Display device

Abstract

The invention relates to a display device. The display device comprises a display screen and a processor. The display screen is used for displaying images and comprises a plurality of pixels, and one pixel comprises a plurality of sub-pixels used for transmitting light of different colors. The processor is connected with the display screen and the backlight module, and the processor is configured to perform image analysis on the to-be-displayed image, obtain a gray scale average value of the to-be-displayed image, and obtain a corresponding multi-level classification label and a corresponding confidence coefficient; the confidence coefficient is used for representing the accuracy of the multi-level classification labels; determining a corresponding lookup table according to the multi-level classification label and the corresponding confidence coefficient; the lookup table comprises a corresponding relation between the multi-level classification labels and the pixel compensation gains; determining a pixel compensation gain according to the lookup table; calculating the pixel value of each pixel in the display screen according to the gray-scale value of each sub-pixel and the pixel compensation gain; and adjusting the transmittance of each pixel in the display screen based on the pixel value. The pixel compensation effect can be improved, and then the display effect is improved.

Description

Technical Field

[0001] This application relates to the field of display technology, and in particular to display devices. Background Technology

[0002] With the continuous evolution of display technology, Mini-LED display technology has attracted much attention due to its excellent contrast, brightness, and color performance. Mini-LED display technology improves the display effect by using a large number of tiny LED beads in the backlight module to achieve fine-grained control of the screen backlight.

[0003] However, in the pixel compensation process of Mini-LED display technology, a thorny technical problem is often encountered, namely, the problem of light leakage caused by excessive pixel compensation gain.

[0004] In the production process of Mini-LED display panels, uneven brightness may exist between different pixel units. To improve this unevenness, it is usually necessary to compensate for the lower-brightness pixel units to bring their brightness to the expected level. This process is called pixel compensation. In actual compensation operations, the combined effect of various complex factors can easily lead to excessive compensation gain. When the pixel compensation gain is too large, the originally lower-brightness pixel units are overcompensated, and their brightness is far higher than normal, thus disrupting the optical balance inside the display panel and causing abnormal light diffusion between pixel units. Specifically, overcompensated pixel units emit stronger light than surrounding pixels. This light can propagate to adjacent pixel areas through tiny gaps between pixel units or other optical paths, thus causing light leakage. Light leakage not only affects the contrast and color accuracy of the displayed image, but also causes visual defects such as blurring and halos, greatly reducing the picture quality of the television display. Especially when displaying high-contrast or images with rich details in dark areas, the light leakage problem becomes more obvious, seriously affecting the user's viewing experience. Summary of the Invention

[0005] Therefore, it is necessary to provide a display device to address the aforementioned problem of inaccurate pixel compensation in existing systems.

[0006] First invention: This application provides a display device, comprising:

[0007] A display screen for displaying images; the display screen includes a plurality of pixels, and each pixel includes a plurality of sub-pixels for transmitting different colors of light;

[0008] A backlight module is used to provide a light source for the display screen;

[0009] A processor, connected to the display screen and the backlight module, is configured to:

[0010] Image analysis is performed on the image to be displayed to calculate the backlight value of the backlight module, the average grayscale value of the image to be displayed, the corresponding multi-level classification labels, and the corresponding confidence scores; the confidence scores are used to characterize the accuracy of the multi-level classification labels.

[0011] A corresponding lookup table is determined based on the backlight value, the multi-level classification label, and the corresponding confidence level; the lookup table includes the correspondence between the backlight value, the multi-level classification label, and the pixel compensation gain;

[0012] The pixel compensation gain is determined according to the lookup table;

[0013] The pixel value of each pixel in the display screen is calculated based on the grayscale value of each sub-pixel and the pixel compensation gain;

[0014] The transmittance of each pixel in the display screen is adjusted based on the pixel value.

[0015] The above technical solution has the following advantages or effects: when determining the lookup table, the backlight value, multi-level classification labels and corresponding confidence scores are combined. Using the confidence score as a condition for determining the lookup table can improve the accuracy of the lookup table, thereby obtaining more accurate pixel compensation gain. Therefore, the pixel value of each pixel in the display screen is calculated based on the grayscale value of each sub-pixel and the pixel compensation gain. Then, the transmittance of each pixel in the display screen is adjusted based on the pixel value, which can achieve more accurate pixel compensation, limit overcompensation of pixels, and improve image quality.

[0016] In one embodiment, the multi-level classification label includes a brightness level label and a scene classification label. The brightness level label includes multi-level compensated brightness levels, and the scene classification label includes multiple scene categories. Determining a corresponding lookup table based on the backlight value, the multi-level classification label, and the corresponding confidence level includes:

[0017] If the brightness level label is in any of the preset multi-level compensation brightness levels, and the confidence level corresponding to the brightness level label is less than the preset value, an optimized lookup table is generated based on the lookup table corresponding to adjacent compensation levels under the same backlight value and the same scene classification.

[0018] The above technical solution has the following advantages or effects: When the brightness level label is in any of the preset multi-level compensation brightness levels, and the confidence level corresponding to the brightness level label is less than the preset value, it indicates that the confidence level of the brightness level label determined at this time does not meet the requirements, and the lookup table needs to be updated. An optimized lookup table is generated based on the lookup tables corresponding to adjacent compensation levels under the same backlight value and the same scene classification, which refines the compensation granularity and makes up for the limitations of the lookup table corresponding to the currently determined brightness level label. This makes the optimized lookup table smoother and more reliable than the lookup table corresponding to the currently determined brightness level label.

[0019] In one embodiment, the brightness level label further includes a higher-order brightness level than each of the compensation brightness levels; an optimized lookup table is generated based on the lookup table corresponding to adjacent brightness compensation levels under the same backlight value and the same scene classification, including:

[0020] When the brightness level label is in a preset multi-level compensation brightness level that is adjacent to the higher brightness level, and the confidence level corresponding to the brightness level label is less than a preset value, the optimized lookup table is generated based on the lookup table corresponding to the brightness compensation level adjacent to the brightness level label and the higher brightness level under the same backlight value and the same scene classification.

[0021] The above technical solution has the following advantages or effects: When the brightness level label is in the first level adjacent to the higher brightness level in the preset multi-level compensation brightness level, and the confidence level corresponding to the brightness level label is less than the preset value, an optimized lookup table is generated based on the lookup table corresponding to the brightness compensation level and the higher brightness level adjacent to the brightness level label under the same backlight value and the same scene classification. Since the optimized lookup table is still generated based on the lookup table corresponding to the two brightness levels adjacent to the compensation brightness level of the image to be displayed, the continuity between the optimized lookup table and the lookup table corresponding to the two adjacent brightness levels is better. Therefore, it can more reasonably make up for the discretization error of the original lookup table and improve the reliability of the optimized lookup table.

[0022] In one embodiment, the brightness level label further includes a higher-level brightness level than each of the compensation brightness levels; the multiple levels of compensation brightness levels include intermediate brightness levels; the intermediate brightness levels include all levels of compensation brightness levels except the last one; an optimized lookup table is generated based on the lookup table corresponding to adjacent brightness compensation levels under the same backlight value and the same scene classification, including:

[0023] When the brightness level label is at an intermediate brightness level and is separated from the higher brightness level, and the confidence level corresponding to the brightness level label is less than a preset value, the optimized lookup table is generated based on the lookup table corresponding to two brightness compensation levels adjacent to the brightness level label under the same backlight value and the same scene classification.

[0024] The above technical solution has the following advantages or effects: When the brightness level label is in the middle brightness level and is separated from the higher brightness level, and the confidence level corresponding to the brightness level label is less than the preset value, an optimized lookup table is generated based on the lookup table corresponding to the two brightness compensation levels adjacent to the brightness level label under the same backlight value and the same scene classification. By utilizing the continuity and correlation of the lookup tables corresponding to the two brightness compensation levels adjacent to the brightness level label, the discretization error of the lookup table corresponding to the current brightness level label is made up for, and the confidence level of the optimized lookup table is improved.

[0025] In one embodiment, an optimized lookup table is generated based on the lookup table corresponding to adjacent brightness compensation levels under the same backlight value and the same scene classification, including:

[0026] When the brightness level label is at the last level in a multi-level compensation brightness level, and the confidence level corresponding to the brightness level label is less than a preset value, the optimized lookup table is generated based on the last level of the compensation brightness level under the same backlight value and the same scene classification, and the lookup table corresponding to a brightness compensation level adjacent to the last level of the compensation brightness level.

[0027] The above technical solution has the following advantages or effects: When the brightness level label is at the last level in a multi-level compensation brightness level, there is only one brightness level adjacent to the brightness level label. By generating an optimized lookup table through the lookup table corresponding to the last level of compensation brightness level under the same backlight value and the same scene classification, and the lookup table corresponding to a brightness compensation level adjacent to the last level of compensation brightness level, it is possible to correct the error of the lookup table corresponding to the current compensation brightness level by the correlation of the local information of the lookup table corresponding to the last level of compensation brightness level and the lookup table corresponding to the lookup table corresponding to the last level of compensation brightness level. This reduces the last-level sudden change, improves the reliability of the optimized lookup table, and makes the corresponding pixel compensation gain more accurate.

[0028] In one embodiment, an optimized lookup table is generated based on the lookup table corresponding to adjacent brightness compensation levels under the same backlight value and the same scene classification, including:

[0029] For the same backlight value and adjacent brightness compensation levels under the same scene classification, perform one of linear interpolation, bilinear interpolation, and weighted averaging on the lookup table to generate the optimized lookup table.

[0030] The above technical solution has the following advantages or effects: it generates an optimized lookup table by performing linear interpolation, bilinear interpolation, and weighted averaging on the lookup tables corresponding to adjacent brightness compensation levels under the same scene classification. This realizes the transformation of discrete compensation into continuous mapping by utilizing the correlation between adjacent levels, thereby reducing the abrupt error caused by discretization between discrete lookup tables and improving the compensation accuracy of the optimized lookup table.

[0031] In one embodiment, the multi-level classification labels include brightness level labels and scene classification labels; determining the corresponding lookup table based on the multi-level classification labels and the corresponding confidence scores includes:

[0032] If the brightness level label is in any of the preset multi-level compensated brightness levels and the corresponding confidence level is greater than or equal to the preset value, the lookup table corresponding to the multi-level classification label is invoked.

[0033] The above technical solution has the following advantages or effects: when the brightness level label is in any of the preset multi-level compensation brightness levels and the corresponding confidence level is greater than or equal to the preset value, the accuracy of the brightness level and scene classification judgment of the image to be displayed meets the requirements. Therefore, the lookup table corresponding to the preset multi-level classification label can be directly called, which can achieve fast and accurate compensation of pixels.

[0034] In one embodiment, the brightness level label includes one of bright field, medium bright field, medium dark field and dark field; the scene classification label includes one of lighting scene, natural landscape scene and portrait scene.

[0035] The above technical solution has the following advantages or effects: it analyzes the image to be displayed, determining its brightness level and scene type. The brightness level label includes one of bright field, medium bright field, medium dark field, and dark field; the scene classification label includes one of lighting scene, natural landscape scene, and portrait scene. The pixel compensation gain is determined by combining the scene and brightness of the image to be displayed, taking into account the impact of color information on user perception and dynamically adjusting the pixel compensation gain. By analyzing the image's brightness level and scene classification, the compensation gain for each pixel unit is determined. For example, in high-saturation color scenes, the compensation gain is appropriately reduced to avoid over-compensation; while in low-saturation or dark scenes, the compensation gain is appropriately increased to improve the display effect. This allows the display device to better meet the user's visual perception needs after compensating each pixel based on the pixel compensation gain, effectively avoiding light leakage problems, and improving the contrast, color accuracy, and overall visual effect of the displayed image.

[0036] In one embodiment, the backlight module includes multiple backlight zones; image analysis is performed on the image to be displayed, calculating the backlight value of the backlight module and the average grayscale value of the image to be displayed, including:

[0037] Image analysis is performed on the image to be displayed to calculate the backlight value corresponding to each backlight zone, the average grayscale value of the region in the image to be displayed corresponding to each backlight zone, and / or,

[0038] Calculating the pixel value of each pixel in the display screen based on the grayscale value of each sub-pixel and the pixel compensation gain includes:

[0039] The pixel value of each pixel is calculated based on the grayscale value of each sub-pixel in the display area corresponding to the backlight partition and the pixel compensation gain; and / or,

[0040] Adjusting the transmittance of the display screen based on the pixel values ​​includes:

[0041] The transmittance of each pixel in the display screen corresponding to the backlight partition is adjusted based on the pixel value.

[0042] The above technical solution has the following advantages or effects: In this embodiment, the backlight module includes multiple backlight zones. For each backlight zone, the corresponding pixel compensation requirements may be different. Based on the average grayscale value of the area corresponding to each backlight zone in the image to be displayed, the multi-level classification labels and their confidence levels are determined for each corresponding area. Then, based on the backlight value of the backlight zone, the multi-level classification labels, and the corresponding confidence levels, a corresponding lookup table is determined. Based on the pixel compensation gain in the lookup table, differentiated compensation is performed on the pixels in the area corresponding to the backlight zone, enabling the display device to more accurately control the pixel brightness within each backlight zone, achieving local dimming, effectively avoiding light leakage caused by excessive compensation gain, and simultaneously improving the contrast, color accuracy, and overall visual effect of the displayed image. Furthermore, the display device of this application can dynamically adjust the compensation strategy according to different image scenes, making the displayed image more in line with the user's visual perception needs, further enhancing the user's viewing experience.

[0043] In one embodiment, calculating the pixel value of each pixel in the display screen based on the grayscale value of each sub-pixel and the pixel compensation gain includes:

[0044] The largest grayscale value of each sub-pixel in the display area corresponding to the backlight partition is taken as the first backlight brightness value of the backlight partition.

[0045] The first backlight brightness value is convolved to obtain a second backlight brightness value; the second backlight brightness value is used to characterize the brightness value after simulating the light diffusion of the backlight partition;

[0046] The pixel value of each pixel in the display screen is calculated based on the second backlight brightness value and the pixel compensation gain.

[0047] The above technical solution has the following advantages or effects: For the display area corresponding to each backlight zone in the display screen, the largest grayscale value of each sub-pixel in that area is selected as the first backlight brightness value of that backlight zone. The grayscale value reflects the brightness information of the pixel, and selecting the largest grayscale value can ensure that the brightness of the backlight zone can meet the needs of the brightest pixel in the display area. A convolution operation is performed on the first backlight brightness value to obtain the second backlight brightness value. The convolution operation can simulate the light diffusion effect of the backlight zone. In actual display, the light from the backlight zone will diffuse to the surrounding area through structures such as optical diffusion layers. Through the convolution operation, the brightness distribution after diffusion can be calculated, so the second backlight brightness value can more accurately reflect the brightness contribution of the backlight in the actual display of the zone. Based on the second backlight brightness value and the preset display target brightness value, the pixel compensation gain of each pixel is calculated. The pixel compensation gain is used to adjust the actual brightness of the pixel to achieve the expected display effect. By using the second backlight brightness value as a reference, the problem of excessive or insufficient pixel compensation gain caused by uneven backlight zone brightness can be reduced. The pixel compensation gain is determined based on the backlight value of each backlight zone, the multi-level classification labels of the corresponding areas in the image to be displayed, and the lookup table with confidence level. Therefore, by calculating the pixel value of each pixel in the display screen based on the second backlight brightness value and the pixel compensation gain, the problem of excessive pixel compensation gain in the existing technology can be improved, making the pixel value more accurate. Adjusting the transmittance of the pixels at the corresponding positions of each backlight zone based on the pixel value can make the brightness and color performance of each pixel meet expectations and improve display problems such as light leakage. Attached Figure Description

[0048] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0049] Figure 1 This is a schematic block diagram of the structure of a display device according to an embodiment of this application;

[0050] Figure 2 This is one of the schematic flowcharts of a pixel compensation method configured in the processor of a display device according to an embodiment of this application;

[0051] Figure 3 This is a second schematic flowchart illustrating a pixel compensation method configured in the processor of a display device according to an embodiment of this application. Detailed Implementation

[0052] To make the above-mentioned objectives, features, and advantages of this application more apparent and understandable, the specific embodiments of this application are described in detail below with reference to the accompanying drawings. Many specific details are set forth in the following description to provide a thorough understanding of this application. However, this application can be implemented in many other ways different from those described herein, and those skilled in the art can make similar modifications without departing from the spirit of this application. Therefore, this application is not limited to the specific embodiments disclosed below.

[0053] In the description of this application, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc., indicating the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this application.

[0054] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0055] In this application, unless otherwise expressly specified and limited, the terms "installation," "connection," "joining," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components, unless otherwise expressly limited. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances.

[0056] With the rapid development of mini-LED technology in televisions, precise control of pixel compensation is becoming increasingly important. In traditional solutions, backlight brightness and pixel compensation gain are often negatively correlated during pixel compensation. In dark scenes, because the corresponding backlight brightness is very low (close to zero), the corresponding pixel compensation gain is very large, leading to pixel oversaturation after compensation and causing light leakage.

[0057] Therefore, proposing a display device that can improve the determination of pixel compensation gain and enhance the display effect is a technical problem that urgently needs to be solved.

[0058] See appendix Figure 1 , attached Figure 1 A schematic diagram of a display device according to an embodiment of this application is shown. The display device in this embodiment may include a display screen for displaying images. The display screen in this embodiment may include multiple pixels, and each pixel includes multiple sub-pixels for transmitting different colors of light.

[0059] The display device in this application embodiment may include a backlight module, which is used to provide a light source for the display screen.

[0060] The display device in this application embodiment may include a processor, which is connected to the display screen and the backlight module. The processor may be a System-on-Chip (SoC) processor.

[0061] See appendix Figure 2 , attached Figure 2 A schematic flowchart of a pixel compensation method configured with a processor according to this application is shown. The processor in this embodiment can be configured to perform steps S201 to S205.

[0062] Step S201: Perform image analysis on the image to be displayed, and calculate the backlight value of the backlight module, the average grayscale value of the image to be displayed, the corresponding multi-level classification label, and the corresponding confidence level.

[0063] The image to be displayed can be obtained by following these steps: converting the incoming video image signal into a high-quality image suitable for the display screen output, and performing preprocessing such as color enhancement and upsampling on the high-quality image to generate the image to be displayed.

[0064] For example, image analysis of the image to be displayed can be performed by an image processing module. Calculating the backlight value of the backlight module, the average grayscale value of the image to be displayed, the corresponding multi-level classification labels, and the corresponding confidence scores can be implemented using a neural network model (such as a convolutional neural network model), with the confidence scores output using softmax (an activation function). Furthermore, the aforementioned neural network model can be constructed through training on a large number of images.

[0065] The backlight value of the backlight module is the basic brightness parameter provided by the backlight module, and the backlight value of the backlight module directly affects the overall brightness of the image displayed on the screen.

[0066] The average grayscale value of an image is a key indicator for measuring the overall brightness and darkness of the image. Grayscale represents the brightness levels of a pixel, from the darkest (black, usually level 0) to the brightest (white, usually level 255). In an 8-bit color depth display system, the grayscale range of each pixel is 0~255 (256 levels in total); the higher the value, the brighter the pixel. For color images (such as RGB red, green, and blue channels), grayscale values ​​are usually calculated based on the brightness weighting of the three primary colors (e.g., Y=0.299R+0.587G+0.114B) to simulate the human eye's perception of the brightness of different colors. The average grayscale value represents the arithmetic mean of the grayscale values ​​of all pixels in the image to be displayed, reflecting the overall brightness and darkness of the image. For example, the average grayscale value of a completely black image is 0, while that of a completely white image is 255; the average grayscale value of an image with uniform brightness (such as a 50% gray background) is approximately 128.

[0067] Multi-level classification labels are used to characterize the category of the image to be displayed. For example, multi-level classification labels can be applied to indicate the scene and / or brightness level of the image. For instance, the image to be displayed could be a face in a medium brightness field, a beach in a bright field, a city night scene in a dark field, etc., and is not limited to these.

[0068] Confidence level is used to characterize the accuracy of multi-level classification labels.

[0069] Step S202: Determine the corresponding lookup table (LUT table) based on the backlight value, multi-level classification label and corresponding confidence level.

[0070] The lookup table includes the correspondence between backlight value, multi-level classification labels, and pixel compensation gain.

[0071] The lookup table can be pre-defined or regenerated based on a pre-defined lookup table. For example, if the confidence level meets the requirements, the pre-defined lookup table can be directly called; if the confidence level does not meet the requirements, a new lookup table can be regenerated based on the existing pre-defined lookup table.

[0072] The backlight value calculated in the preceding step S201 can establish a dynamic mapping relationship between pixel brightness and backlight intensity. The final pixel brightness is determined by the base light intensity (backlight value) provided by the backlight module and the pixel transmittance. Therefore, by determining the corresponding lookup table based on the backlight value, multi-level classification labels and corresponding confidence levels, the lookup table can be determined more accurately.

[0073] There are multiple lookup tables, each representing the correspondence between the multi-level classification labels and the pixel compensation gain. For example, taking a multi-level classification label that includes brightness level labels and scene classification labels, the lookup tables in this embodiment may include multiple lookup tables, each representing the pixel compensation gain corresponding to each brightness level and scene classification under each backlight value. For instance, if the scene classification labels include portraits and natural scenery, and the brightness level labels include bright field, medium bright field, medium dark field, and dark field, the multiple lookup tables could be respectively: the pixel compensation gain corresponding to a bright field portrait under a preset backlight value, the pixel compensation gain corresponding to a medium bright field portrait under a preset backlight value, the pixel compensation gain corresponding to a medium dark field portrait under a preset backlight value, the pixel compensation gain corresponding to a dark field portrait under a preset backlight value, the pixel compensation gain corresponding to a bright field natural scenery under a preset backlight value, the pixel compensation gain corresponding to a medium bright field natural scenery under a preset backlight value, the pixel compensation gain corresponding to a medium dark field natural scenery under a preset backlight value, and the pixel compensation gain corresponding to a dark field natural scenery under a preset backlight value. The backlight values ​​can be different, and the categories included in the multi-level classification labels can be other than those in the examples above.

[0074] Step S203: Determine the pixel compensation gain according to the lookup table.

[0075] Step S204: Calculate the pixel value of each pixel in the display screen based on the grayscale value of each sub-pixel and the pixel compensation gain.

[0076] Step S205: Adjust the transmittance of each pixel in the display screen based on the pixel value.

[0077] The grayscale value of each sub-pixel can be the grayscale value of the current sub-pixel. The pixel value of each pixel in the display screen is calculated based on the grayscale value of the sub-pixel and the pixel compensation gain. The pixel value of each pixel after compensation is determined. The transmittance of each pixel in the display screen is adjusted according to the compensated pixel value to achieve accurate pixel compensation.

[0078] In this embodiment, the backlight value, multi-level classification labels, and corresponding confidence levels are combined when determining the lookup table. Using the confidence level as a condition for determining the lookup table can improve the accuracy of the lookup table and thus obtain more accurate pixel compensation gain. Therefore, the pixel value of each pixel in the display screen is calculated based on the grayscale value of each sub-pixel and the pixel compensation gain, and the transmittance of each pixel in the display screen is adjusted based on the pixel value. This can achieve more accurate pixel compensation, limit overcompensation of pixels, and improve image quality.

[0079] In one embodiment, the multi-level classification label includes a brightness level label and a scene classification label. The brightness level label includes a multi-level compensated brightness level, and the scene classification label includes multiple scene categories.

[0080] An optimized lookup table is generated based on the lookup tables corresponding to adjacent brightness compensation levels under the same backlight value and the same scene category. This includes: when the brightness level label is in any of the preset multi-level compensation brightness levels and the confidence level corresponding to the brightness level label is less than the preset value, an optimized lookup table is generated based on the lookup tables corresponding to adjacent compensation levels under the same backlight value and the same scene category.

[0081] Multi-level compensation brightness refers to the need for pixel compensation for corresponding pixels when the image to be displayed is determined to be at a certain brightness level. For example, brightness levels can be divided into bright field, medium bright field, medium dark field, and dark field. If the analysis of the image to be displayed determines that the brightness level label under the corresponding scene category label is bright field, and the confidence level is greater than or equal to a preset value, then pixel compensation is not required. However, if the analysis of the image to be displayed determines that the brightness level label under the corresponding scene category label is any one of medium bright field, medium dark field, and dark field, then a corresponding lookup table needs to be determined first, and then pixel compensation is performed on the pixels based on the pixel compensation gain in the lookup table. In this case, the multi-level compensation brightness level in this embodiment can be any one of medium bright field, medium dark field, and dark field.

[0082] If the confidence level corresponding to the brightness level label is less than the preset value, it indicates that the accuracy of the brightness level judgment is not high. For example, taking a brightness compensation level from high to low, including medium brightness field, low brightness field, and dark field, with a preset value of 80%, if the confidence level of the image to be displayed is 60% for medium brightness field, 30% for low brightness field, and 10% for dark field, it means that the confidence level of the image to be displayed being in the medium brightness field is not high, and there is a large uncertainty in this classification. If the lookup table corresponding to the brightness field is directly used to determine the pixel compensation gain, it may introduce a large error, resulting in oversaturation of the compensated pixels and affecting the display effect.

[0083] In this embodiment, if the brightness level label is in any of the preset multi-level compensation brightness levels and the confidence level corresponding to the brightness level label is less than the preset value, it indicates that the confidence level of the determined brightness level label does not meet the requirements and the lookup table needs to be updated. An optimized lookup table is generated based on the lookup tables corresponding to adjacent compensation levels under the same backlight value and the same scene classification. This refines the compensation granularity, makes up for the limitations of the lookup table corresponding to the currently determined brightness level label, and makes the optimized lookup table smoother and more reliable than the lookup table corresponding to the currently determined brightness level label.

[0084] In one embodiment, the brightness level label also includes a higher-level brightness level than each level of compensated brightness level.

[0085] An optimized lookup table is generated based on the lookup tables corresponding to adjacent brightness compensation levels under the same backlight value and the same scene classification. This includes: when the brightness level label is in the first level adjacent to the higher brightness level in the preset multi-level compensation brightness levels, and the confidence level corresponding to the brightness level label is less than the preset value, an optimized lookup table is generated based on the lookup tables corresponding to the first level of brightness compensation level adjacent to the brightness level label and the higher brightness level under the same backlight value and the same scene classification.

[0086] The high-level brightness is the brightness level at which no pixel compensation is required when the image to be displayed is at that brightness level.

[0087] For example, if the high-level brightness is a bright field, the multi-level compensation brightness levels include medium bright field, medium dark field and dark field from high to low. When the analysis of the image to be displayed determines that the brightness level label corresponding to the image to be displayed is a medium bright field, and the confidence level corresponding to the brightness level label is less than the preset value, it means that the confidence level of determining that the image to be displayed is a medium bright field does not meet the requirements. At this time, an optimized lookup table is generated based on the lookup table corresponding to the bright field and the lookup table corresponding to the medium dark field under the same backlight value and the same scene classification.

[0088] In this embodiment, when the brightness level label is in a preset multi-level compensation brightness level that is adjacent to the higher brightness level, and the confidence level corresponding to the brightness level label is less than the preset value, an optimized lookup table is generated based on the lookup tables corresponding to the brightness compensation level adjacent to the brightness level label and the higher brightness level under the same backlight value and the same scene classification. Since the optimized lookup table is still generated based on the lookup tables corresponding to the two brightness levels adjacent to the compensation brightness level of the image to be displayed, the continuity between the optimized lookup table and the lookup tables corresponding to the two adjacent brightness levels is better. Therefore, it can more reasonably make up for the discretization error of the original lookup table and improve the reliability of the optimized lookup table.

[0089] In one embodiment, the brightness level label further includes a higher brightness level than each level of compensated brightness level; the multi-level compensated brightness level includes intermediate brightness levels; the intermediate brightness level includes the multi-level compensated brightness levels excluding the last level.

[0090] An optimized lookup table is generated based on the lookup tables corresponding to adjacent brightness compensation levels under the same backlight value and the same scene classification. This includes: when the brightness level label is in the middle brightness level and is separated from the higher brightness level, and the confidence level corresponding to the brightness level label is less than a preset value, an optimized lookup table is generated based on the lookup tables corresponding to two brightness compensation levels adjacent to the brightness level label under the same backlight value and the same scene classification.

[0091] For example, the multi-level compensation brightness levels include medium bright field, medium dark field and dark field from high to low, the multi-level compensation brightness levels other than the last level are dark field, and the intermediate brightness levels from high to low are medium bright field and medium dark field.

[0092] In this embodiment, when the brightness level label is in the middle brightness level and is separated from the higher brightness level, and the confidence level corresponding to the brightness level label is less than the preset value, an optimized lookup table is generated based on the lookup tables corresponding to the two brightness compensation levels adjacent to the brightness level label under the same backlight value and the same scene classification. By utilizing the continuity and correlation of the lookup tables corresponding to the two brightness compensation levels adjacent to the brightness level label, the discretization error of the lookup table corresponding to the current brightness level label is compensated, and the confidence level of the optimized lookup table is improved.

[0093] In one embodiment, generating an optimized lookup table based on lookup tables corresponding to adjacent brightness compensation levels under the same backlight value and the same scene classification includes: when the brightness level label is the last level in a multi-level compensation brightness level and the confidence level corresponding to the brightness level label is less than a preset value, generating an optimized lookup table based on the last level of compensation brightness level under the same backlight value and the same scene classification and a lookup table corresponding to a brightness compensation level adjacent to the last level of compensation brightness level.

[0094] For example, the multi-level compensation brightness levels include medium bright field, medium dark field and dark field from high to low, and the multi-level compensation brightness levels other than the last level are dark field.

[0095] In this embodiment, when the brightness level label is at the last level in a multi-level compensation brightness level, there is only one brightness level adjacent to the brightness level label. An optimized lookup table is generated by using the last level of compensation brightness level under the same backlight value and the same scene classification, and the lookup table corresponding to a brightness compensation level adjacent to the last level of compensation brightness level. This allows the error of the lookup table corresponding to the current compensation brightness level to be corrected by the correlation of local information between the lookup table corresponding to the last level of compensation brightness level and the lookup table corresponding to the lookup table corresponding to the last level of compensation brightness level. This reduces sudden changes at the last level, improves the reliability of the optimized lookup table, and makes the corresponding pixel compensation gain more accurate.

[0096] In one embodiment, generating an optimized lookup table based on lookup tables corresponding to adjacent brightness compensation levels under the same scene classification includes: performing one of linear interpolation, bilinear interpolation, and weighted averaging on the lookup tables corresponding to adjacent brightness compensation levels under the same scene classification to generate an optimized lookup table.

[0097] For example, suppose the preset pixel compensation gains for the dark field under the same scene classification and different backlight intensities are 1.5, 1.4, and 1.3, respectively; and the pixel compensation gains for the mid-dark field under the same scene classification and different backlight intensities are 1.3, 1.2, and 1.1, respectively. If the confidence level of the multi-level classification label of the image to be displayed is low, the lookup table can be optimized by interpolating the pixel compensation gains of the dark field and mid-dark field, for example, by taking the average of the two. This would give the optimized lookup table pixel compensation gains of 1.4, 1.3, and 1.2 under the same scene classification and different backlight intensities, thus achieving a smoother and more reliable compensation effect.

[0098] The core logic of linear interpolation is that the pixel compensation gain changes of adjacent levels n and n+1 on the one-dimensional brightness axis are linearly related. A straight line is determined by two points to estimate the pixel compensation gain corresponding to multiple brightness levels. The core logic of bilinear interpolation is that multi-level classification labels include brightness level labels and scene classification labels. Two-dimensional interpolation is performed based on the pixel compensation gain of four adjacent points (rows n and n+1 and columns m and m+1), first linearly interpolating in the x-direction, then linearly interpolating in the y-direction. The core logic of weighted averaging is to assign different weights to the LUT values ​​of adjacent levels, highlighting the influence of more reliable data. Those skilled in the art can flexibly choose the corresponding optimized lookup table generation method according to their needs, and are not limited to the examples above.

[0099] In this embodiment, one of the following methods is used to generate an optimized lookup table for the lookup tables corresponding to adjacent brightness compensation levels under the same scene classification: linear interpolation, bilinear interpolation, and weighted averaging. This achieves the transformation of discrete compensation into continuous mapping by utilizing the correlation between adjacent levels, thereby reducing the abrupt error caused by discretization between discrete lookup tables and improving the compensation accuracy of the optimized lookup table.

[0100] In one embodiment, the multi-level classification labels include brightness level labels and scene classification labels.

[0101] The lookup table is determined based on the multi-level classification labels and their corresponding confidence levels, including: when the brightness level label is in any of the preset multi-level compensated brightness levels and the corresponding confidence level is greater than or equal to the preset value, the lookup table corresponding to the multi-level classification label is called.

[0102] In this embodiment, when the brightness level label is in any of the preset multi-level compensation brightness levels and the corresponding confidence level is greater than or equal to the preset value, the accuracy of the brightness level and scene classification judgment of the image to be displayed meets the requirements. Therefore, the lookup table corresponding to the preset multi-level classification label can be directly called to achieve fast and accurate pixel compensation.

[0103] In one embodiment, the brightness level label includes one of bright field, medium bright field, medium dark field and dark field; the scene classification label includes one of lighting scene, natural landscape scene and portrait scene.

[0104] For example, in some everyday dark scenes, such as nighttime street scenes, the brightness level label features an average grayscale value less than a first threshold, and the brightness histogram is mainly concentrated in the 0-20% brightness range, which can be considered as being in a dark field brightness level. The saturation gain near streetlights is low, easily leading to the loss of detail in dark areas (such as people and landscapes). To improve dark field detail, a corresponding lookup table is determined based on confidence level, and pixel compensation gain in the lookup table is used to enhance the overall brightness of dark areas, thus enhancing dark field detail. In mid-to-high brightness scenes, such as sunny beaches, the brightness level label features an average grayscale value greater than a second threshold, and the histogram exhibits a bimodal distribution. Users are concerned with contrast and need to enhance details such as the sky. In this case, a corresponding lookup table is determined based on confidence level, and pixel compensation gain in the lookup table is used to correct the compensation in highlight areas, improving the brightness gradient and thus enhancing contrast.

[0105] In this embodiment, the image to be displayed is analyzed, and its brightness level and scene type are determined. The brightness level label includes one of bright field, medium bright field, medium dark field, and dark field; the scene classification label includes one of lighting scene, natural landscape scene, and portrait scene. The pixel compensation gain is determined by combining the scene and brightness of the image to be displayed, taking into account the impact of color information on user perception, and dynamically adjusting the pixel compensation gain. By analyzing the image's brightness level and scene classification, the compensation gain for each pixel unit is determined. For example, in high-saturation color scenes, the compensation gain is appropriately reduced to avoid overcompensation; while in low-saturation or dark scenes, the compensation gain is appropriately increased to improve the display effect. This allows the display device to better meet the user's visual perception needs after compensating each pixel based on the pixel compensation gain, effectively avoiding light leakage problems, and improving the contrast, color accuracy, and overall visual effect of the displayed image.

[0106] In some embodiments, the display device includes a backlight module, which includes a plurality of backlight zones for providing a light source for the display screen.

[0107] Image analysis is performed on the image to be displayed, and the backlight value of the backlight module and the average grayscale value of the image to be displayed are calculated. This includes: image analysis of the image to be displayed, and calculation of the backlight value corresponding to the backlight zone and the average grayscale value of the area corresponding to each backlight zone in the image to be displayed.

[0108] In one embodiment, calculating the pixel value of each pixel in the display screen based on the grayscale value of each sub-pixel and the pixel compensation gain includes: calculating the pixel value of each corresponding pixel based on the grayscale value of each sub-pixel in the display area corresponding to the backlight partition and the pixel compensation gain.

[0109] In one embodiment, adjusting the transmittance of each pixel in the display screen based on pixel values ​​includes: adjusting the transmittance of each pixel in the display screen corresponding to the display area of ​​the backlight partition based on pixel values.

[0110] In this embodiment, the backlight module includes multiple backlight zones. For each backlight zone, the corresponding pixel compensation requirements may differ. Multi-level classification labels and their confidence levels are determined based on the average grayscale value of the corresponding areas in the image to be displayed. Then, a lookup table is determined based on the backlight value of the backlight zone, the multi-level classification labels, and the corresponding confidence levels. Based on the pixel compensation gain in the lookup table, differentiated compensation is applied to the pixels in the areas corresponding to the backlight zones. This allows the display device to more accurately control the pixel brightness within each backlight zone, achieving local dimming and effectively avoiding light leakage caused by excessive compensation gain. Simultaneously, it improves the contrast, color accuracy, and overall visual effect of the displayed image. Furthermore, the display device of this application can dynamically adjust the compensation strategy according to different image scenes, making the displayed image more consistent with the user's visual perception needs and further enhancing the user's viewing experience.

[0111] In one embodiment, see Appendix Figure 3 , Figure 3 This is a second schematic flowchart illustrating a pixel compensation method configured in the processor of a display device according to an embodiment of this application. The method calculates the pixel value of each pixel in the display screen based on the grayscale value of each sub-pixel and the pixel compensation gain, including the following steps S301 to S303.

[0112] Step S301: Take the largest grayscale value of each sub-pixel in the display area corresponding to the backlight partition as the first backlight brightness value of the backlight partition.

[0113] For example, consider a pixel comprising three sub-pixels, used to distribute the transmission of red, blue, and green light. Each sub-pixel has an independent grayscale value (e.g., 0-255). The first backlight brightness value of the backlight zone is defined as Zone_Backlight = Max_In_Zone(max(Pix_R, Pix_G, Pix_B)), where Pix_R is the grayscale value of the red photon sub-pixel, Pix_G is the grayscale value of the green photon sub-pixel, Pix_B is the grayscale value of the blue photon sub-pixel, and Max_In_Zone is the maximum value within the zone.

[0114] Step S302: Convolve the first backlight brightness value to obtain the second backlight brightness value; the second backlight brightness value is used to characterize the brightness value after the light emission diffusion of the simulated backlight partition.

[0115] For example, the second backlight value Pix_Backlight = zone convolution (Zone_Backlight).

[0116] Step S303: Calculate the pixel value of each pixel in the display screen based on the second backlight brightness value and pixel compensation gain.

[0117] For example, the pixel compensation gain Pix_Modify_Gain = LUT(Pix_In) can be calculated using the formula for calculating the pixel value of each pixel in the display screen based on the second backlight brightness value and the pixel compensation gain as: Pix_Compensation_Gain_new = (255 / Pix_Backlight)^(1 / 2.2)*Pix_Modify_Gain, where Pix_Compensation_Gain_new is the pixel value of the pixel.

[0118] In this embodiment, for each display area corresponding to a backlight zone in the display screen, the largest grayscale value of each sub-pixel within that area is selected as the first backlight brightness value for that backlight zone. The grayscale value reflects the brightness information of a pixel; selecting the largest grayscale value ensures that the brightness of the backlight zone meets the requirements of the brightest pixel within the display area. A convolution operation is performed on the first backlight brightness value to obtain a second backlight brightness value. The convolution operation simulates the light diffusion effect of the backlight zone. In actual display, the light from the backlight zone diffuses to the surrounding area through structures such as optical diffusion layers. Through the convolution operation, the brightness distribution after diffusion can be calculated, thus the second backlight brightness value more accurately reflects the brightness contribution of the backlight in the actual display of the zone. Based on the second backlight brightness value and a preset target display brightness value, the pixel compensation gain for each pixel is calculated. The pixel compensation gain is used to adjust the actual brightness of the pixel to achieve the expected display effect. By using the second backlight brightness value as a reference, the problem of excessive or insufficient pixel compensation gain due to uneven backlight zone brightness can be reduced. The pixel compensation gain is determined based on the backlight value of each backlight zone, the multi-level classification labels of the corresponding areas in the image to be displayed, and the lookup table with confidence level. Therefore, by calculating the pixel value of each pixel in the display screen based on the second backlight brightness value and the pixel compensation gain, the problem of excessive pixel compensation gain in the existing technology can be improved, making the pixel value more accurate. Adjusting the transmittance of the pixels at the corresponding positions of each backlight zone based on the pixel value can make the brightness and color performance of each pixel meet expectations and improve display problems such as light leakage.

[0119] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages in other steps. The technical features of the embodiments described above can be combined arbitrarily. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as the combination of these technical features does not contradict each other, it should be considered within the scope of this specification.

[0120] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the scope of protection of this application. Therefore, the scope of protection of this patent application should be determined by the appended claims.

Claims

1. A display device, characterized in that, include: A display screen for displaying images; the display screen includes a plurality of pixels, and each pixel includes a plurality of sub-pixels for transmitting different colors of light; A backlight module is used to provide a light source for the display screen; A processor, connected to the display screen and the backlight module, is configured to: Image analysis is performed on the image to be displayed to calculate the backlight value of the backlight module, the average grayscale value of the image to be displayed, the corresponding multi-level classification labels, and the corresponding confidence scores; the confidence scores are used to characterize the accuracy of the multi-level classification labels. The corresponding lookup table is determined based on the backlight value, the multi-level classification label, and the corresponding confidence level. The lookup table includes the correspondence between the backlight value, the multi-level classification label, and the pixel compensation gain; The pixel compensation gain is determined according to the lookup table; The pixel value of each pixel in the display screen is calculated based on the grayscale value of each sub-pixel and the pixel compensation gain; The transmittance of each pixel in the display screen is adjusted based on the pixel value.

2. The display device according to claim 1, characterized in that, The multi-level classification labels include brightness level labels and scene classification labels. The brightness level labels include multi-level compensated brightness levels, and the scene classification labels include multiple scene categories. A corresponding lookup table is determined based on the backlight value, the multi-level classification labels, and the corresponding confidence level, including: If the brightness level label is in any of the preset multi-level compensation brightness levels, and the confidence level corresponding to the brightness level label is less than the preset value, an optimized lookup table is generated based on the lookup table corresponding to adjacent compensation levels under the same backlight value and the same scene classification.

3. The display device according to claim 2, characterized in that, The brightness level label also includes a higher brightness level than each of the compensation brightness levels; an optimized lookup table is generated based on the lookup table corresponding to adjacent brightness compensation levels under the same backlight value and the same scene category, including: When the brightness level label is in a preset multi-level compensation brightness level that is adjacent to the higher brightness level, and the confidence level corresponding to the brightness level label is less than a preset value, the optimized lookup table is generated based on the lookup table corresponding to the brightness compensation level adjacent to the brightness level label and the higher brightness level under the same backlight value and the same scene classification.

4. The display device according to claim 2, characterized in that, The brightness level label also includes a higher brightness level than each of the compensation brightness levels; the multi-level compensation brightness levels include intermediate brightness levels; the intermediate brightness levels include all compensation brightness levels except the last one; an optimized lookup table is generated based on the lookup table corresponding to adjacent brightness compensation levels under the same backlight value and the same scene classification, including: When the brightness level label is at an intermediate brightness level and is separated from the higher brightness level, and the confidence level corresponding to the brightness level label is less than a preset value, the optimized lookup table is generated based on the lookup table corresponding to two brightness compensation levels adjacent to the brightness level label under the same backlight value and the same scene classification.

5. The display device according to claim 2, characterized in that, An optimized lookup table is generated based on the lookup table corresponding to adjacent brightness compensation levels under the same backlight value and the same scene category, including: When the brightness level label is at the last level in a multi-level compensation brightness level, and the confidence level corresponding to the brightness level label is less than a preset value, the optimized lookup table is generated based on the last level of the compensation brightness level under the same backlight value and the same scene classification, and the lookup table corresponding to a brightness compensation level adjacent to the last level of the compensation brightness level.

6. The display device according to any one of claims 2 to 5, characterized in that, An optimized lookup table is generated based on the lookup table corresponding to adjacent brightness compensation levels under the same backlight value and the same scene category, including: For the same backlight value and adjacent brightness compensation levels under the same scene classification, perform one of linear interpolation, bilinear interpolation, and weighted averaging on the lookup table to generate the optimized lookup table.

7. The display device according to claim 1, characterized in that, The multi-level classification labels include brightness level labels and scene classification labels; Determine the corresponding lookup table based on the multi-level classification labels and the corresponding confidence scores, including: If the brightness level label is in any of the preset multi-level compensated brightness levels and the corresponding confidence level is greater than or equal to the preset value, the lookup table corresponding to the multi-level classification label is invoked.

8. The display device according to claim 2 or 7, characterized in that, The brightness level label includes one of bright field, medium bright field, medium dark field and dark field; the scene classification label includes one of lighting scene, natural landscape scene and portrait scene.

9. The display device according to claim 1, characterized in that, The backlight module includes multiple backlight zones; Image analysis is performed on the image to be displayed, and the backlight value of the backlight module and the average grayscale value of the image to be displayed are calculated, including: Image analysis is performed on the image to be displayed to calculate the backlight value corresponding to each backlight zone, the average grayscale value of the region in the image to be displayed corresponding to each backlight zone, and / or, Calculating the pixel value of each pixel in the display screen based on the grayscale value of each sub-pixel and the pixel compensation gain includes: The pixel value of each pixel is calculated based on the grayscale value of each sub-pixel in the display area corresponding to the backlight partition and the pixel compensation gain; and / or, Adjusting the transmittance of the display screen based on the pixel values ​​includes: The transmittance of each pixel in the display screen corresponding to the backlight partition is adjusted based on the pixel value.

10. The display device according to claim 9, characterized in that, Calculating the pixel value of each pixel in the display screen based on the grayscale value of each sub-pixel and the pixel compensation gain includes: The largest grayscale value of each sub-pixel in the display area corresponding to the backlight partition is taken as the first backlight brightness value of the backlight partition. The first backlight brightness value is convolved to obtain a second backlight brightness value; the second backlight brightness value is used to characterize the brightness value after simulating the light diffusion of the backlight partition; The pixel value of each pixel in the display screen is calculated based on the second backlight brightness value and the pixel compensation gain.

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