensional image quality adjustment parameter set based on the ambient light parameters and the content features of the video image to be displayed.

[0028] like Figure 1 As shown, the image quality adjustment method includes: Step S101: Perform content analysis on the video image to be displayed on the liquid crystal display device to obtain the content features of the video image to be displayed.

[0029] Here, the video image to be displayed can be a single frame of video image that the liquid crystal display device is currently outputting, or it can be the current frame of a series of consecutive video frames. After receiving the video signal, the liquid crystal display device can perform content analysis on the video image to be displayed to obtain content features that characterize the display properties of the video image.

[0030] The content features may include at least one of the following: brightness distribution features, motion features, color features, detail complexity features, and scene type.

[0031] For example, a liquid crystal display device can compare the video image to be displayed with adjacent video images, or call a motion estimation module to obtain motion vectors, thereby determining the motion amplitude of different image regions in the video image to be displayed, as motion features. These motion features can be used to determine whether there are areas of intense motion in the current frame, so that backlight changes in the moving areas can be suppressed or smoothed when generating backlight control parameters later.

[0032] In another example, the liquid crystal display device can analyze the color distribution, dominant hue, and color saturation of the video image to be displayed to obtain color features; it can also determine the detail complexity features of the image based on parameters such as brightness standard deviation, edge density, and high-frequency energy, so as to adaptively adjust the sharpness enhancement and noise reduction processing intensity in the future.

[0033] Step S102: Based on the ambient light parameters and content characteristics of the viewing environment of the liquid crystal display device, a fusion decision is made to generate a multi-dimensional image quality adjustment parameter set; wherein, the multi-dimensional image quality adjustment parameter set includes backlight control parameters for adjusting the backlight output of the liquid crystal display device, and image processing parameters for adjusting the display effect of the video image to be displayed.

[0034] In one implementation, fusion decisions can be made based on a preset multi-dimensional image quality strategy table. Specifically, using ambient light parameters and content features as input indices, the preset multi-dimensional image quality strategy table is queried to obtain a set of multi-dimensional image quality adjustment parameters. This table represents the backlight control parameters and image processing parameters corresponding to different combinations of ambient light parameters and content features. When the query result lies between adjacent entries, the image quality adjustment parameters corresponding to the adjacent entries are interpolated to obtain the set of multi-dimensional image quality adjustment parameters corresponding to the currently displayed video image.

[0035] In another implementation, fusion decisions can be made based on the display scene type. Specifically, the current display scene type is determined based on ambient light parameters and content characteristics; the corresponding image quality strategy template is invoked based on the current display scene type; and the parameters in the image quality strategy template are modified based on the ambient light parameters and content characteristics to obtain a multi-dimensional image quality adjustment parameter set. The current display scene type includes at least one of high-illuminance dark-field viewing scene, low-illuminance bright-field viewing scene, motion scene, and high-detail scene.

[0036] In another implementation, fusion decisions can be made based on a preset image quality decision model. Specifically, an image quality decision feature vector is constructed based on ambient light parameters and content features; this feature vector is then input into the preset image quality decision model to obtain a multi-dimensional image quality adjustment parameter set. The preset image quality decision model is used to output backlight control parameters and image processing parameters based on the image quality decision feature vector; after the preset image quality decision model outputs the multi-dimensional image quality adjustment parameter set, parameter boundary constraints and / or rate-of-change constraints are applied to the multi-dimensional image quality adjustment parameter set.

[0037] In any of the above methods, the ambient light parameters may include at least one of ambient illuminance, ambient color temperature, and light source direction. Ambient illuminance reflects the brightness of the viewing environment, ambient color temperature reflects the hue of the light source in the viewing environment, and light source direction reflects the incident direction of ambient light relative to the LCD screen.

[0038] Backlight control parameters can include global backlight control parameters and zone backlight control parameters. Global backlight control parameters can be used to control the overall backlight output of the backlight module, such as controlling the overall brightness of the backlight module, backlight current, or PWM duty cycle. Zone backlight control parameters can be used to control the luminous brightness of each backlight zone in the backlight module, such as controlling the drive current, drive duty cycle, or backlight drive coefficient of each backlight zone.

[0039] Image processing parameters may include at least one of the following: gamma adjustment parameters, contrast enhancement parameters, color compensation parameters, sharpness enhancement parameters, and noise reduction parameters. Specifically, gamma adjustment parameters and contrast enhancement parameters can be used to adjust the brightness and darkness levels of the image; color compensation parameters can be used to adjust the white point or color coordinates of the image; sharpness enhancement parameters can be used to adjust the edge enhancement intensity; and noise reduction parameters can be used to adjust the image noise reduction intensity.

[0040] Step S103: Control the backlight module of the liquid crystal display device according to the backlight control parameters, and perform image processing on the video image to be displayed according to the image processing parameters.

[0041] Here, the processor can generate a backlight drive control signal based on the backlight control parameters and send the backlight drive control signal to the backlight drive circuit or the zone backlight controller. The backlight drive circuit or the zone backlight controller controls the backlight output of the backlight module according to the backlight drive control signal.

[0042] For example, when the backlight module is a zoned backlight module, the backlight control parameters can include the target backlight drive coefficients corresponding to each backlight zone. The processor can combine the target backlight drive coefficients into a zoned backlight control parameter array according to the arrangement order of each backlight zone in the backlight module, and send this zoned backlight control parameter array to the zoned backlight controller. The zoned backlight controller controls the luminous brightness of each backlight zone according to the zoned backlight control parameter array.

[0043] Simultaneously, the processor can perform image processing on the video image to be displayed based on image processing parameters. For example, it can adjust the gamma curve of the video image to be displayed based on gamma adjustment parameters; perform global or local contrast enhancement on the video image to be displayed based on contrast enhancement parameters; perform color space conversion or white point compensation on the video image to be displayed based on color compensation parameters; enhance image edges based on sharpness enhancement parameters; and suppress image noise based on noise reduction parameters.

[0044] It should be noted that backlight control parameters and image processing parameters can be generated based on the same fusion decision. Therefore, there is a corresponding relationship between changes in backlight output and the processing results of the image signal. For example, when the backlight output is reduced to improve black levels, the pixel brightness or contrast of the corresponding area can be compensated through image processing parameters to avoid excessive loss of details in dark areas; when the backlight output is increased to adapt to high ambient light, contrast and color processing parameters can be used to maintain image gradation and color reproduction.

[0045] Step S104 is the process of combining the backlight output of the backlight module and the video image to be displayed after image processing in the display process of the liquid crystal display device.

[0046] In this embodiment, the processed video image to be displayed is output to the display panel of the liquid crystal display device, and the backlight module provides corresponding backlight output according to the backlight control parameters. The backlight output of the backlight module and the processed video image to be displayed work together to allow the user to see the display screen after coordinated adjustment. In some embodiments, in order to avoid brightness abrupt changes, color abrupt changes, or screen flicker caused by the asynchrony between the backlight output and the image processing result, the backlight control parameters can be sent to the backlight driving circuit or the partition backlight controller during the inter-frame blanking period corresponding to the video image to be displayed, and the image processing parameters can be sent to the corresponding image processing execution unit, so that the backlight control parameters and the image processing parameters take effect in the same target video frame.

[0047] Through the above methods, this embodiment can uniformly coordinate the backlight output and image processing of the liquid crystal display device according to changes in the viewing environment and displayed content. Compared with methods that adjust backlight brightness only based on ambient light or adjust local image quality parameters only based on image content, this embodiment can reduce the image quality imbalance caused by independent adjustment of image quality parameters such as backlight, contrast, color, and sharpness, and improve the display stability, detail performance, and viewing comfort of the liquid crystal display device under different ambient light conditions and different video content.

[0048] Furthermore, the content features include at least one of brightness distribution features, motion features, detail complexity features, and scene type; therefore, in step S101, content analysis is performed on the video image to be displayed on the liquid crystal display device to obtain the content features of the video image to be displayed, including at least one of the following: The luminance component of the video image to be displayed is extracted to obtain the luminance distribution characteristics of the video image to be displayed; Analyze the image changes between the video image to be displayed and adjacent video images to obtain the motion characteristics of the video image to be displayed; Perform detail complexity analysis on the video image to be displayed to obtain its detail complexity features.

[0049] In practical applications, liquid crystal display devices can selectively acquire one or more of the above-mentioned content features based on processing power, display mode, or current image quality adjustment requirements, and use the acquired content features for subsequent fusion decisions.

[0050] In some embodiments, extracting the luminance component of the video image to be displayed to obtain its luminance distribution characteristics includes: converting the video image to be displayed to a color space containing the luminance component, and statistically analyzing the luminance distribution information of the video image based on the luminance component. For example, if the video image to be displayed is an RGB format image, it can be converted to a YUV or YCbCr color space, and the Y component can be extracted as the luminance component. Subsequently, at least one of the following can be calculated based on the luminance component: average luminance, luminance histogram, highlight area proportion, shadow area proportion, and average luminance of each image partition, as luminance distribution characteristics. The average luminance characterizes the overall brightness of the video image to be displayed; the luminance histogram characterizes the distribution of pixels within different luminance ranges; the highlight area proportion and shadow area proportion can be determined based on the pixel proportion greater than a preset highlight threshold and the pixel proportion less than a preset shadow threshold, respectively; the average luminance of each image partition can be obtained by dividing the video image to be displayed into partitions based on the backlight partitioning of the liquid crystal display device.

[0051] In some embodiments, analyzing the image changes between the video image to be displayed and adjacent video images to obtain the motion characteristics of the video image to be displayed includes: acquiring image change information between the video image to be displayed and the previous and / or subsequent video images, and determining the motion characteristics of the video image to be displayed based on the image change information. The adjacent video images can be the previous frame, the next frame, or multiple frames that are temporally adjacent to the video image to be displayed.

[0052] The motion features obtained through the above method can be used for subsequent fusion decisions. For example, when the motion amplitude of a target image region is large, it indicates that there is significant motion change in that region. If the backlight output of the corresponding backlight region changes rapidly with the image brightness, it may cause flickering, halos, or sudden changes in dynamic brightness. Therefore, when generating backlight control parameters, the backlight driving coefficients of the corresponding backlight region can be time-smoothed based on the motion features.

[0053] In some embodiments, detail complexity analysis is performed on the video image to be displayed to obtain its detail complexity features. This includes determining the detail complexity features of the video image to be displayed based on at least one of the following: luminance standard deviation, edge density, high-frequency energy, or texture variation. Specifically, the luminance standard deviation can be calculated based on the luminance component of the video image to be displayed. A larger luminance standard deviation indicates more significant changes in brightness and dark areas, suggesting richer image details. Edge detection can also be performed on the video image to be displayed to obtain edge density by counting the number of edge pixels or edge intensity. Frequency domain transformation or high-pass filtering can also be performed on the video image to be displayed to obtain high-frequency energy by counting the high-frequency component energy. Furthermore, when the detail complexity features indicate rich detail in the video image to be displayed, the subsequent fusion decision can appropriately reduce the noise reduction intensity to avoid excessive removal of texture details; when the detail complexity features indicate less detail or significant noise in the video image to be displayed, the noise reduction intensity can be appropriately increased to improve image purity.

[0054] In some embodiments, the content features may further include a scene type. The scene type can be determined based on at least one of brightness distribution features, motion features, and detail complexity features. For example, if the average brightness of the video image to be displayed is lower than a preset brightness threshold and the shadow area accounts for a high proportion, the video image to be displayed can be determined to correspond to a dark scene; if the average brightness is higher than another preset brightness threshold and the highlight area accounts for a high proportion, the video image to be displayed can be determined to correspond to a bright scene; if the motion amplitude is greater than a preset motion threshold, the video image to be displayed can be determined to correspond to a motion scene; if the edge density or high-frequency energy is greater than a preset detail threshold, the video image to be displayed can be determined to correspond to a high-detail scene.

[0055] It should be noted that the aforementioned brightness distribution features, motion features, detail complexity features, and scene type can be used individually or in combination for subsequent fusion decisions. For example, backlight control parameters can be generated solely based on brightness distribution features and ambient light intensity; motion features can be further combined to smooth and correct the backlight control parameters; and detail complexity features can be combined to generate sharpness processing parameters, and the corresponding image quality strategy template can be selected based on the scene type. Thus, LCD display devices can form more accurate image quality adjustment criteria for different video content.

[0056] The generation of a multi-dimensional image quality adjustment parameter set will be explained below with reference to an example.

[0057] Figure 2 This is a schematic diagram of the multi-dimensional image quality adjustment parameter set generation process provided in this embodiment of the disclosure, to illustrate how the parameter set is generated through ambient light parameters and content features.

[0058] like Figure 2 As shown, a fusion decision is made based on the ambient light parameters and content characteristics of the viewing environment of the liquid crystal display device to generate a multi-dimensional image quality adjustment parameter set, including: Step S201: The core strategy engine performs a fusion decision on ambient light parameters and content features to generate a multi-dimensional image quality adjustment parameter set.

[0059] In one implementation, the core strategy engine can use ambient light parameters and content features as input indices to query a preset multi-dimensional image quality strategy table to obtain a set of multi-dimensional image quality adjustment parameters. The preset multi-dimensional image quality strategy table represents the backlight control parameters and image processing parameters corresponding to different combinations of ambient light parameters and content features. For example, the core strategy engine can determine the corresponding strategy table entry based on the illuminance range of the ambient light illuminance, the color temperature range of the ambient light color temperature, the brightness range of the average brightness of the video image to be displayed, and the motion range of the motion amplitude. It can then read at least one of the following from this strategy table entry: global backlight control parameters, zone backlight control parameters, gamma adjustment parameters, color compensation parameters, sharpness enhancement parameters, and noise reduction parameters. If the current ambient light parameters or content features are located between adjacent table entries, the core strategy engine can also perform interpolation processing on the image quality adjustment parameters corresponding to adjacent table entries to obtain the set of multi-dimensional image quality adjustment parameters corresponding to the current video image to be displayed.

[0060] In another implementation, the core strategy engine may include multiple strategy units, and each strategy unit generates candidate image quality adjustment parameters.

[0061] Step S2011: The brightness and contrast strategy unit generates global backlight control parameters and contrast adjustment parameters based on ambient light intensity and brightness distribution characteristics. By determining the global backlight control parameters and contrast adjustment parameters of the liquid crystal display device, it adapts to different ambient brightness and image brightness distribution.

[0062] Step S2012: The partitioned backlight strategy unit generates partitioned backlight control parameters based on ambient light intensity, brightness distribution characteristics, and motion characteristics. These parameters are then used to match the luminous intensity of each backlight partition with the current image content and viewing environment.

[0063] Step S2013 involves generating color compensation parameters based on the ambient light color temperature using the color management strategy unit. This reduces the impact of ambient light color temperature variations on the user's perceived white point and color reproduction.

[0064] Step S2014: The sharpness enhancement strategy unit generates sharpness processing parameters based on ambient light intensity and detail complexity characteristics. This allows for adjustment of edge enhancement and noise reduction processing intensity.

[0065] In this way, the core strategy engine does not adjust a single image quality parameter independently, but generates image quality adjustment parameters from multiple dimensions such as backlight, contrast, color and sharpness. This allows the backlight control parameters and image processing parameters to be coordinated in a unified manner based on ambient light parameters and content characteristics, thereby improving the display adaptability and image quality stability of LCD devices under different viewing environments and different video content.

[0066] In some embodiments, the core strategy engine can coordinate the parameters output by the brightness and contrast strategy unit, the local area backlight strategy unit, the color management strategy unit, and the sharpness enhancement strategy unit to obtain a multi-dimensional image quality adjustment parameter set. For example, when increasing the global backlight output, the core strategy engine can limit the intensity of local contrast enhancement to avoid overexposure in bright areas; when decreasing the local area backlight output, it can compensate for the gamma or contrast parameters of the corresponding image area to reduce the loss of details in dark areas; and when increasing the edge enhancement gain, it can combine noise reduction parameters to limit noise amplification. Thus, the core strategy engine can avoid parameter conflicts caused by independent adjustments by each image quality processing module, enabling backlight control parameters and image processing parameters to work synergistically in the display process of the liquid crystal display device based on the same fusion decision result.

[0067] Further, in step S2011, the brightness and contrast strategy unit is used to generate global backlight control parameters and contrast adjustment parameters based on ambient light intensity and brightness distribution characteristics. The brightness distribution characteristics may include the average brightness of the video image to be displayed. The average brightness can be obtained by statistically analyzing the brightness components of the video image to be displayed, for example, it may be the frame-average pixel brightness value of the video image to be displayed.

[0068] Then, global backlight control parameters and contrast adjustment parameters are generated based on the ambient illuminance and brightness distribution characteristics, including: determining the global backlight reference and contrast adjustment parameters based on the average brightness in the ambient illuminance and brightness distribution characteristics; when the ambient illuminance is greater than a first illuminance threshold and the average brightness is less than a first brightness threshold, the global backlight reference adopts a first backlight value, and the contrast adjustment parameters indicate the adoption of a first contrast enhancement intensity; when the ambient illuminance is less than a second illuminance threshold and the average brightness is greater than a second brightness threshold, the global backlight reference adopts a second backlight value, and the contrast adjustment parameters indicate the adoption of a second contrast enhancement intensity. Among them, the first illuminance threshold is greater than the second illuminance threshold, the first brightness threshold is less than the second brightness threshold, and the first backlight value is greater than the second backlight value, and the first contrast enhancement intensity is greater than the second contrast enhancement intensity.

[0069] Here, the liquid crystal display device acquires the ambient illuminance E of the current viewing environment and determines the average brightness APL of the video image to be displayed based on the brightness distribution characteristics of the video image to be displayed. The brightness and contrast strategy unit compares the ambient illuminance E with a preset illuminance threshold and compares the average brightness APL with a preset brightness threshold to determine the brightness-contrast adjustment scene of the current video image to be displayed.

[0070] In some embodiments, the brightness and contrast strategy unit includes a preset two-dimensional brightness-contrast lookup table. The two-dimensional brightness-contrast lookup table takes ambient illuminance and the average brightness of the video image to be displayed as two-dimensional inputs, and global backlight reference and contrast enhancement intensity as output entries. That is, each entry in the two-dimensional brightness-contrast lookup table corresponds to a set of ambient illuminance ranges and average brightness ranges, and records the backlight value and contrast enhancement intensity to be used under this combination of conditions.

[0071] Specifically, the brightness and contrast strategy unit can determine a first index based on the ambient light level and a second index based on the average brightness of the video image to be displayed. Based on the first and second indices, a two-dimensional brightness-contrast lookup table is queried to obtain the corresponding global backlight reference and contrast enhancement intensity. The contrast adjustment parameters can be used to indicate the contrast enhancement intensity, or they can be used to indicate the gamma adjustment parameters, local contrast enhancement coefficients, or histogram enhancement parameters corresponding to the contrast enhancement intensity.

[0072] When the ambient illuminance is greater than a first illuminance threshold and the average brightness is less than a first brightness threshold, the brightness and contrast strategy unit queries the table corresponding to high ambient illuminance and low average brightness, determines the global backlight reference as the first backlight value, and determines the contrast adjustment parameter as the parameter used to indicate the intensity of the first contrast enhancement. This table entry is applicable to high-illuminance dark scenes and can improve the visibility of dark areas in bright environments.

[0073] When the ambient illuminance is less than the second illuminance threshold and the average brightness is greater than the second brightness threshold, the brightness and contrast strategy unit queries the table corresponding to low ambient illuminance and high average brightness, determines the global backlight reference as the second backlight value, and determines the contrast adjustment parameter as the parameter used to indicate the intensity of the second contrast enhancement. This table entry is suitable for low-illuminance bright-field scenes and can reduce the glare of bright images in dark environments.

[0074] Specifically, the first backlight value is greater than the second backlight value, and the first contrast enhancement intensity is greater than the second contrast enhancement intensity. In other words, in high-illuminance dark scenes, the two-dimensional brightness-contrast lookup table outputs a higher global backlight reference and a stronger contrast enhancement intensity; in low-illuminance bright scenes, the two-dimensional brightness-contrast lookup table outputs a lower global backlight reference and a weaker contrast enhancement intensity.

[0075] Specifically, the first illuminance threshold is greater than the second illuminance threshold, and the first luminance threshold is less than the second luminance threshold. The first backlight value is greater than the second backlight value, and the first contrast enhancement intensity is greater than the second contrast enhancement intensity. In other words, in scenarios with high illuminance and low average brightness, the LCD display device uses a higher global backlight reference and a stronger contrast enhancement intensity; in scenarios with low illuminance and high average brightness, the LCD display device uses a lower global backlight reference and a weaker contrast enhancement intensity.

[0076] For example, the first illuminance threshold can be 500 Lux, and the second illuminance threshold can be 100 Lux; the first brightness threshold can be normalized to 0.35, and the second brightness threshold can be normalized to 0.65. The first backlight value can correspond to a higher backlight PWM duty cycle or a higher backlight current, and the second backlight value can correspond to a lower backlight PWM duty cycle or a lower backlight current. The first contrast enhancement intensity can correspond to a larger local contrast enhancement coefficient or a stronger gamma curve adjustment range, and the second contrast enhancement intensity can correspond to a smaller local contrast enhancement coefficient or a weaker gamma curve adjustment range. The above values ​​are only examples and can be set according to the peak brightness of the LCD display device, the backlight module capability, the usage scenario, or the user's image quality mode.

[0077] When the ambient light intensity and average brightness do not meet the requirements of the above-mentioned high-intensity dark scene or low-intensity bright scene, the brightness and contrast strategy unit can determine that the current scene is a normal image quality adjustment scene.

[0078] In normal image quality adjustment scenarios, the third backlight value and the third contrast enhancement intensity can be obtained by querying the preset two-dimensional brightness-contrast lookup table based on the ambient light level and average brightness; alternatively, the third backlight value and the third contrast enhancement intensity can be calculated based on a preset function model. The third backlight value can be located between the first backlight value and the second backlight value, and the third contrast enhancement intensity can be located between the first contrast enhancement intensity and the second contrast enhancement intensity.

[0079] Furthermore, to avoid abrupt changes in backlight output or contrast enhancement intensity between adjacent video frames, the brightness and contrast strategy unit can perform amplitude limiting or time smoothing on the currently determined global backlight reference and contrast adjustment parameters.

[0080] For example, the final global backlight reference for the current video frame can be determined based on the global backlight reference corresponding to the previous video frame and the global backlight reference corresponding to the current video frame. Contrast enhancement intensity can also be smoothed in a similar way. This avoids frequent jumps in screen brightness or contrast when the average brightness of the viewing environment or image fluctuates around a threshold.

[0081] The brightness and contrast strategy unit outputs the determined global backlight baseline as the global backlight control parameter and the parameter indicating the corresponding contrast enhancement intensity as the contrast adjustment parameter. The core strategy engine can combine this global backlight control parameter and contrast adjustment parameter with the local backlight control parameter, color compensation parameter, and sharpness processing parameter to form a multi-dimensional image quality adjustment parameter set.

[0082] Through the above process, the liquid crystal display device can distinguish between high-illuminance dark scenes and low-illuminance bright scenes based on the ambient light level and the average brightness of the video image to be displayed, and adopt different global backlight references and contrast enhancement intensities for each. This improves the visibility of dark scenes in bright environments and reduces the jarring effect of bright scenes in dim environments, enabling global backlight control and contrast adjustment to work synergistically.

[0083] The following examples illustrate how to obtain the zone backlight control parameters.

[0084] Figure 3A This is a schematic diagram illustrating the process of acquiring partitioned backlight control parameters in an embodiment of this disclosure. The partitioned backlight strategy unit can generate partitioned backlight control parameters based on ambient illuminance, brightness distribution characteristics, and motion characteristics. The partitioned backlight control parameters may include the target backlight driving coefficient corresponding to each backlight partition. The liquid crystal display device can control the luminous brightness of each backlight partition according to the target backlight driving coefficient, so that the backlight output of different backlight partitions matches the local brightness of the video image to be displayed, the viewing environment, and the motion state of the image.

[0085] like Figure 3A As shown, zoned backlight control parameters are generated based on ambient illuminance, brightness distribution characteristics, and motion characteristics, including: Step S301: Determine the global backlight reference and the maximum attenuation depth of the local dimming based on the ambient light intensity; wherein, the global backlight reference is positively correlated with the ambient light intensity, and the maximum attenuation depth of the local dimming is negatively correlated with the ambient light intensity.

[0086] Here, the global backlight reference is used to characterize the baseline level of the overall backlight output of the backlight module; the maximum attenuation depth of local dimming is used to characterize the maximum allowable reduction of each backlight zone relative to the global backlight reference. The global backlight reference is positively correlated with ambient light intensity, while the maximum attenuation depth of local dimming is negatively correlated with ambient light intensity. That is, the higher the ambient light intensity, the higher the global backlight reference, and the smaller the maximum allowable reduction of local backlight intensity; the lower the ambient light intensity, the lower the global backlight reference, and the larger the maximum allowable reduction of local backlight intensity.

[0087] For example, in high-illuminance environments, LCD displays use a higher global backlight reference to improve overall image visibility, while employing a smaller local dimming maximum attenuation depth to prevent excessive suppression of backlight in dark areas, which could cause shadow details to be obscured by ambient light reflection. In low-illuminance environments, LCD displays use a lower global backlight reference and allow for a larger local dimming maximum attenuation depth to improve black levels and local contrast.

[0088] In another example, the local dimming backlight strategy unit obtains the current ambient light intensity, denoted as E, and determines the global backlight baseline Bbase and the maximum attenuation depth Dmax of the local dimming based on the preset ambient light-backlight strategy table. For example, the preset ambient light-backlight strategy table with the following settings is obtained: Table 1 Preset Ambient Light-Backlight Strategy Table

[0089] Here, Bbase is used to characterize the baseline level of the overall backlight output of the backlight module, and Dmax is used to characterize the maximum allowable reduction of the backlight zone dimming relative to Bbase. Therefore, the higher the ambient light illuminance, the higher the global backlight baseline, and the smaller the maximum attenuation depth of the local dimming.

[0090] In other implementations, Bbase and Dmax can also be determined by a function model, for example, by making Bbase monotonically increase with ambient illuminance and Dmax monotonically decrease with ambient illuminance.

[0091] Figure 3B This is a schematic diagram illustrating the variation of global backlight reference and maximum attenuation depth of local dimming with ambient light intensity, provided in an embodiment of this disclosure. Figure 3B As shown, curve A represents the adjustment trend of the global backlight reference as ambient light intensity changes, and curve B represents the adjustment trend of the maximum attenuation depth of local dimming as ambient light intensity changes. As ambient light intensity increases, the global backlight reference gradually increases to improve overall image visibility under strong ambient light; simultaneously, the maximum attenuation depth of local dimming gradually decreases to limit the reduction in brightness of dark areas relative to the global backlight reference, preventing dark areas from being overwhelmed by ambient reflected light due to excessive backlight reduction in high-illuminance environments. Conversely, when ambient light intensity is low, the global backlight reference can be reduced, while the maximum attenuation depth of local dimming can be increased, thereby reducing overall backlight glare while improving black levels and local contrast in dark scenes.

[0092] Step S302: According to the backlight partition arrangement of the liquid crystal display device, the video image to be displayed is divided into multiple image partitions corresponding to each backlight partition.

[0093] The backlight module of a liquid crystal display device may include multiple backlight zones. The partitioned backlight strategy unit can divide the video image to be displayed into multiple image zones according to the row and column arrangement of the backlight zones in the backlight module, so that each image zone corresponds to one backlight zone.

[0094] For example, when the backlight module includes M×N backlight zones, the video image to be displayed can be divided into M×N image zones, with the i-th image zone corresponding to the i-th backlight zone. The brightness distribution characteristics of each image zone are used to characterize the local backlight output level required for the corresponding backlight zone.

[0095] Step S303: Determine the brightness dimming coefficient corresponding to each backlight zone based on the brightness distribution characteristics of each image zone.

[0096] For any image partition, the partition backlight strategy unit can determine the brightness dimming coefficient of the backlight partition corresponding to that image partition based on the average brightness of the pixels in that image partition, the proportion of the highlight area, the proportion of the shadow area, and / or the brightness histogram.

[0097] In some examples, the higher the average brightness of an image zone, the larger the brightness dimming coefficient of the corresponding backlight zone; conversely, the lower the average brightness of an image zone, the smaller the brightness dimming coefficient of the corresponding backlight zone. The brightness dimming coefficient is used to characterize the local adjustment requirements of the corresponding backlight zone relative to the global backlight reference.

[0098] For example, for the i-th image partition, the luminance components of each pixel within the partition are extracted, and the partition average luminance Li is calculated. The partition average luminance Li can be a normalized luminance value, ranging from, for example, 0 to 1. In some examples, Li can be determined as follows: Li = Avg(Yi); where Yi represents the luminance component of the pixel within the i-th image partition, and Avg(Yi) represents the average of the luminance values ​​of each pixel within the image partition.

[0099] In other implementations, Li can also be corrected by combining the proportion of highlight areas, the proportion of shadow areas, or the brightness histogram to avoid the problem that the average brightness alone cannot reflect the local brightness distribution.

[0100] Furthermore, the partitioned backlight strategy unit determines the brightness dimming coefficient Ki of the corresponding backlight partition based on the average brightness Li of each image partition. The setting is: Ki = Kmin + Li × (Kmax - Kmin); where Kmin is the minimum brightness dimming coefficient and Kmax is the maximum brightness dimming coefficient. For example, Kmin can be 0.4 and Kmax can be 1.2.

[0101] Therefore, the brighter the image zone, the larger the brightness dimming coefficient of the corresponding backlight zone; the darker the image zone, the smaller the brightness dimming coefficient of the corresponding backlight zone.

[0102] Step S304: Correct the global backlight reference based on the brightness dimming coefficient to obtain the candidate backlight driving coefficients corresponding to each backlight zone.

[0103] For the i-th backlight zone, the zone backlight strategy unit corrects the global backlight baseline Bbase based on the brightness dimming coefficient Ki to obtain the candidate backlight driving coefficient Bcand_i. For example, it can be set as: Bcand_i = Bbase × Ki; where Bcand_i represents the backlight driving coefficient initially determined for the i-th backlight zone based on the local image brightness without considering the maximum attenuation depth constraint of zone dimming.

[0104] In some embodiments, Bcand_i can also be range-trimmed so that it is not lower than a preset minimum driving value and not higher than a preset maximum driving value.

[0105] The candidate backlight drive coefficient is used to characterize the backlight drive level initially determined based on the brightness requirements of image zones without considering the maximum attenuation depth constraint of zone dimming.

[0106] Step S305: Determine the lower limit of backlight drive for each backlight zone based on the global backlight reference and the maximum attenuation depth of the zone dimming.

[0107] Based on the global backlight reference and the maximum attenuation depth of the local dimming, the maximum allowable reduction of the backlight zone relative to the global backlight reference can be determined, and the global backlight reference after the maximum reduction value can be used as the lower limit of the backlight drive for the corresponding backlight zone.

[0108] For example, when the global backlight reference is Bbase and the maximum attenuation depth of local dimming is Dmax, the lower limit of backlight drive Bmin can be expressed as: Bmin = Bbase × (1 - Dmax). Here, Bmin represents the lowest backlight drive level allowed for each backlight zone relative to the global backlight reference. For instance, when Bbase = 85% and Dmax = 30%, Bmin = 59.5%. That is, under high ambient light, even if a certain image zone is dark, the backlight drive coefficient of its corresponding backlight zone will not be lower than 59.5%, thus preventing dark areas from being excessively darkened under strong ambient light.

[0109] The above expression is only an example. In practical applications, the lower limit of backlight driving can also be determined by looking up a table or function model.

[0110] Step S306: If the candidate backlight driving coefficient corresponding to the target backlight partition is lower than the lower limit of the backlight driving coefficient corresponding to the target backlight partition, the lower limit of the backlight driving coefficient corresponding to the target backlight partition is determined as the initial backlight driving coefficient corresponding to the target backlight partition.

[0111] Step S307: If the candidate backlight driving coefficient corresponding to the target backlight partition is not lower than the lower limit of the backlight driving coefficient corresponding to the target backlight partition, the candidate backlight driving coefficient corresponding to the target backlight partition is determined as the initial backlight driving coefficient corresponding to the target backlight partition.

[0112] For the target backlight zone, the zone backlight strategy unit compares the candidate backlight drive coefficients corresponding to the target backlight zone with the lower limit of the backlight drive corresponding to the target backlight zone. Thus, while performing zone dimming based on image brightness, the lower limit of the backlight drive constrains the minimum output of the backlight in dark areas, preventing excessive darkening of dark areas under high ambient light.

[0113] For the i-th backlight zone, if the candidate backlight driving coefficient Bcand_i is lower than the backlight driving lower limit Bmin, then Bmin is determined as the initial backlight driving coefficient Binit_i of the i-th backlight zone; if Bcand_i is not lower than Bmin, then Bcand_i is determined as the initial backlight driving coefficient Binit_i of the i-th backlight zone. That is: Binit_i = max(Bcand_i, Bmin).

[0114] In this way, the partitioned backlight strategy unit can both adjust the local backlight according to the brightness of the image partitions and limit the excessive reduction of backlight in dark areas by using the backlight drive lower limit.

[0115] Step S308: Based on the motion characteristics, perform time smoothing on the initial backlight driving coefficients corresponding to at least some backlight zones to obtain the target backlight driving coefficients corresponding to each backlight zone, which are used as zone backlight control parameters.

[0116] After obtaining the initial backlight driving coefficients corresponding to each backlight zone, the zone backlight strategy unit can also perform time smoothing processing on the initial backlight driving coefficients corresponding to at least some backlight zones according to motion characteristics to obtain the target backlight driving coefficients corresponding to each backlight zone.

[0117] Further, in step S308, based on motion characteristics, the initial backlight driving coefficients corresponding to at least a portion of the backlight zones are subjected to time smoothing processing to obtain the target backlight driving coefficients corresponding to each backlight zone, including: When the motion amplitude of the image region corresponding to the target backlight partition is greater than the preset motion threshold, the time smoothing coefficient is determined based on the motion amplitude. The target backlight driving coefficient of the target backlight partition in the current video frame is determined based on the time smoothing coefficient, the historical target backlight driving coefficient of the target backlight partition in the previous video frame, and the initial backlight driving coefficient of the target backlight partition in the current video frame. Among them, the greater the amplitude of motion, the greater the weight of the historical target backlight driving coefficient in determining the target backlight driving coefficient corresponding to the current video frame.

[0118] For a target backlight zone, if the motion amplitude of the corresponding image area is greater than a preset motion threshold, it indicates that there is significant motion change in that image area. In this case, directly controlling the backlight zone's brightness according to the initial backlight drive coefficient of the current frame could cause rapid changes in backlight brightness between adjacent frames, resulting in flickering, halos, or sudden brightness changes in moving images. Therefore, the zoned backlight strategy unit can determine the time smoothing coefficient based on the motion amplitude, and then determine the target backlight drive coefficient for the target backlight zone in the current video frame based on the time smoothing coefficient, the historical target backlight drive coefficient of the target backlight zone in the previous video frame, and the initial backlight drive coefficient of the target backlight zone in the current video frame.

[0119] In one example, the target backlight drive coefficient can be determined as follows: The historical target backlight drive coefficient and the initial backlight drive coefficient corresponding to the current video frame are weighted to obtain the target backlight drive coefficient for the current video frame. Specifically, the larger the temporal smoothing coefficient, the greater the weight of the historical target backlight drive coefficient in determining the target backlight drive coefficient for the current video frame; the greater the motion amplitude, the larger the temporal smoothing coefficient. Therefore, the more turbulent the image region, the smoother the backlight change of its corresponding backlight zone, thereby reducing flicker or halos in dynamic scenes.

[0120] In some examples, the target backlight drive coefficient can be determined according to the following formula: Btarget_i(t)=α_i×Btarget_i(t-1)+(1-α_i)×Binit_i(t) Where Btarget_i(t) represents the target backlight driving coefficient of the i-th backlight partition in the current video frame, Btarget_i(t-1) represents the historical target backlight driving coefficient of the i-th backlight partition in the previous video frame, Binit_i(t) represents the initial backlight driving coefficient of the i-th backlight partition in the current video frame, and α_i represents the temporal smoothing coefficient of the i-th backlight partition. α_i can be determined based on the motion amplitude of the image region corresponding to the backlight partition, and the larger the motion amplitude, the larger α_i.

[0121] In some embodiments, for backlight zones whose motion amplitude is no greater than a preset motion threshold, time smoothing can be omitted, and the initial backlight drive coefficient corresponding to that backlight zone can be directly determined as the target backlight drive coefficient; alternatively, a small time smoothing coefficient can be used for mild smoothing. This allows for the preservation of strong local contrast response in static areas while suppressing rapid changes in backlight in moving areas.

[0122] Through the above methods, this embodiment enables zone backlight control to be simultaneously influenced by ambient illuminance, image brightness distribution, and motion characteristics. On one hand, by making the global backlight baseline positively correlated with ambient illuminance and the maximum attenuation depth of zone dimming negatively correlated with ambient illuminance, overall visibility can be improved and excessive attenuation in dark areas can be limited under high illumination, while black level performance can be enhanced under low illumination. On the other hand, by performing temporal smoothing on the initial backlight drive coefficient based on motion characteristics, backlight flicker and brightness abrupt changes in moving images can be reduced. Therefore, the zone backlight control parameters can better adapt to changes in the actual viewing environment and video content.

[0123] The following examples illustrate how to generate color compensation parameters.

[0124] Figure 4A This is a schematic diagram illustrating the process of obtaining color compensation parameters in an embodiment of this disclosure. The color management strategy unit can generate color compensation parameters based on the ambient light color temperature, thereby reducing the impact of different ambient light color temperatures on the user's perceived white point and screen colors, and improving the color consistency of the liquid crystal display device under different viewing environments.

[0125] like Figure 4A As shown, color compensation parameters are generated based on the ambient light color temperature, including: Step S401: Determine the coordinates of the ambient light white point based on the ambient light color temperature.

[0126] The LCD display device obtains the ambient light color temperature of the current viewing environment through an ambient light sensor. The color management strategy unit determines the ambient light white point coordinates based on the ambient light color temperature. In some examples, the ambient light white point coordinates can be coordinate values ​​in the CIE 1931 chromaticity coordinate system, denoted as (xamb, yamb). The color management strategy unit can convert the ambient light color temperature into the corresponding ambient light white point coordinates according to a preset color temperature-chromaticity coordinate mapping relationship; it can also directly receive the ambient light white point coordinates output by the ambient light sensor. For example, when the ambient light color temperature is low, the ambient light white point coordinates can correspond to a warmer color direction; when the ambient light color temperature is high, the ambient light white point coordinates can correspond to a cooler color direction.

[0127] Step S402: Calculate the chromaticity deviation between the ambient light white point coordinates and the preset target white point coordinates.

[0128] The color management strategy unit obtains the preset target white point coordinates. The preset target white point coordinates can be the standard display white point coordinates of the LCD device, such as the D65 white point coordinates (0.3127, 0.3290).

[0129] The color management strategy unit calculates the chromaticity deviation between the coordinates of the ambient light white point and the coordinates of the preset target white point. The chromaticity deviation can include deviations in the x and y directions. For example, it can be calculated as follows: Δx = xamb - xtar; Δy = yamb - ytar; Where (xamb, yamb) represent the coordinates of the ambient light white point, (xtar, ytar) represent the coordinates of the preset target white point, and Δx and Δy represent the chromaticity deviation.

[0130] Step S403: Generate a color compensation matrix based on the chromaticity deviation, which serves as the color compensation parameter.

[0131] The color management strategy unit determines the white point compensation direction and intensity based on the chromaticity deviation, and generates a color compensation matrix based on the white point compensation direction and intensity. The color compensation matrix can be a 3×3 matrix, used to correct the color of the RGB components or other color space components of the video image to be displayed.

[0132] In some examples, the color management strategy unit can generate a color compensation matrix based on a color adaptation transformation model. For instance, the Bradford transform model, the CAT02 transform model, or other color adaptation transformation models can be used to generate an inverse compensation matrix based on the chromaticity deviation between the ambient light white point coordinates and the preset target white point coordinates.

[0133] For example, when the ambient light color temperature is lower than the target color temperature and the ambient light is warm-toned, the white point on the screen may appear yellowish to the user. In this case, the color management strategy unit generates a color compensation matrix that compensates for the white point towards a cooler color. When the ambient light color temperature is higher than the target color temperature and the ambient light is cool-toned, the white point on the screen may appear bluish to the user. In this case, the color management strategy unit generates a color compensation matrix that compensates for the white point towards a warmer color.

[0134] Figure 4B This is a schematic diagram illustrating the relationship between ambient light white point coordinates, preset target white point coordinates, and color compensation, provided in an embodiment of this disclosure. Figure 4B As shown, in the CIE 1931 chromaticity coordinate system, different ambient light color temperatures correspond to different ambient light white point coordinates. When the D65 white point is used as the preset target white point, changes in the ambient light color temperature will cause the screen white point perceived by the user to shift relative to the D65 target white point. Figure 4BThe offset path in the diagram illustrates the impact of ambient light color temperature on the perceived white point, while the compensation path illustrates how, after inversely correcting the displayed color using a color compensation matrix, the compensated perceived white point reverts to or approaches the D65 target white point. Based on Figure 4B As shown in the chromaticity offset relationship, the color management strategy unit can determine the ambient light white point coordinates based on the ambient light color temperature and calculate the chromaticity deviation between these coordinates and the D65 target white point coordinates. Subsequently, the color management strategy unit generates a color compensation matrix based on the chromaticity deviation and loads the color compensation matrix into the display color management link of the liquid crystal display device when performing image processing on the video image to be displayed according to the image processing parameters, in order to reduce the impact of ambient light color temperature changes on screen white point perception and color reproduction.

[0135] Step S404: When performing image processing on the video image to be displayed according to the image processing parameters, the color compensation matrix is ​​loaded into the display color management link of the liquid crystal display device.

[0136] When a liquid crystal display device performs image processing on a video image to be displayed according to image processing parameters, it loads a color compensation matrix into the display color management link. The display color management link may include at least one of a color space conversion unit, a white balance processing unit, a color lookup table loading unit, or a display controller.

[0137] After the color compensation matrix is ​​loaded, the LCD display device can perform color correction on the video image to be displayed based on the color compensation matrix, so that the video image to be displayed after image processing has a more stable perceived white point and color reproduction effect under the current ambient light color temperature.

[0138] Furthermore, prior to step S404, the method includes: stabilizing the color compensation matrix. To avoid frequent color changes in the image due to short-term fluctuations in ambient light color temperature, the color management strategy unit can filter the ambient light color temperature, ambient light white point coordinates, or chromaticity deviation collected multiple times consecutively, and generate a color compensation matrix based on the filtered data.

[0139] In some embodiments, the color management strategy unit can also set an upper limit on the compensation intensity corresponding to the color compensation matrix. For example, if the chromaticity deviation exceeds a preset deviation threshold, the compensation intensity can be limited to a preset compensation range to avoid over-compensation leading to color distortion in the image.

[0140] Thus, through steps S401 to S404 above, this embodiment can determine the ambient light white point coordinates based on the ambient light color temperature, and generate a color compensation matrix based on the chromaticity deviation between the ambient light white point coordinates and the preset target white point coordinates. Therefore, under different ambient light color temperatures, the liquid crystal display device can perform dynamic white point compensation and color correction on the video image to be displayed, reducing the impact of ambient light color temperature changes on the user's perceived white point and screen color, and improving the consistency of displayed colors.

[0141] The following examples illustrate how to generate sharpness processing parameters.

[0142] Figure 5 This is a schematic diagram illustrating the process of acquiring sharpness processing parameters in an embodiment of this disclosure. The sharpness enhancement strategy unit generates sharpness processing parameters based on ambient light intensity and detail complexity characteristics, enabling sharpness enhancement and noise reduction processing to work together to improve image sharpness and viewing comfort under different viewing environments. Here, the liquid crystal display device acquires the ambient light intensity of the current viewing environment through an ambient light sensor. Simultaneously, the content analysis module performs detail complexity analysis on the video image to be displayed to obtain the detail complexity characteristics of the video image to be displayed. These detail complexity characteristics may include at least one of edge density, high-frequency energy, texture variation degree, brightness gradient magnitude, and noise estimation value. For example, edge density can be obtained by counting the number of edge pixels within a unit image area using an edge detection operator; or high-frequency energy in the video image to be displayed can be determined by high-pass filtering or frequency domain analysis.

[0143] like Figure 5 As shown, sharpness processing parameters are generated based on ambient light intensity and detail complexity characteristics, including: Step S501: Determine the edge enhancement gain based on the ambient light intensity and determine the noise reduction threshold based on the detail complexity characteristics.

[0144] The liquid crystal display device acquires the ambient illuminance of its viewing environment and the detail complexity features of the video image to be displayed. These detail complexity features can characterize the richness of texture, edges, high-frequency details, or detail variations in the video image to be displayed. For example, the detail complexity features can be determined based on at least one of the following: the brightness standard deviation, edge density, high-frequency energy, and texture variation of the video image to be displayed.

[0145] In step S502, when the ambient light intensity is higher than the third illuminance threshold, the edge enhancement gain adopts the first edge enhancement gain; when the ambient light intensity is lower than the fourth illuminance threshold, the edge enhancement gain adopts the second edge enhancement gain.

[0146] Step S503: If the detail complexity feature indicates that the detail complexity of the video image to be displayed is higher than the first complexity threshold, the noise reduction threshold is the first noise reduction threshold; if the detail complexity feature indicates that the detail complexity of the video image to be displayed is lower than the second complexity threshold, the noise reduction threshold is the second noise reduction threshold.

[0147] Step S504: The edge enhancement gain and noise reduction threshold are determined as sharpness processing parameters.

[0148] Among them, the third illuminance threshold is greater than the fourth illuminance threshold, the first edge enhancement gain is greater than the second edge enhancement gain, the first complexity threshold is greater than the second complexity threshold, and the noise reduction processing intensity corresponding to the first noise reduction threshold is less than the noise reduction processing intensity corresponding to the second noise reduction threshold. Here, ambient illuminance is compared with the third and fourth illuminance thresholds. The third illuminance threshold is greater than the fourth illuminance threshold. When the ambient illuminance is higher than the third illuminance threshold, it indicates that the LCD device is in a bright viewing environment. In this case, ambient light reflection may weaken the user's perception of image outlines and details; therefore, the edge enhancement gain is determined as the first edge enhancement gain. When the ambient illuminance is lower than the fourth illuminance threshold, it indicates that the LCD device is in a dark viewing environment. In this case, the user is more sensitive to noise, ringing, and excessive edge enhancement; therefore, the edge enhancement gain is determined as the second edge enhancement gain. The first edge enhancement gain is greater than the second edge enhancement gain. That is, stronger edge enhancement is used in brighter environments, and weaker edge enhancement is used in darker environments, thus balancing detail visibility in bright environments and viewing comfort in dark environments. When the ambient illuminance is neither higher than the third illuminance threshold nor lower than the fourth illuminance threshold, an intermediate edge enhancement gain between the first and second edge enhancement gains can be used, or the edge enhancement gain can be determined by interpolation based on the position of the ambient illuminance between the third and fourth illuminance thresholds.

[0149] Furthermore, the detail complexity feature is compared with a first complexity threshold and a second complexity threshold. The first complexity threshold is greater than the second complexity threshold. When the detail complexity feature indicates that the detail complexity of the video image to be displayed is higher than the first complexity threshold, it indicates that the video image contains more texture, edges, or high-frequency details. In this case, if overly strong noise reduction processing is used, it is easy to mistakenly remove real textures and effective details as noise. Therefore, the noise reduction threshold is determined as the first noise reduction threshold, which corresponds to a weaker noise reduction processing intensity. When the detail complexity feature indicates that the detail complexity of the video image to be displayed is lower than the second complexity threshold, it indicates that the video image to be displayed is generally smooth or has fewer details. In this case, the suppression of noise in flat areas can be improved. Therefore, the noise reduction threshold is determined as the second noise reduction threshold, which corresponds to a stronger noise reduction processing intensity. The noise reduction processing intensity corresponding to the first noise reduction threshold is less than the noise reduction processing intensity corresponding to the second noise reduction threshold. Thus, in high detail complexity scenes, there is a greater tendency to preserve texture details, while in low detail complexity scenes, there is a greater tendency to suppress noise. If the detail complexity feature is not higher than the first complexity threshold and not lower than the second complexity threshold, an intermediate noise reduction threshold between the first noise reduction threshold and the second noise reduction threshold can be used, or the noise reduction threshold can be determined by interpolation based on the detail complexity feature.

[0150] Finally, the sharpness enhancement strategy unit determines the edge enhancement gain and noise reduction threshold as sharpness processing parameters and outputs them to the core strategy engine. The edge enhancement gain indicates the intensity of edge or contour enhancement during subsequent image processing; the noise reduction threshold indicates the processing conditions for identifying or suppressing noise components during subsequent image processing. The core strategy engine can combine the sharpness processing parameters with backlight control parameters, contrast adjustment parameters, and color compensation parameters to form a multi-dimensional image quality adjustment parameter set.

[0151] In some embodiments, to avoid abrupt changes in sharpness processing parameters between adjacent video frames, the edge enhancement gain and / or noise reduction threshold can be subjected to amplitude limiting or time smoothing, and then the processed edge enhancement gain and noise reduction threshold can be determined as sharpness processing parameters.

[0152] Exemplarily, in step S501, the liquid crystal display device extracts the luminance component Y of the video image to be displayed, and calculates the detail complexity value D based on the luminance component Y. First, perform Sobel edge detection on the luminance component Y to count the proportion of edge pixels Redge; then perform high-pass filtering on the luminance component Y to count the proportion of high-frequency energy Rhf; then determine the detail complexity value in the following manner: D = w1 × Redge + w2 × Rhf; where, w1 and w2 are weight coefficients, and w1 + w2 = 1. For example, w1 = 0.6 and w2 = 0.4 can be set. The larger the detail complexity value D, the richer the edges, textures, and high-frequency details in the video image to be displayed.

[0153] Furthermore, in step S502, let the current ambient illuminance be E, the third illuminance threshold be E3, and the fourth illuminance threshold be E4, and E3 > E4. For example, E3 can be 500 Lux and E4 can be 100 Lux.

[0154] When E > E3, determine the edge enhancement gain as the first edge enhancement gain G1; when E < E4, determine the edge enhancement gain as the second edge enhancement gain G2; where, G1 > G2.

[0155] For example, G1 can be 1.2 and G2 can be 0.5. That is, stronger edge enhancement is adopted in high-illuminance environments, and weaker edge enhancement is adopted in low-illuminance environments.

[0156] When E4 ≤ E ≤ E3, linear interpolation can be used to determine the edge enhancement gain Gedge: Gedge = G2 + (E - E4) / (E3 - E4) × (G1 - G2) Thus, the edge enhancement gain can vary continuously with the ambient illuminance, avoiding sudden changes in sharpness when the ambient illuminance crosses the threshold.

[0157] And, in step S503, let the first complexity threshold be D1 and the second complexity threshold be D2, and D1 > D2. For example, D1 can be 0.65 and D2 can be 0.35.

[0158] When D > D1, it indicates that the image detail complexity is high, and the first noise reduction threshold T1 is adopted; when D < D2, it indicates that the image detail complexity is low, and the second noise reduction threshold T2 is adopted; where, the noise reduction processing intensity corresponding to T1 is less than the noise reduction processing intensity corresponding to T2.

[0159] For example, T1 = 8 and T2 = 20 can be set. A smaller noise reduction threshold is adopted in high-detail complexity scenarios to reduce the erasure of real textures; a larger noise reduction threshold is adopted in low-detail complexity scenarios to enhance the noise suppression in flat areas.

[0160] When D2≤D≤D1, linear interpolation can be used to determine the noise reduction threshold Tnoise: Tnoise=T2-(D-D2) / (D1-D2)×(T2-T1) Therefore, the higher the detail complexity, the closer the noise reduction threshold is to T1; the lower the detail complexity, the closer the noise reduction threshold is to T2.

[0161] Finally, in step S504, the sharpness enhancement strategy unit determines the edge enhancement gain Gedge and the noise reduction threshold Tnoise as sharpness processing parameters and outputs them to the core strategy engine. In subsequent image processing, the enhancement magnitude of the edge enhancement filter can be controlled based on Gedge, and the degree of noise suppression by the noise reduction module can be controlled based on Tnoise. In this way, the visibility of image edges and contours can be enhanced in high-light environments, while over-sharpening causing noise amplification can be avoided in low-light environments; simultaneously, texture is preserved in high-detail images, and noise suppression is strengthened in low-detail images.

[0162] Through the above steps, the sharpness enhancement strategy unit enables the edge enhancement gain to adapt primarily to the ambient light level, and the noise reduction threshold to adapt primarily to the detail complexity of the video image to be displayed. Therefore, in bright environments, it enhances the visibility of image outlines and details, while in dark environments, it reduces noise amplification and edge artifacts caused by over-sharpening. Simultaneously, it preserves texture details in high-detail images and strengthens noise suppression in low-detail images, thereby improving the sharpness performance of the liquid crystal display device under different viewing environments and different image content.

[0163] The display process will be described below with reference to an example.

[0164] Figure 6 This is a schematic diagram illustrating the process by which the backlight output of the backlight module and the video image to be displayed after image processing work together on the display of the liquid crystal display device in an embodiment of this disclosure.

[0165] like Figure 6 As shown, the process of coordinating the backlight output of the backlight module and the processed video image to be displayed on the liquid crystal display device includes: Step S601: Determine the target video frame corresponding to the video image to be displayed.

[0166] After performing content analysis on the current video image to be displayed and generating a multi-dimensional image quality adjustment parameter set, the liquid crystal display device determines the target video frame corresponding to the video image to be displayed. The target video frame can be the video frame containing the current video image to be displayed, or it can be the next video frame that will be output to the display panel after image processing. In this embodiment, the multi-dimensional image quality adjustment parameter set includes backlight control parameters and image processing parameters. The backlight control parameters may include global backlight control parameters, zone backlight control parameters, and target backlight drive coefficients corresponding to each backlight zone; the image processing parameters may include gamma adjustment parameters, contrast enhancement parameters, color compensation parameters, sharpness processing parameters, and noise reduction parameters.

[0167] Step S602: During the inter-frame blanking period corresponding to the video image to be displayed, the backlight control parameters are sent to the backlight driving circuit and / or the zone backlight controller.

[0168] The inter-frame blanking period can be the time interval used for frame synchronization and data switching between adjacent video frames. Sending backlight control parameters within this inter-frame blanking period can prevent the backlight parameters from switching during the display of a single frame, thereby reducing the risk of sudden changes in screen brightness, flickering, or discontinuous display.

[0169] In some examples, when the backlight control parameters include global backlight control parameters, these global backlight control parameters can be sent to the backlight driver circuit to control the overall backlight output of the backlight module. When the backlight control parameters include zoned backlight control parameters, the target backlight drive coefficients corresponding to each backlight zone can be combined into a zoned backlight control parameter array, and this array can be sent to the zoned backlight controller to control the luminous brightness of each backlight zone separately.

[0170] Step S603: Within the same inter-frame blanking period, the image processing parameters are sent to the corresponding image processing execution unit.

[0171] The image processing execution unit may include at least one of a gamma processing unit, a contrast enhancement unit, a color management unit, a sharpness enhancement unit, and a noise reduction processing unit. For example, gamma adjustment parameters may be sent to the gamma processing unit, contrast enhancement parameters may be sent to the contrast enhancement unit, color compensation matrix may be sent to the color management unit, and edge enhancement gain and noise reduction threshold may be sent to the sharpness enhancement unit and / or the noise reduction processing unit.

[0172] By issuing backlight control parameters and image processing parameters separately within the same inter-frame blanking period, the backlight-side parameters and image-side parameters can be updated based on the fusion decision results corresponding to the same video image to be displayed. This avoids situations where the backlight module outputs new parameters while the image processing still uses the old parameters, or where the image processing has adopted new parameters while the backlight output still uses the old parameters.

[0173] Step S604: Make the backlight control parameters and image processing parameters effective on the same target video frame, and complete the display of the target video frame based on the synchronously effective backlight control parameters and image processing parameters.

[0174] When the target video frame begins to display, the backlight driving circuit and / or the zone backlight controller control the backlight output of the backlight module according to the backlight control parameters; simultaneously, the image processing execution unit processes the image data corresponding to the target video frame according to the image processing parameters, so that the processed video image to be displayed is output to the display panel. Thus, the backlight output of the backlight module and the processed video image to be displayed can work together in the same target video frame to form the final display image.

[0175] In some embodiments, the liquid crystal display device can employ a double-buffering method to achieve synchronized parameter activation. For example, the currently calculated backlight control parameters and image processing parameters are first written into a backup parameter buffer; when the frame synchronization signal arrives, the parameters in the backup parameter buffer are switched to the active parameters. This ensures that the backlight control parameters and image processing parameters take effect uniformly at the start of the target video frame.

[0176] During the display of the target video frame, the backlight module provides the corresponding backlight output according to the backlight control parameters, and the display panel modulates the backlight output according to the image-processed video image to be displayed. Since both the backlight control parameters and the image processing parameters are generated based on the fusion decision of ambient light parameters and content features, and take effect in the same target video frame, a matching relationship can be maintained between the backlight output and the image processing result.

[0177] For example, when the backlight control parameters indicate an increase in the brightness of the overall backlight or a partial backlight zone, the image processing parameters can simultaneously adjust the contrast, gamma, or color compensation to avoid local overexposure or color shift in the image; when the backlight control parameters indicate a decrease in the brightness of a partial backlight zone, the image processing parameters can simultaneously work with the dark area level or local contrast processing to reduce the loss of dark details.

[0178] Through steps S601 to S604, the liquid crystal display device can synchronously send backlight control parameters and image processing parameters within the inter-frame blanking period, and make both effective on the same target video frame. This reduces problems such as brightness abrupt changes, flickering, color abrupt changes, or image quality imbalance caused by asynchrony between backlight output and image processing results, allowing the backlight output of the backlight module and the processed video image to be displayed to work more effectively in the display process.

[0179] Combination Figure 7As shown, this disclosure provides an image quality adjustment device for a liquid crystal display device, including a processor 700 and a memory 701. Optionally, the device may further include a communication interface 702 and a bus 703. The processor 700, communication interface 702, and memory 701 can communicate with each other via the bus 703. The communication interface 702 can be used for information transmission. The processor 700 can call logical instructions in the memory 701 to execute the image quality adjustment method for a liquid crystal display device described in the above embodiment.

[0180] Furthermore, the logic instructions in the aforementioned memory 701 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium.

[0181] The memory 701, as a computer-readable storage medium, can be used to store software programs and computer-executable programs, such as program instructions / modules corresponding to the methods in the embodiments of this disclosure. The processor 700 executes functional applications and data processing by running the program instructions / modules stored in the memory 701, thereby implementing the image quality adjustment method for the liquid crystal display device described above.

[0182] The memory 701 may include a program storage area and a data storage area. The program storage area may store the operating system and application programs required for at least one function; the data storage area may store data created based on the use of the terminal device. Furthermore, the memory 701 may include high-speed random access memory and may also include non-volatile memory.

[0183] This disclosure provides a liquid crystal display device, including: a device body; and the aforementioned image quality adjustment device for the liquid crystal display device, mounted on the device body. The mounting relationship described herein is not limited to placement within the device body, but also includes mounting connections with other components of the liquid crystal display device, including but not limited to physical connections, electrical connections, or signal transmission connections. Those skilled in the art will understand that the image quality adjustment device for the liquid crystal display device can be adapted to suitable device bodies to achieve other feasible embodiments.

[0184] LCD display devices can be LCD TVs, LCD monitors, automotive LCD displays, commercial displays, or other LCD display terminals that use backlight modules for display.

[0185] This disclosure provides a computer-readable storage medium storing computer-executable instructions configured to perform the above-described image quality adjustment method for a liquid crystal display device.

[0186] The aforementioned computer-readable storage medium may be a transient computer-readable storage medium or a non-transitory computer-readable storage medium.

[0187] The technical solutions of this disclosure can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes one or more instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in this disclosure. The aforementioned storage medium can be a non-transitory storage medium, including: a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and other media capable of storing program code; it can also be a transient storage medium.

[0188] The foregoing description and accompanying drawings fully illustrate embodiments of this disclosure to enable those skilled in the art to practice them. Other embodiments may include structural, logical, electrical, procedural, and other changes. The embodiments represent only possible variations. Individual components and functions are optional unless explicitly required, and the order of operation may vary. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. Moreover, the terminology used in this application is for describing embodiments only and is not intended to limit the claims. As used in the description of embodiments and claims, the singular forms “a,” “an,” and “the” are intended to equally include the plural forms unless the context clearly indicates otherwise. Similarly, the term “and / or” as used in this application means including one or more of the associated listed items and all possible combinations thereof. Additionally, when used in this application, the term "comprise" and its variations "comprises" and / or "comprising" refer to the presence of stated features, integrals, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components, and / or groups thereof. Without further limitations, an element defined by the phrase "comprises a..." does not exclude the presence of other identical elements in the process, method, or apparatus that includes said element. In this document, each embodiment may focus on the differences from other embodiments, and similar or identical parts between embodiments can be referred to mutually. For methods, products, etc., disclosed in the embodiments, if they correspond to the method section disclosed in the embodiments, the relevant parts can be referred to the description of the method section.

[0189] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the embodiments of this disclosure. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0190] The methods and products disclosed in the embodiments herein (including but not limited to devices and equipment) can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For instance, the division of units may be merely a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be electrical, mechanical, or other forms. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to implement this embodiment according to actual needs. In addition, the functional units in the embodiments of this disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0191] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than that shown in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different blocks may also occur in a different order than disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. Each block in a block diagram and / or flowchart, and combinations of blocks in a block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

Claims

1. A method for adjusting image quality in a liquid crystal display device, characterized in that, include: Content analysis is performed on the video image to be displayed on the liquid crystal display device to obtain the content features of the video image to be displayed; A fusion decision is made based on the ambient light parameters of the viewing environment of the liquid crystal display device and the content characteristics to generate a multi-dimensional image quality adjustment parameter set; wherein, the multi-dimensional image quality adjustment parameter set includes backlight control parameters for adjusting the backlight output of the liquid crystal display device, and image processing parameters for adjusting the display effect of the video image to be displayed; The backlight module of the liquid crystal display device is controlled according to the backlight control parameters, and the video image to be displayed is processed according to the image processing parameters. The process of using the backlight output of the backlight module and the processed video image to be displayed in conjunction with each other in the display of a liquid crystal display device.

2. The image quality adjustment method according to claim 1, characterized in that, The content features include at least one of brightness distribution features, motion features, detail complexity features, and scene type; Then, the content analysis of the video image to be displayed on the liquid crystal display device to obtain the content features of the video image to be displayed includes at least one of the following: The luminance component of the video image to be displayed is extracted to obtain the luminance distribution characteristics of the video image to be displayed; The image changes between the video image to be displayed and adjacent video images are analyzed to obtain the motion characteristics of the video image to be displayed. Detail complexity analysis is performed on the video image to be displayed to obtain the detail complexity features of the video image to be displayed.

3. The image quality adjustment method according to claim 1, characterized in that, The step of making a fusion decision based on the ambient light parameters of the viewing environment of the liquid crystal display device and the content characteristics to generate a multi-dimensional image quality adjustment parameter set includes: The core strategy engine performs fusion decision-making on the ambient light parameters and the content features to generate the multi-dimensional image quality adjustment parameter set. The core strategy engine includes at least two of the following: a brightness and contrast strategy unit, a local dimming backlight strategy unit, a color management strategy unit, and a sharpness enhancement strategy unit.

4. The image quality adjustment method according to claim 3, characterized in that, The process of fusing and deciding on the ambient light parameters and content features through a core strategy engine to generate the multi-dimensional image quality adjustment parameter set includes: The brightness and contrast strategy unit generates global backlight control parameters and contrast adjustment parameters based on ambient light illuminance and brightness distribution characteristics. The partitioned backlight strategy unit generates partitioned backlight control parameters based on ambient light intensity, brightness distribution characteristics, and motion characteristics. The color management strategy unit generates color compensation parameters based on the ambient light color temperature. The sharpness enhancement strategy unit generates sharpness processing parameters based on ambient light intensity and detail complexity characteristics.

5. The image quality adjustment method according to claim 4, characterized in that, The generation of global backlight control parameters and contrast adjustment parameters based on ambient illuminance and brightness distribution characteristics includes: Based on the ambient illuminance and the average brightness in the brightness distribution characteristics, determine the global backlight reference and contrast adjustment parameters; When the ambient light intensity is greater than the first illuminance threshold and the average brightness is less than the first brightness threshold, the global backlight reference adopts the first backlight value, and the contrast adjustment parameter indicates the adoption of the first contrast enhancement intensity. When the ambient light intensity is less than the second illuminance threshold and the average brightness is greater than the second brightness threshold, the global backlight reference adopts the second backlight value, and the contrast adjustment parameter indicates the adoption of the second contrast enhancement intensity. Wherein, the first illuminance threshold is greater than the second illuminance threshold, and the first brightness threshold is less than the second brightness threshold; Furthermore, the first backlight value is greater than the second backlight value, and the first contrast enhancement intensity is greater than the second contrast enhancement intensity.

6. The image quality adjustment method according to claim 4, characterized in that, The generation of zoned backlight control parameters based on ambient illuminance, brightness distribution characteristics, and motion characteristics includes: The global backlight reference and the maximum attenuation depth of the local dimming are determined based on the ambient illuminance; wherein the global backlight reference is positively correlated with the ambient illuminance, and the maximum attenuation depth of the local dimming is negatively correlated with the ambient illuminance. Based on the backlight partition arrangement of the liquid crystal display device, the video image to be displayed is divided into multiple image partitions corresponding to each backlight partition; Based on the brightness distribution characteristics of each image zone, determine the brightness dimming coefficient corresponding to each backlight zone; The global backlight reference is corrected based on the brightness dimming coefficient to obtain the candidate backlight driving coefficients corresponding to each backlight zone. Based on the global backlight reference and the maximum attenuation depth of the local dimming, determine the lower limit of the backlight drive for each backlight zone; If the candidate backlight driving coefficient corresponding to the target backlight zone is lower than the lower limit of the backlight driving coefficient corresponding to the target backlight zone, the lower limit of the backlight driving coefficient corresponding to the target backlight zone is determined as the initial backlight driving coefficient corresponding to the target backlight zone; if the candidate backlight driving coefficient corresponding to the target backlight zone is not lower than the lower limit of the backlight driving coefficient corresponding to the target backlight zone, the candidate backlight driving coefficient corresponding to the target backlight zone is determined as the initial backlight driving coefficient corresponding to the target backlight zone. Based on the motion characteristics, the initial backlight driving coefficients corresponding to at least some backlight zones are subjected to time smoothing to obtain the target backlight driving coefficients corresponding to each backlight zone, which are used as the backlight control parameters of the zones.

7. The image quality adjustment method according to claim 6, characterized in that, The step of performing time smoothing processing on the initial backlight driving coefficients corresponding to at least a portion of the backlight zones based on the motion characteristics to obtain the target backlight driving coefficients corresponding to each backlight zone includes: When the motion amplitude of the image region corresponding to the target backlight partition is greater than the preset motion threshold, the time smoothing coefficient is determined according to the motion amplitude. The target backlight driving coefficient of the target backlight partition in the current video frame is determined based on the time smoothing coefficient, the historical target backlight driving coefficient of the target backlight partition in the previous video frame, and the initial backlight driving coefficient of the target backlight partition in the current video frame. The greater the amplitude of the motion, the greater the weight of the historical target backlight driving coefficient in determining the target backlight driving coefficient corresponding to the current video frame.

8. The image quality adjustment method according to claim 4, characterized in that, The generation of color compensation parameters based on ambient light color temperature includes: Determine the coordinates of the ambient light white point based on the ambient light color temperature; Calculate the chromaticity deviation between the ambient light white point coordinates and the preset target white point coordinates; A color compensation matrix is ​​generated based on the chromaticity deviation, and used as the color compensation parameter; When performing image processing on the video image to be displayed according to the image processing parameters, the color compensation matrix is ​​loaded into the display color management link of the liquid crystal display device.

9. The image quality adjustment method according to claim 4, characterized in that, The generation of sharpness processing parameters based on ambient light intensity and detail complexity features includes: The edge enhancement gain is determined based on the ambient light intensity, and the noise reduction threshold is determined based on the detail complexity feature. When the ambient light intensity is higher than the third illuminance threshold, the edge enhancement gain adopts the first edge enhancement gain; when the ambient light intensity is lower than the fourth illuminance threshold, the edge enhancement gain adopts the second edge enhancement gain. When the detail complexity feature indicates that the detail complexity of the video image to be displayed is higher than a first complexity threshold, the noise reduction threshold adopts the first noise reduction threshold; when the detail complexity feature indicates that the detail complexity of the video image to be displayed is lower than a second complexity threshold, the noise reduction threshold adopts the second noise reduction threshold. Wherein, the third illuminance threshold is greater than the fourth illuminance threshold, and the first edge enhancement gain is greater than the second edge enhancement gain; The first complexity threshold is greater than the second complexity threshold, and the noise reduction processing intensity corresponding to the first noise reduction threshold is less than the noise reduction processing intensity corresponding to the second noise reduction threshold. The edge enhancement gain and the noise reduction threshold are determined as the sharpness processing parameters.

10. The image quality adjustment method according to any one of claims 1 to 9, characterized in that, The process of coordinating the backlight output of the backlight module and the processed video image to be displayed on the liquid crystal display device includes: Determine the target video frame corresponding to the video image to be displayed; During the inter-frame blanking period corresponding to the video image to be displayed, the backlight control parameters are sent to the backlight driving circuit and / or the zone backlight controller. Within the same inter-frame blanking period, the image processing parameters are sent to the corresponding image processing execution unit; The backlight control parameters and the image processing parameters are made effective on the same target video frame, and the target video frame is displayed based on the synchronously effective backlight control parameters and image processing parameters.

11. A picture quality adjustment device for a liquid crystal display device, comprising a processor and a memory storing program instructions, characterized in that, The processor is configured to, when running the program instructions, execute the image quality adjustment method for a liquid crystal display device as described in any one of claims 1 to 10.

12. A liquid crystal display device, characterized in that, include: Equipment body; The image quality adjustment device for a liquid crystal display device as described in claim 11 is installed on the device body.

Images