Backlight adjustment method and apparatus, device, medium, and program

Abstract

A backlight adjustment method and apparatus, a device, a medium, and a program product. The backlight adjustment method comprises: dividing a backlight region (401) into a plurality of image regions (201); setting a target image parameter value and an image parameter error accuracy of each image region (201); calculating the current image parameter value of each image region (201); determining whether a difference value between the current image parameter value and the target image parameter value is greater than the image parameter error accuracy; when the difference value between the current image parameter value and the target image parameter value is greater than the image parameter error accuracy, performing backlight correction on the backlight region (401) corresponding to the image region (201); and when the difference value between the current image parameter value and the target image parameter value is less than or equal to the image parameter error accuracy, not performing backlight adjustment on the backlight region (401) corresponding to the image region (201).

Description

Backlight adjustment methods, devices, equipment, media and procedures Technical Field

[0001] This disclosure relates to the field of image display, specifically to a backlight adjustment method, apparatus, device, medium, and program. Background Technology

[0002] The field of image display technology is constantly evolving, with new technologies emerging and existing ones being improved to meet people's ever-growing demand for high-quality, high-contrast visual experiences. Adjusting the monitor's backlight is one method to improve image quality.

[0003] However, existing backlight adjustment methods suffer from high power consumption in order to achieve high contrast and high image quality.

[0004] Summary of the Invention

[0005] The problem addressed by the embodiments of this disclosure is to provide a backlight adjustment method, apparatus, device, medium, and program that can reduce power consumption during image display.

[0006] To address the aforementioned problems, this disclosure provides a backlight adjustment method, comprising: obtaining multiple image regions based on the division of backlight areas; setting target values ​​for image parameters and image parameter error precision for each image region; calculating the current values ​​of image parameters for each image region; determining whether the difference between the current value of the image parameters and the target value of the image parameters is greater than the image parameter error precision; performing backlight correction on the backlight region corresponding to the image region when the difference between the current value of the image parameters and the target value of the image parameters is greater than the image parameter error precision; and not performing backlight adjustment on the backlight region corresponding to the image region when the difference between the current value of the image parameters and the target value of the image parameters is less than or equal to the image parameter error precision.

[0007] Optionally, each image region includes multiple pixels. Before performing backlight correction, the method further includes: calculating the regional backlight value and the number of pixels in each image region; the correction step includes: calculating the number of pixels in the image region to be corrected whose pixel value is greater than the regional backlight value; determining the relative size of the number of pixels and a preset threshold; when the number of pixels is greater than the preset threshold, brightening the regional backlight value; when the number of pixels is less than the preset threshold, darkening the regional backlight value; and when the number of pixels is equal to the preset threshold, keeping the regional backlight value unchanged.

[0008] Optionally, the step of calculating the regional backlight value of each image region includes obtaining the backlight value using the average value method, square root method, maximum value method, table lookup method, cumulative distribution function method, or mapping function inversion method.

[0009] Optionally, the preset threshold is greater than or equal to 2 / 3.

[0010] Optionally, the backlight correction step includes: judging the relative magnitude of the difference between the current value of the image parameter and the target value of the image parameter and the image parameter error accuracy for the image area after backlight correction; until the difference between the current value of the image parameter and the target value of the image parameter after backlight correction is less than or equal to the image parameter error accuracy.

[0011] Optionally, the number of corrections can be preset before backlight correction, and the backlight correction steps include: performing backlight correction based on the preset number of corrections.

[0012] Optionally, in the step of setting the target values ​​of image parameters and the image parameter error precision for each image region: the target values ​​of image parameters include: a contrast target value; the image parameter error precision includes: a contrast error precision; or, in the step of setting the target values ​​of image parameters and the image parameter error precision for each image region: the target values ​​of image parameters include: a contrast target value and an image quality evaluation index target value; the image parameter error precision includes: a contrast error precision and an image quality evaluation index error precision.

[0013] Optionally, the image parameter error precision is represented by x, and satisfies the following relationship: 0.01% ≤ x ≤ 1%.

[0014] Accordingly, this disclosure also provides a backlight adjustment device, comprising: a region division unit for obtaining multiple image regions according to the division of backlight regions; a preset unit for setting target values ​​of image parameters and image parameter error precision for each image region; a calculation unit for calculating the current values ​​of image parameters for each image region; a judgment unit for judging whether the difference between the current value of the image parameter and the target value of the image parameter is greater than the image parameter error precision; and a backlight driving module for not adjusting the backlight region corresponding to the image region when the difference between the current value of the image parameter and the target value of the image parameter is less than or equal to the image parameter error precision; and for performing backlight correction on the backlight region corresponding to the image region when the difference between the current value of the image parameter and the target value of the image parameter is greater than the image parameter error precision.

[0015] Accordingly, this disclosure also provides an electronic device, including a memory and a processor; the memory stores computer-executable instructions, and the processor invokes the computer-executable instructions to execute the backlight adjustment method.

[0016] Accordingly, this disclosure also provides a storage medium, characterized in that the storage medium stores computer-executable instructions, which, when executed, implement the backlight adjustment method.

[0017] Accordingly, this disclosure also provides a computer program product, characterized in that it includes computer-executable instructions, which, when executed, implement the backlight adjustment method.

[0018] Compared with the prior art, the technical solution of the present disclosure has the following advantages: The technical solution of the present disclosure judges multiple areas of the backlight area separately. When the image parameter error accuracy requirements are met, no backlight adjustment is performed. Only when the image parameter error accuracy requirements are not met is the backlight correction performed on the area. Therefore, backlight adjustment can be achieved only for local areas, and the power consumption of the display device can be reduced while obtaining high-quality images. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of this disclosure or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of this disclosure. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0020] Figure 1 is a flowchart of a backlight adjustment method provided in an embodiment of the present disclosure;

[0021] Figure 2 is a schematic diagram of the display device containing backlight in step S1 of Figure 1;

[0022] Figure 3 is a schematic diagram of the display principle of the display device in Figure 2;

[0023] Figure 4 is a schematic diagram showing the relationship between the backlight area and the image area in step S1 of Figure 1.

[0024] Figure 5 is a flowchart of step S5 in the backlight adjustment method in Figure 1;

[0025] Figure 6 is a functional block diagram of the backlight adjustment device provided in an embodiment of the present disclosure as shown in Figure 1;

[0026] Figure 7 is a functional block diagram of an electronic device provided in one embodiment of this disclosure. Detailed Implementation

[0027] The technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this disclosure, and not all embodiments. Based on the embodiments of this disclosure, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this disclosure.

[0028] To address the aforementioned technical problem, this disclosure provides a backlight adjustment method. Referring to FIG1, a flowchart of a backlight adjustment method according to an embodiment of this disclosure is shown. The backlight adjustment method includes:

[0029] Step S1: Obtain multiple image regions based on the division of the backlight area;

[0030] Step S2: Set the target values ​​of image parameters and the image parameter error precision for each image region;

[0031] Step S3: Calculate the current values ​​of image parameters for each image region;

[0032] Step S4: Determine whether the difference between the current value of the image parameter and the target value of the image parameter is greater than the image parameter error precision;

[0033] Step S5: When the difference between the current value of the image parameter and the target value of the image parameter is greater than the image parameter error accuracy, a backlight correction step is performed on the backlight area corresponding to the image area.

[0034] Step S6: When the difference between the current value of the image parameter and the target value of the image parameter is less than or equal to the image parameter error accuracy, no backlight adjustment is performed on the backlight area corresponding to the image area.

[0035] To more clearly illustrate the inventive principle of the backlight adjustment method disclosed herein, the steps are described in detail below with reference to a schematic diagram of the display device.

[0036] Step S1 is executed to obtain multiple image regions based on the division of the backlight area. Referring to Figures 2 and 3, a schematic diagram of the liquid crystal display device and its equivalent circuit are shown. It should be noted that a liquid crystal display device is used as an example here. In other embodiments, other display devices with backlights may also be used.

[0037] The liquid crystal display device comprises, from bottom to top, a backlight panel 4, a thin film transistor (TFT) substrate 1, a liquid crystal layer 2, and a color filter (CF) substrate 3. The TFT substrate includes a first glass substrate 11 and a thin film transistor 12 located on the first glass substrate 11. The CF substrate comprises, from bottom to top, a common electrode 31, a color filter 32, a touch screen 33, and a second glass substrate 34.

[0038] Referring to Figure 3, during actual display, the liquid crystal display driving circuit will drive the liquid crystal display through gate lines G1, G2...G... N Turn on the thin-film transistor 12 row by row, and connect the data lines S1, S2...S NWhen the gate line turns on the thin-film transistor 12, a pixel voltage is provided to the pixel electrode 35 of each sub-pixel, and a pixel voltage is applied to the common electrode 31. The pixel electrode 35 and the common electrode 31 form an equivalent capacitance Clc. The electric field in the equivalent capacitance Clc passes through the liquid crystal molecules 21 in the liquid crystal layer 2. The magnitude of the electric field determines the rotation angle of the liquid crystal molecules 21, and the rotation angle of the liquid crystal molecules 21 determines the intensity of the light passing through the sub-pixel in a specific direction.

[0039] Liquid crystals themselves do not emit light. Therefore, when a liquid crystal display device displays a picture, the light emitted from the light source on the backlight panel 4 passes through the liquid crystal layer 2. The liquid crystal molecules 21 control the intensity of the transmitted light, and in conjunction with the RGB light-transmitting areas on the color filter, control the proportion of the three primary colors emitted by the liquid crystal display device, thereby achieving the display of different colors. When displaying video, each frame of the video sequence is displayed sequentially on the liquid crystal display device, forming a video clip.

[0040] To achieve high-quality image display, the backlight can be adjusted locally according to the image display requirements. Figure 4 shows the correspondence between the backlight panel and the displayed image. The backlight panel 4 can use LED (Light Emitting Diode) light sources, therefore the backlight panel 4 includes multiple (e.g., hundreds) arrayed LEDs 402. In hardware, the LEDs 402 on the backlight panel 4 can be divided into backlight areas, that is, LEDs 402 located in the same backlight area 401 are connected together to facilitate simultaneous brightening or dimming. LEDs 402 located in different backlight areas 401 can be dimmed separately according to the image display requirements, thus realizing regional backlight adjustment. Compared with global dimming, regional backlight adjustment determines whether the backlight source needs adjustment, so the backlight correction of regional backlight adjustment is more targeted. Therefore, regional backlight adjustment is a more delicate and precise method of backlight control, which can reduce power consumption while ensuring image quality.

[0041] It should be noted that, for the sake of simplicity, the entire backlight panel 4 in Figure 4 is illustrated by dividing it into 9 areas (3 rows and 3 columns), and this should not be used to limit the scope of this disclosure. In actual display devices, the more partitions there are, the more convenient it is to finely adjust the backlight of each area 401; the fewer partitions there are, the lower the cost of the display device and the higher the backlight adjustment efficiency.

[0042] Accordingly, when performing step S1, the backlight adjustment method of this disclosure divides the image region based on the partitioning on the hardware of the backlight panel 4 to obtain multiple regions 201, so as to judge and adjust the backlight of each region 201 respectively.

[0043] Specifically, as shown in Figure 4, there is a one-to-one correspondence between image regions 201 and backlight regions 401. Multiple image regions 201 are obtained based on the division of backlight regions 401. For example, when the backlight panel includes 9 backlight regions 401, the displayed image will be correspondingly divided into 9 image regions 201, which facilitates the partitioning judgment and correction of whether backlight adjustment is required.

[0044] It should be noted that, in addition to the correspondence in quantity, the positions of image area 201 and backlight area 401 also have a one-to-one correspondence. For example, when displaying an image of two people talking face to face, the image area in the upper right corner is the display area for one person's head, and the image area in the lower left corner is the display area for the other person's seat.

[0045] Step S1 involves dividing the entire displayed image into image regions 201 based on the backlight area 401 of the backlight panel.

[0046] It should also be noted that image display requires high resolution, therefore each image region 201 includes hundreds of thousands, or even millions, of pixels. Let 'a' represent the number of pixels in an image, and 'n' be the number of image regions (including the number of backlight areas). Then each image region has m = a / n pixels. For example, 1920 × 1080 means the display device can display 1080 rows and 1920 columns, for a total of 2,073,600 pixels. In the case of 9 image regions, each image region 201 has 230,400 pixels.

[0047] Execute step S2 to set the target values ​​of image parameters and the accuracy of image parameter error for each image region 201.

[0048] It should be noted that when displaying images, due to hardware limitations (such as resolution), the display device cannot completely reproduce the image to be displayed, and there is a certain gap between the image presented on the hardware and the target image.

[0049] Several image parameters are used to characterize image quality. For example, contrast ratio refers to the difference between the brightest and darkest parts of an image. When an image is displayed, contrast ratio affects its sharpness and the visibility of details. Images with high contrast generally appear sharper and more detailed, while images with low contrast appear blurry. Another example is the image quality assessment metric PSNR (Peak Signal-to-Noise Ratio), a commonly used standard for evaluating image quality. It assesses the quality of image restoration by comparing the original image to a distorted image. A higher PSNR value indicates less image distortion and better quality.

[0050] When displaying an image, target values ​​for image parameters can be set for each image region 201 based on image quality requirements. Simultaneously, the image parameter error precision for each image region 201 can be set, serving as a benchmark for determining whether the difference between the actual displayed image and the ideal image meets display requirements.

[0051] Image parameter error accuracy can be characterized as an error percentage. The smaller the percentage, the smaller the difference between the actual displayed image and the ideal image. Therefore, the backlight adjustment method of this disclosure has high requirements for the actual displayed image, and thus sets the image parameter error accuracy to be as small as possible. Specifically, the image parameter error accuracy is within the range of 0.01% to 1%. That is to say, the image parameter error accuracy is represented by x, and satisfies the following relationship: 0.01% ≤ x ≤ 1%.

[0052] Different error precisions can be set according to different image parameters. For example: the image parameter target is the contrast target value LC. goal Accordingly, the image parameter error accuracy is the contrast error accuracy ε. LC .

[0053] In other embodiments, different image parameters can be set according to the image quality requirements. For example:

[0054] Image parameter target values ​​include contrast target value LC goal Image quality evaluation metric target value PSNR goal Two parameters; correspondingly, the image parameter error accuracy is the contrast error accuracy ε. LC and ε PSNR ...

[0055] Perform step S3 to calculate the current values ​​of image parameters for each image region.

[0056] When the backlight is turned on, the display signal corresponding to each frame of the video sequence is loaded onto the display device. At this time, each image area 201 uses the initial backlight, and the current value of the image parameters of each image area 201 under the initial backlight is calculated.

[0057] Referring to Figure 4, when displaying an image of two people talking face-to-face, the upper right image area 201 is the display area for one person's head (the k-th area). The current contrast value LC of this head display area... init Perform the calculation:

[0058] H b =y max (i)-y min (i); H b =y max (i)+ymin (i)

[0059] In the formula, y(i) is the pixel value of the i-th pixel corresponding to the k-th region under the initial backlight. max This represents the maximum pixel value of the image display area (the k-th area) under the initial backlighting, y min This represents the minimum pixel value of the image display area (the kth region) under the initial backlight.

[0060] Similarly, in addition to the image display area (the k-th area), the contrast of the other eight areas is calculated separately. This provides data to determine whether backlight adjustment should be applied to each image area later.

[0061] Step S4 is executed to determine whether the difference between the current value of the image parameter and the target value of the image parameter is greater than the image parameter error precision. This is used to determine whether the current image quality meets the display requirements, and thus serves as the basis for determining whether to adjust the backlight.

[0062] In step S5, if the difference between the current value of the image parameter and the target value of the image parameter is greater than the image parameter error accuracy, it indicates that the actual displayed image and the ideal image are significantly different under the initial backlight and do not meet the display requirements. In this case, backlight correction is performed on the backlight area corresponding to the image area, and the image area is defined as the image area to be corrected.

[0063] To correct backlighting in backlit areas, it is necessary to first determine whether the current image area needs to be brightened or darkened.

[0064] Referring to Figure 5, each image region 201 includes multiple pixels. Before performing backlight correction, the method further includes: S31 calculating the region backlight value and the number of pixels for each image region 201; the correction step includes:

[0065] Step S51: Calculate the number of pixels in the image region to be corrected whose pixel value is greater than the region's backlight value;

[0066] Step S52: Determine the relative size of the number of pixels to a preset threshold;

[0067] Step S53: When the number of pixels is greater than a preset threshold, the backlight value of the area is brightened.

[0068] Step S54: When the number of pixels is less than a preset threshold, the backlight value of the area is darkened.

[0069] Step S55: When the number of pixels is equal to a preset threshold, keep the area backlight value unchanged.

[0070] This backlight correction method can make brighter areas of the image brighter and darker areas darker, thereby increasing the image contrast and improving the image display quality.

[0071] Specifically, in this embodiment, the step of calculating the regional backlight value of each image region includes calculating the regional backlight value using the average value method. The average value method takes the average grayscale value of the pixels within the image region as the backlight brightness of that image region. The average value method algorithm is relatively simple and consumes less power. For example, 1920×1080 represents a display device. In the case of 9 image regions, each image region 201 has 230,400 pixels. The average grayscale value of the 230,400 pixels in each image region 201 is calculated as the regional backlight value.

[0072] The square root method can also be used to calculate the backlight value of a region. The square root method calculates the average gray value of each backlight region, then normalizes it and takes the root mean square value to determine the backlight intensity, which can further enhance the backlight signal of the average method.

[0073] Alternatively, the backlight value can be obtained using the maximum value method. The maximum value method uses the maximum value of all pixels in the corresponding image area as the backlight value, and this method preserves most of the image details.

[0074] In other embodiments, the backlight value of the current area can also be calculated using methods such as lookup table (LUT), cumulative distribution function (CDF), and inverted mapping function (IMF).

[0075] In addition to calculating the backlight value of each image region 201, it is also necessary to count the number of pixel values ​​in image region 201 that are greater than the current region's backlight value, as a criterion for determining whether to over-adjust or under-adjust. For example, in a display device with 1920×1080 resolution and 9 image regions, each image region 201 has 230,400 pixels. The number of pixels among these 230,400 that have a backlight value greater than the current region's backlight value is counted.

[0076] The specific steps for backlight correction include:

[0077] In step S51, the pixel value of each pixel in the image area to be corrected is compared with the backlight value of the area. If the pixel value is greater than the backlight value, it is counted. After comparing each pixel in the image area to be corrected, the number of pixels in the image area to be corrected whose pixel value is greater than the backlight value is accumulated.

[0078] In step S52, by determining the relative size of the number of pixels in the image region whose pixel value is greater than the region's backlight value and a preset threshold, it can be determined whether the image region to be corrected is a brighter or darker region.

[0079] In this embodiment, the preset threshold is 2 / 3 of the total number of pixels in each image region. That is, in the image region to be corrected, if more than 2 / 3 of the pixel values ​​are greater than the region backlight value, it means that the image region to be corrected is a brighter region; if less than 2 / 3 of the pixel values ​​are greater than the region backlight value, it means that the image region to be corrected is a darker region; if exactly 2 / 3 of the pixel values ​​are greater than the region backlight value, it means that the image region to be corrected is a region with moderate brightness.

[0080] Let count represent the number of pixels in the image region to be corrected whose pixel value is greater than the region's backlight value, and m represent the total number of pixels in the image region. Then λ = count / m. In order to determine the pixel size of most pixels in image region 201, 2 / 3 ≤ λ < 1.

[0081] In step S53, when the number of pixels is greater than a preset threshold, it indicates that the area of ​​the image to be corrected is a brighter area. When performing backlight correction, the backlight value of the area is brightened. That is, a correction value is further added to the calculated backlight value of the area as the corrected backlight value of the area.

[0082] Specifically, BL current BL represents the corrected area backlight value. avg BL is the area backlight value obtained in step S31 using the averaging algorithm (the averaging algorithm is used as an example here). correct The correction value satisfies the following formula:

[0083] BL current =BL avg +BL correct ;

[0084] BL correct =2 n n = 0, 1, 2, 3, 4, 5

[0085] The value of n can be selected based on factors such as the accuracy requirements of image parameter errors and the efficiency of backlight adjustment. A smaller value for n allows for fine-tuning of the backlight, resulting in a more precise backlight brightening process; a larger value for n allows for coarser backlight adjustment, resulting in higher efficiency in backlight brightening.

[0086] With the revised BL correct The brightness of the backlight area is adjusted by using the backlight value of the backlight area corresponding to the image area 201.

[0087] In step S54, when the number of pixels is less than a preset threshold, it indicates that the area of ​​the image to be corrected is a darker area. When performing backlight correction, the backlight value of the area is darkened. That is, the correction value is further reduced based on the calculated backlight value of the area, which is then used as the corrected backlight value of the area.

[0088] Specifically, BL current BL represents the corrected area backlight value. avg BL represents the area backlight value obtained through an averaging algorithm. correct The correction value satisfies the following formula:

[0089] BL current =BL avg -BL correct ;

[0090] BL correct =2 n n = 0, 1, 2, 3, 4, 5

[0091] The value of n can be selected based on factors such as the accuracy requirements of image parameter errors and the efficiency of backlight adjustment. A smaller value of n allows for fine-tuning of the backlight, resulting in a more precise backlight dimming process; a larger value of n allows for coarser backlight adjustments, leading to higher efficiency in backlight dimming.

[0092] Step S55: When the number of pixels equals a preset threshold, it indicates that the image area to be corrected is a region with moderate brightness and darkness. The backlight value of the region remains unchanged, i.e., the BL calculated in step S31 is used. avg As the regional backlight value, no further correction will be made.

[0093] By executing step S5, the backlight of the image area that needs to be corrected is adjusted, so that the backlight value of the originally brighter area is increased, thus making it brighter, while the backlight value of the originally darker area is decreased, thus making it darker, thereby increasing the contrast of the entire image and improving the image display quality.

[0094] In step S6, if the difference between the current value of the image parameter and the target value of the image parameter is less than or equal to the image parameter error accuracy, it means that the difference between the actual displayed image and the ideal image under the initial backlight meets the display requirements. Therefore, there is no need to adjust the initial backlight, and the backlight of the current backlight area 401 can be maintained.

[0095] Therefore, the backlight adjustment method disclosed herein sets image parameters in step S2 and calculates image parameters in step S3. When it is determined in step S4 that the display requirements are met, the area that meets the display requirements does not need to be backlit. Compared with the scheme of backlight adjustment for each area, this reduces power consumption.

[0096] Taking contrast as an example, in step S3, the current contrast value LC of the image display area (the kth area) under the initial backlight is... init If |LC init -LC goal |≤ε LC If the relationship is such that the initial backlight (current backlight) is the required backlight and no adjustment is needed.

[0097] Similarly, if the image parameter is the image quality evaluation index PSNR, then when |PSNR| is satisfied... init -PSNR goal |≤ε PSNR When the relationship is as described, it indicates that the initial backlight (current backlight) is the backlight required for matching, and no adjustment is needed.

[0098] In this backlight adjustment method, each image region is first judged during adjustment. Regions that meet the image quality requirements (i.e., meet the image parameter error accuracy requirements) do not need to be adjusted, while only regions that do not meet the image quality requirements (i.e., do not meet the image parameter error accuracy requirements) are subject to backlight correction, thereby reducing power consumption.

[0099] It should be noted that the backlight correction process can be performed only once, as the image quality has already been improved with a single backlight correction. If higher image quality is required, multiple backlight corrections can be performed.

[0100] The backlight adjustment method disclosed herein can trigger multiple backlight corrections in different ways. Referring again to Figure 4, the steps for backlight correction include: judging the relative magnitude of the difference between the current value of the image parameter and the target value of the image parameter and the image parameter error accuracy after the backlight correction is completed; until the difference between the current value of the image parameter and the target value of the image parameter after backlight correction is less than or equal to the image parameter error accuracy.

[0101] As shown in Figure 5, after completing one backlight correction step S5, the corrected data serves as feedback, and step S4 is executed to determine the image quality. If the image quality does not meet the requirements, backlight correction is performed again, thus forming a correction loop based on the feedback of the correction data, triggering multiple backlight correction steps. This method ensures that the image quality obtained after backlight adjustment fully meets the display requirements.

[0102] It should be noted that performing multiple backlight corrections can also be done in other ways, such as: pre-setting the number of corrections before backlight correction, and the steps for performing backlight correction include: performing backlight correction based on the pre-set number of corrections.

[0103] If high image quality is required, the number of backlight corrections can be increased; if the focus is on improving backlight adjustment efficiency, the number of corrections can be decreased. Optionally, the preset number of corrections can be in the range of 2 to 10.

[0104] To address the aforementioned technical problems, this disclosure also provides a backlight adjustment device. Referring to Figure 6, which is a functional block diagram of a backlight adjustment device provided in an embodiment of this disclosure,...

[0105] The backlight adjustment device 30 in this embodiment includes: a region division unit 301, a preset unit 302, a calculation unit 303, a judgment unit 304, and a backlight driving module 305.

[0106] The region segmentation unit 301 is used to obtain multiple image regions based on the segmentation of the backlight region;

[0107] The preset unit 302 is used to set the target values ​​of image parameters and the accuracy of image parameter errors for each image region;

[0108] The calculation unit 303 is used to calculate the current values ​​of image parameters for each image region;

[0109] The judgment unit 304 is used to determine whether the difference between the current value of the image parameter and the target value of the image parameter is greater than the image parameter error precision;

[0110] The backlight driving module 305 is used to not adjust the backlight of the backlight area corresponding to the image area when the difference between the current value of the image parameter and the target value of the image parameter is less than or equal to the image parameter error accuracy; it is also used to perform backlight correction on the backlight area corresponding to the image area when the difference between the current value of the image parameter and the target value of the image parameter is greater than the image parameter error accuracy.

[0111] The backlight adjustment device disclosed herein is used to judge multiple areas of the backlight area separately. When the image parameter error accuracy requirements are met, no backlight adjustment is performed. Only when the image parameter error accuracy requirements are not met is the backlight correction performed on that area. Therefore, backlight adjustment can be achieved only for local areas, which can reduce the power consumption of the display device while obtaining high-quality images.

[0112] Optionally, the calculation unit 303 is further configured to calculate the regional backlight value and the number of pixels in each image region; the backlight driving module 305 is further configured to calculate the number of pixels in the image region to be corrected whose pixel value is greater than the regional backlight value; determine the relative size of the number of pixels and a preset threshold; when the number of pixels is greater than the preset threshold, brighten the regional backlight value; when the number of pixels is less than the preset threshold, darken the regional backlight value; and when the number of pixels is equal to the preset threshold, keep the regional backlight value unchanged. The preset threshold may optionally be greater than or equal to 2 / 3.

[0113] Optionally, the calculation unit 303 is further configured to obtain the backlight value using the average value method, square root method, maximum value method, table lookup method, cumulative distribution function method, or mapping function inversion method.

[0114] Optionally, the judgment unit 304 is further configured to judge the relative magnitude of the difference between the current value of the image parameter and the target value of the image parameter and the image parameter error accuracy of the image region after backlight correction; until the difference between the current value of the image parameter and the target value of the image parameter after backlight correction by the backlight driving module 305 is less than or equal to the image parameter error accuracy.

[0115] Optionally, the preset number of corrections is preset in the preset unit 302, and the backlight driving module 305 performs backlight correction based on the preset number of corrections.

[0116] Optionally, the target values ​​of the image parameters in the preset unit 302 include: a contrast target value; the image parameter error precision includes: a contrast error precision; or, in the step of setting the target values ​​of the image parameters and the image parameter error precision for each image region: the target values ​​of the image parameters include: a contrast target value and an image quality evaluation index target value; the image parameter error precision includes: a contrast error precision and an image quality evaluation index error precision.

[0117] Optionally, the image parameter error precision is represented by x, and satisfies the following relationship: 0.01% ≤ x ≤ 1%.

[0118] In a further optional implementation, this disclosure also provides a video decoding terminal. For example, FIG7 exemplarily shows an optional block diagram of the video decoding terminal provided by this disclosure. As shown in FIG7, the video decoding terminal may include: a processor 601, a communication interface 602, a memory 603, and a communication bus 604.

[0119] Optionally, the processor 601 may be a CPU (Central Processing Unit), GPU (Graphics Processing Unit), NPU (Embedded Neural Network Processor), FPGA (Field Programmable Gate Array), TPU (Tensor Processing Unit), AI chip, ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement embodiments of the present disclosure.

[0120] Optionally, the communication interface 602 can be an interface for a communication module used for network communication. Optionally, the memory 603 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0121] The memory 603 stores computer-executable instructions, and the processor 601 invokes the computer-executable instructions to execute the backlight adjustment method provided in the embodiments of this disclosure.

[0122] In a further optional implementation, embodiments of this disclosure also provide a storage medium storing computer-executable instructions that, when executed (e.g., by a processor), implement the backlight adjustment method provided in embodiments of this disclosure.

[0123] In a further optional implementation, embodiments of this disclosure also provide a computer program product including computer-executable instructions that, when executed (e.g., executed by a processor), implement the backlight adjustment method provided in embodiments of this disclosure.

[0124] The foregoing describes multiple embodiment schemes provided by the present disclosure. The optional methods described in each embodiment scheme can be combined and cross-referenced with each other without conflict, thereby extending to a variety of possible embodiment schemes. These can all be considered as the embodiment schemes disclosed and made public by the present disclosure.

[0125] While the embodiments disclosed herein are as described above, this disclosure is not limited thereto. Any person skilled in the art can make various alterations and modifications without departing from the spirit and scope of this disclosure; therefore, the scope of protection of this disclosure should be determined by the scope defined in the claims.

Claims

1. A backlight adjustment method, characterized in that, The method includes: Based on the division of the backlight area, multiple image regions are obtained; Set the target values ​​for image parameters and the accuracy of image parameter errors for each image region; Calculate the current values ​​of image parameters for each image region; Determine whether the difference between the current value and the target value of the image parameters is greater than the image parameter error precision; When the difference between the current value of the image parameter and the target value of the image parameter is greater than the image parameter error accuracy, backlight correction is performed on the backlight area corresponding to the image region. When the difference between the current value of the image parameter and the target value of the image parameter is less than or equal to the image parameter error accuracy, no backlight adjustment is performed on the backlight area corresponding to that image area.

2. The backlight adjustment method as described in claim 1, characterized in that, Each image region includes multiple pixels. Before performing backlight correction, the following steps are also included: calculating the regional backlight value and the number of pixels for each image region. The steps for making corrections include: Calculate the number of pixels in the image region whose pixel value is greater than the region's backlight value; Determine the relative size of the number of pixels to a preset threshold; When the number of pixels exceeds a preset threshold, the backlight value of the area is brightened. When the number of pixels is less than a preset threshold, the backlight value of the area is dimmed. When the number of pixels equals a preset threshold, the area backlight value remains unchanged.

3. The backlight adjustment method as described in claim 2, characterized in that, The steps for calculating the backlight value of each image region include: obtaining the backlight value using the average value method, square root method, maximum value method, table lookup method, cumulative distribution function method, or mapping function inversion method.

4. The backlight adjustment method as described in claim 1, characterized in that, The preset threshold is greater than or equal to 2 / 3.

5. The backlight adjustment method as described in claim 1, characterized in that, The steps for backlight correction include: The image region that has completed backlight correction is then re-evaluated for the difference between the current value and the target value of the image parameters and the relative magnitude of the image parameter error precision. The process continues until the difference between the current value of the image parameter after backlight correction and the target value of the image parameter is less than or equal to the image parameter error accuracy.

6. The backlight adjustment method as described in claim 1, characterized in that, Before backlight correction, the number of corrections is preset. The steps for backlight correction include: performing backlight correction based on the preset number of corrections.

7. The backlight adjustment method as described in claim 1, characterized in that, In the steps of setting the target values ​​of image parameters and the image parameter error precision for each image region: the target values ​​of image parameters include: a contrast target value; the image parameter error precision includes: a contrast error precision; or... In the steps of setting the target values ​​of image parameters and the image parameter error precision for each image region: the target values ​​of image parameters include: the target value of contrast and the target value of image quality evaluation index; the image parameter error precision includes: the contrast error precision and the image quality evaluation index error precision.

8. The backlight adjustment method as described in claim 1, characterized in that, The image parameter error precision is represented by x, and satisfies the following relationship: 0.01% ≤ x ≤ 1%.

9. A backlight adjustment device, characterized in that, include: The region segmentation unit is used to obtain multiple image regions based on the division of the backlight area; The preset unit is used to set the target values ​​of image parameters and the accuracy of image parameter errors for each image region. The calculation unit is used to calculate the current values ​​of image parameters for each image region; The judgment unit is used to determine whether the difference between the current value of the image parameter and the target value of the image parameter is greater than the image parameter error precision; The backlight driving module is used to prevent backlight adjustment of the backlight area corresponding to the image area when the difference between the current value of the image parameter and the target value of the image parameter is less than or equal to the image parameter error accuracy. It is also used when the difference between the current value and the target value of the image parameters is greater than the image parameter error. When the image area is of high precision, backlight correction is performed on the backlight area corresponding to that image area.

10. An electronic device, characterized in that, It includes a memory and a processor; the memory stores computer-executable instructions, and the processor invokes the computer-executable instructions to perform the backlight adjustment method as described in any one of claims 1-8.

11. A storage medium, characterized in that, The storage medium stores computer-executable instructions, which, when executed, implement the backlight adjustment method as described in any one of claims 1-8.

12. A computer program product, characterized in that, It includes computer-executable instructions, which, when executed, implement the backlight adjustment method as described in any one of claims 1-8.

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