WO2023207275A1 - Procédé et appareil de commande d'affichage, dispositif d'affichage, dispositif électronique et support - Google Patents

Procédé et appareil de commande d'affichage, dispositif d'affichage, dispositif électronique et support Download PDF

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Publication number
WO2023207275A1
WO2023207275A1 PCT/CN2023/077076 CN2023077076W WO2023207275A1 WO 2023207275 A1 WO2023207275 A1 WO 2023207275A1 CN 2023077076 W CN2023077076 W CN 2023077076W WO 2023207275 A1 WO2023207275 A1 WO 2023207275A1
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WIPO (PCT)
Prior art keywords
backlight
partition
value
pixel
brightness
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PCT/CN2023/077076
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English (en)
Chinese (zh)
Inventor
马希通
李涛
张书国
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京东方科技集团股份有限公司
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Publication of WO2023207275A1 publication Critical patent/WO2023207275A1/fr

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Classifications

    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
    • G09G3/20—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters
    • G09G3/34—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters by control of light from an independent source
    • G09G3/3406—Control of illumination source
    • G09G3/342—Control of illumination source using several illumination sources separately controlled corresponding to different display panel areas, e.g. along one dimension such as lines
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2310/00—Command of the display device
    • G09G2310/02—Addressing, scanning or driving the display screen or processing steps related thereto
    • G09G2310/0264—Details of driving circuits
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2320/00—Control of display operating conditions
    • G09G2320/06—Adjustment of display parameters
    • G09G2320/0626—Adjustment of display parameters for control of overall brightness
    • G09G2320/0646—Modulation of illumination source brightness and image signal correlated to each other
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2360/00—Aspects of the architecture of display systems
    • G09G2360/16—Calculation or use of calculated indices related to luminance levels in display data

Definitions

  • the present disclosure belongs to the field of display technology, and specifically relates to a display control method, a display control device, a display device, an electronic device, and a computer-readable medium.
  • LED display products have been widely used in many commercial fields of ultra-large screen high-definition display, such as monitoring and command, high-definition studio, high-end cinema, medical diagnosis, advertising display, conference and exhibition, and office display , virtual reality, etc., achieving better display effects.
  • embodiments of the present disclosure provide a display control method, including:
  • the brightness and darkness feature value represents the brightness and darkness degree of the target image
  • partition features are extracted from the pixels of the target image, and the partition features are determined based on the partition feature extraction results and the brightness and darkness feature values.
  • the first pixel data of each pixel point of the target image is compensated respectively, and the compensated second pixel data is obtained for the display component of the display device
  • the target image is displayed based on the second pixel data.
  • the step of obtaining the feature value of the brightness and darkness of the target image includes:
  • the step of determining the feature value of the brightness and darkness of the target image based on the first pixel data of each pixel in the target image includes:
  • the brightness and darkness feature values of the target image are determined according to the grayscale histogram.
  • the step of determining the brightness and darkness feature values of the target image based on the grayscale histogram includes:
  • the determined N is used as the feature value of the brightness and darkness degree
  • N is an integer and 0 ⁇ N ⁇ i max
  • i max represents the preset maximum pixel gray level
  • t i represents the number of pixels with a pixel gray level of i recorded in the grayscale histogram
  • T represents the above
  • S represents the preset proportion threshold, 0.5 ⁇ S ⁇ 1.
  • the step of extracting partition features from the pixels of the target image based on the pixel gray levels of the pixels corresponding to the multiple backlight partitions of the backlight component of the display device includes:
  • the backlight partitions For any of the backlight partitions, according to the pixel gray level of each pixel point in the backlight partition of the target image, determine the first characteristic representative value and the pixel gray level of the pixel point in each backlight partition. A second feature representative value is used as the partition feature extraction result, wherein the first feature representative value is smaller than the second feature representative value.
  • the first characteristic representative value of the pixel gray level of the pixels in the backlight partition is the average value of the pixel gray levels of the pixels in the backlight partition
  • the second characteristic representative value of the pixel gray level of the pixel point in the backlight partition is the maximum value of the pixel gray level of the pixel point in the backlight partition.
  • the step of determining the first backlight feature values of the multiple backlight partitions based on the partition feature extraction results and the brightness and darkness feature values includes:
  • a weighting coefficient is determined according to the feature value of the brightness and darkness degree, and the weighting coefficient is negatively correlated with the feature value of the brightness and darkness degree;
  • BL 1 (1-P) ⁇ BLR 1 +P ⁇ BLR 2
  • BL 1 is the first backlight characteristic value of the backlight partition
  • P is the weighting coefficient
  • BLR 1 is the first characteristic representative value of the pixel gray level of all pixels in the backlight partition
  • BLR 2 is the backlight The second characteristic representative value of the pixel gray level of all pixels in the partition.
  • the weighting coefficient P determined based on the brightness feature value is:
  • i max represents the maximum pixel gray level
  • F 0 represents the characteristic value of the brightness and darkness, 0 ⁇ F 0 ⁇ i max ;
  • the step of determining the first backlight characteristic value of each backlight partition according to the partition feature extraction result and the brightness feature value and according to the first backlight characteristics of the plurality of backlight partitions.
  • the step of determining the backlight drive value of each backlight partition and the step of separately compensating the first pixel data of each pixel point of the target image according to the first backlight characteristic values of the plurality of backlight partitions Also includes:
  • the first backlight characteristic values of the plurality of backlight partitions are filtered to obtain updated first backlight characteristic values of each of the plurality of backlight partitions.
  • the step of filtering the first backlight characteristic values of the plurality of backlight partitions to obtain the updated first backlight characteristic values of each of the backlight partitions includes:
  • the backlight For any backlight partition, according to the first backlight characteristic value of the backlight partition, the backlight The first backlight characteristic value of the adjacent partition of the light partition and the predetermined filter coefficient determine the updated first backlight characteristic value of the backlight partition;
  • the adjacent partitions include backlight partitions whose partition distance from the backlight partition is less than or equal to a partition distance threshold.
  • the updated first backlight of the backlight partition is determined based on the first backlight characteristic value of the backlight partition, the first backlight characteristic value of an adjacent partition of the backlight partition, and a predetermined filter coefficient.
  • the eigenvalue step also include:
  • the filter coefficient is determined according to the feature value of the brightness and darkness degree, and the filter coefficient is positively correlated with the feature value of the brightness and darkness degree.
  • the filter coefficient Q determined according to the brightness feature value is:
  • i max represents the preset maximum pixel gray level
  • F 0 represents the feature value of the brightness and darkness
  • 0 ⁇ F 0 ⁇ i max 0 ⁇ F 0 ⁇ i max .
  • the updated first backlight characteristic of the backlight partition is determined according to the first backlight characteristic value of the backlight partition, the first backlight characteristic value of an adjacent partition of the backlight partition, and a predetermined filter coefficient. Values, including:
  • the maximum value among the first backlight characteristic value of the backlight partition and the second backlight characteristic value of each adjacent partition is determined as the updated first backlight characteristic value of the backlight partition.
  • the step of determining the backlight driving value of each backlight partition according to the first backlight characteristic value of the plurality of backlight partitions includes:
  • B drive represents the backlight drive value of the backlight partition
  • BL 2 represents the first backlight characteristic value of the backlight partition
  • W represents the drive adjustment coefficient
  • i max represents the preset maximum pixel gray level
  • I max represents the preset Set the maximum backlight gray level.
  • the method before the step of determining the backlight drive value of the backlight partition according to the first backlight characteristic value of the backlight partition and the predetermined drive adjustment coefficient, the method further includes:
  • a driving adjustment coefficient W is determined according to the brightness and darkness characteristic value, and the driving adjustment coefficient W is positively correlated with the brightness and darkness characteristic value.
  • the driving adjustment coefficient W determined according to the brightness characteristic value is:
  • F 0 represents the feature value of the brightness and darkness degree
  • i max represents the preset maximum pixel gray level
  • m is the preset constant coefficient and m ⁇ 2.
  • m takes a value of 5.
  • the backlight assembly includes a driving component and backlight lamps of the plurality of backlight partitions, and the method further includes:
  • the backlight driving values of the plurality of backlight partitions and the second pixel data of each pixel point are respectively input into the driving component and the display component at the same time.
  • the step of separately compensating the first pixel data of each pixel point of the target image according to the first backlight characteristic values of the plurality of backlight partitions to obtain the compensated second pixel data include:
  • the backlight For any backlight partition, according to the first backlight characteristic value of the backlight partition, the backlight The first backlight characteristic value of the diffusion partition of the light partition and the diffusion factor of the diffusion partition of the backlight partition determine the backlight diffusion characteristic value of the backlight partition; wherein the diffusion partition includes a partition between the diffusion partition and the backlight partition Backlight partitions whose distance is less than or equal to the diffusion distance threshold;
  • a preset interpolation algorithm is used to obtain the pixel backlight characteristic value of each pixel point of the target image
  • the pixel gray level of each sub-pixel in the first pixel data of each pixel point is compensated respectively to obtain the second pixel data of the pixel point.
  • an embodiment of the present disclosure provides a display control device, including:
  • the brightness and darkness degree acquisition module is used to acquire the brightness and darkness degree characteristic value of the target image, and the brightness and darkness degree characteristic value represents the brightness and darkness degree of the target image;
  • the backlight feature determination module is used to extract the partition features of the pixels of the target image according to the pixel gray levels corresponding to the plurality of backlight partitions of the backlight component of the display device, and extract the partition features according to the partition feature extraction results and the The brightness and darkness feature values determine the first backlight feature values of the plurality of backlight partitions;
  • a driving value determination module configured to determine the backlight driving value of each backlight partition according to the first backlight characteristic value of the plurality of backlight partitions, so that the backlight assembly can emit an image corresponding to the target based on the backlight driving value.
  • a compensation module configured to respectively compensate the first pixel data of each pixel point of the target image according to the first backlight characteristic values of the plurality of backlight partitions, and obtain the compensated second pixel data for the said A display component of the display device displays the target image based on the second pixel data.
  • an embodiment of the present disclosure provides a display device, including: a backlight component, a display component, and a display control device.
  • the display control device is respectively connected to the backlight component.
  • the display component, the display control device adopts the display control device provided in the second aspect;
  • the backlight assembly includes a driving component and a plurality of backlight partitions, the driving component is used to drive the plurality of backlight partitions to emit backlight according to the backlight driving values of the plurality of backlight partitions;
  • the display component is used to display according to the input second pixel data.
  • embodiments of the present disclosure provide an electronic device, including: one or more processors; a memory for storing one or more programs; when the one or more programs are processed by the one or more The processor is executed, so that the one or more processors implement the above display control method.
  • the processor includes a field programmable gate array FPGA.
  • embodiments of the present disclosure provide a computer-readable medium on which a computer program is stored, wherein the computer program implements the steps in the above display control method when executed by a processor.
  • Figure 1a is a flow chart of a display control method provided by an embodiment of the present disclosure
  • Figure 1b is a flow chart of another display control method provided by an embodiment of the present disclosure.
  • Figure 2 is a flow chart of an optional implementation method of step S10 in an embodiment of the present disclosure
  • FIG. 3 is a flow chart of an optional implementation method of step S11 in the embodiment of the present disclosure.
  • FIGS. 4a and 4b are schematic diagrams of backlight partitions and characteristic values according to embodiments of the present disclosure.
  • FIG. 5 is a flow chart of an optional implementation method of step S1a in the embodiment of the present disclosure.
  • Figure 6a is a flow chart of an optional implementation method of step S1a2 in an embodiment of the present disclosure
  • Figure 6b is a flow chart of another optional implementation method of step S1a2 in the embodiment of the present disclosure.
  • Figure 7 is a flow chart of an optional implementation method of step S12 in the embodiment of the present disclosure.
  • Figure 8 is a flow chart of an optional implementation method of step S13 in the embodiment of the present disclosure.
  • Figure 9a is a schematic diagram of a backlight partition and its corresponding diffusion partitions in an embodiment of the present disclosure
  • Figure 9b is a schematic diagram of the diffusion factors of the backlight partitions and their corresponding diffusion partitions shown in Figure 9a;
  • Figure 10 is a schematic diagram of the backlight partition located at the edge and its corresponding diffusion partition in an embodiment of the present disclosure
  • Figure 11 is a flow chart of another optional implementation method of step S13 in the embodiment of the present disclosure.
  • Figure 12 is a schematic diagram of extending the backlight partition to obtain a virtual partition in an embodiment of the present disclosure
  • Figure 13 is a schematic diagram of the frame of the backlight assembly in an embodiment of the present disclosure.
  • Figure 14 is a flow chart of an optional implementation method of step S132 in the embodiment of the present disclosure.
  • Figure 15 is a schematic diagram of selecting a target area from four adjacent backlight partitions in an embodiment of the present disclosure
  • Figure 16 is a flow chart of an optional implementation method of step S133 in an embodiment of the present disclosure.
  • Figure 17 is a flow chart of another display control method provided by an embodiment of the present disclosure.
  • Figure 18 is a structural block diagram of a display control device provided by an embodiment of the present disclosure.
  • Figure 19 is a structural block diagram of another display control device provided by an embodiment of the present disclosure.
  • Figure 20 is a structural block diagram of a display device provided by an embodiment of the present disclosure.
  • Figure 21 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure.
  • Mini_LED display technology refers to the technology that uses LED devices with chip sizes between 50 and 200 ⁇ m for display.
  • LED display systems have certain defects.
  • the contrast of the liquid crystal display cannot meet the requirements of consumers; on the other hand, as the size of the liquid crystal display system continues to increase As the size increases, the power consumption problem becomes more and more obvious.
  • regional dynamic backlight control can be used to dynamically adjust the backlight brightness of the LED display system.
  • regional dynamic backlight control is implemented based on the pixel display principle of the liquid crystal display.
  • LCD display pixels use the electro-optical effect of liquid crystal to control the opening of liquid crystal molecules to change the light flux output by each pixel.
  • backlights of different intensities to display the same image, in theory, as long as the output luminous flux of each pixel remains unchanged, the displayed image can be guaranteed to remain unchanged.
  • the general formula for this principle is as follows:
  • BL 0 is the backlight brightness value of the pixel before dimming
  • g is the pixel gray level of the pixel before dimming (that is, the R/G/B sub-pixel contained in the pixel).
  • the maximum value of the pixel gray level is the backlight brightness value of the pixel after dimming
  • ⁇ is a fixed power exponent, determined according to the display device itself. It can be seen from formula (1) that if the backlight brightness value If it decreases, the brightness of the final display screen (that is, the output luminous flux) will also change. In order to reduce the backlight while ensuring that the brightness of the emergent light remains unchanged, the value to increase the transmittance of the emitted light.
  • the regional backlight of the display device can be controlled according to the image through regional dynamic backlight control, and the image can be compensated according to the regional backlight, thereby dynamically adjusting the backlight brightness and brightness of each display area.
  • the image pixel value can improve the display quality and contrast of the image and reduce the power consumption of the display device.
  • FIG. 1a is a flow chart of a display control method provided by an embodiment of the present disclosure.
  • the display control method can be applied to a display control device, which can be implemented in software and/or hardware, and can generally be integrated into an electronic device (such as a display device).
  • the display control method includes:
  • Step S10 Obtain the brightness and darkness feature values of the target image.
  • the brightness and darkness feature values are used to characterize the brightness and darkness of the target image.
  • Step S11 According to the pixel gray levels of the pixels corresponding to the multiple backlight partitions of the backlight component of the display device, perform partition feature extraction on the pixel points of the target image, and determine multiple partition features based on the partition feature extraction results and the brightness and darkness feature values.
  • the first backlight characteristic value of the backlight partition According to the pixel gray levels of the pixels corresponding to the multiple backlight partitions of the backlight component of the display device, perform partition feature extraction on the pixel points of the target image, and determine multiple partition features based on the partition feature extraction results and the brightness and darkness feature values.
  • Step S12 Determine the backlight drive value of each backlight partition according to the first backlight characteristic values of the plurality of backlight partitions, so that the backlight assembly emits backlight corresponding to the target image based on the backlight drive value.
  • Step S13 Compensate the first pixel data of each pixel point of the target image respectively according to the first backlight characteristic values of the plurality of backlight partitions, and obtain the compensated second pixel data for the display component of the display device based on the second pixel data. Pixel data displays the target image.
  • the display device can be various types of LED display devices, such as Mini-LED display devices.
  • the display device includes a backlight component (for example, including an LED driving component and a backlight panel, and the backlight panel is divided into multiple backlight partitions) and a display component (for example, LCD panel).
  • the display control device executing the display control method can be connected to the backlight assembly and the display respectively.
  • the display component causes the backlight component to emit backlight according to the backlight driving value input by the display control device, and causes the display component to display an image according to the pixel value input by the display control device.
  • This disclosure does not limit the specific type of display device.
  • the backlight assembly may include multiple backlight partitions, and the backlight partitions may be arranged in an M*N array (M and N are integers greater than 1).
  • M and N are integers greater than 1.
  • M and N are integers greater than 1.
  • Each backlight partition can have a preset number of Mini_LED lights, such as 4, 16, etc.
  • each backlight partition can correspond to a certain number of pixels of the display component, such as 40*40 pixels.
  • the present disclosure places no restrictions on the number and arrangement of backlight partitions, the preset number of LEDs in each backlight partition, and the number of pixels corresponding to each backlight partition.
  • the brightness feature value of the target image may be determined based on the first pixel data (ie, original pixel data) of all pixels in the target image.
  • the first pixel data of the pixel specifically includes the sub-pixel gray level of each sub-pixel contained in the pixel; the brightness and darkness feature value can represent the brightness and darkness of the target image, and the brightness and darkness can be adjusted according to actual needs.
  • the value range of the degree feature value is preset; for example, the brightness feature value is an integer and can take a value from 0 to 1023; among them, the larger the brightness feature value, the brighter the overall brightness of the target image. The smaller the brightness feature value, the darker the overall brightness of the target image.
  • partition feature extraction can be performed on the pixels of the target image according to the pixel gray levels of the pixels corresponding to the multiple backlight partitions of the backlight component of the display device, to obtain the partition feature extraction results;
  • the partition feature extraction results can be used to describe the brightness and darkness of each backlight partition. Specific features can be preset according to actual needs, and then in step S11, for any backlight partition, the pixels corresponding to the backlight partition can be determined from all pixels (for example, 40*40 pixels), and Feature extraction is performed on the pixel gray level of the pixel corresponding to the backlight partition. Each backlight partition is processed separately to obtain the partition feature extraction results.
  • feature extraction can be performed on the target image based on the pixel gray level of each pixel in the backlight partition to obtain the third pixel gray level of the pixel in the backlight partition.
  • a characteristic representative value and a second characteristic representative value are used as the partition feature extraction result, wherein the first characteristic representative value is smaller than the second characteristic representative value.
  • both the first characteristic representative value and the second characteristic representative value can be used to characterize the pixel gray level characteristics of the pixels in the backlight partition.
  • the first characteristic representative value of the pixel gray level of the pixels in the backlight partition is the average value of the pixel gray levels of the pixels in the backlight partition.
  • the second characteristic representative value of the pixel gray level of the pixel in the backlight partition is the maximum value of the pixel gray level of the pixel in the backlight partition. That is, the partition feature extraction method can be to obtain the average value and the maximum value of the gray level to obtain the feature extraction result of the backlight partition.
  • the above-mentioned first characteristic representative value and second characteristic representative value can also be other characteristics.
  • the first characteristic representative value is the first characteristic representative value of the pixel gray level of the pixel in the backlight partition.
  • the minimum value of , the representative value of the second characteristic is the gray level of the pixel with the highest frequency in the backlight partition. No more examples here.
  • each backlight partition can also be extracted based on other methods.
  • the backlight partition can also be extracted through a neural network (for example, including a convolution layer, a pooling layer, a fully connected layer, etc.).
  • the gray level of the pixel corresponding to the partition is processed to obtain the feature extraction result of the backlight partition.
  • This disclosure does not limit the specific method of partition feature extraction.
  • the first backlight feature value of each backlight partition is determined according to the partition feature extraction result and the brightness feature value.
  • the brightness level feature value can represent the brightness level of the target image. That is to say, when generating the first backlight feature value of each backlight partition, not only the brightness factor of each backlight partition is taken into consideration, The overall brightness and darkness of the target image are also taken into consideration, which is beneficial to ensuring the dark details in the target image; the specific principles will be described in detail later with specific examples.
  • the first backlight characteristic value of each backlight partition can be mapped to the corresponding backlight driver based on a preset mapping method.
  • a preset mapping method For example, the backlight drive value corresponding to the first backlight characteristic value is queried based on a mapping lookup table (Look Up Table), where different first backlight characteristic values and each first backlight are prestored in the mapping lookup table.
  • the backlight drive value corresponding to the feature value; for another example, the first backlight feature value can be mapped to the corresponding backlight drive value based on a pre-designed mapping algorithm.
  • the backlight driving value obtained through step S12 can be input to the driving component (such as a driving chip) of the backlight assembly, so that the LED lamps of each backlight partition of the backlight panel emit backlight corresponding to the target image. In this way, the backlight processing process is completed.
  • the driving component such as a driving chip
  • the compensation factors of the pixels in the target image can be determined based on the first backlight feature values of each backlight partition, and then a preset compensation algorithm, such as a linear compensation algorithm, is used based on the compensation factors. Or a nonlinear compensation algorithm is used to separately compensate the first pixel data of each pixel point in the target image to obtain the compensated second pixel data.
  • the second pixel data of each pixel obtained through step S13 can be input to the display component, so that the display component displays the target image.
  • the first backlight feature value of each backlight partition is generated based on the brightness and darkness feature value and the partition feature extraction result obtained by performing partition feature extraction on the backlight partition, and thereafter
  • the backlight drive value of each backlight partition is determined based on the first backlight characteristic value, and the first pixel data of each pixel is compensated based on the first backlight characteristic value to obtain the second pixel data; in the subsequent display process, the backlight component is based on The backlight drive value of each backlight partition provides corresponding backlight, and the display component displays based on the second pixel data of each pixel, which can effectively improve the display quality and contrast of the image and reduce the power consumption of the display device.
  • the overall brightness and darkness of the target image are taken into account in the generation process of the second backlight eigenvalue and the first backlight eigenvalue, dark details in the target image can be effectively guaranteed.
  • step S12 is executed after step S13 shown in Figure 1
  • the technical solution of the present disclosure does not limit the execution order of step S12 and step S13. That is to say, step S12 can also be executed synchronously with step S13, or step S12 can be executed after step S13.
  • Figure 1b is a flow chart of another display control method provided by an embodiment of the present disclosure. As shown in Figure 1b, different from the previous embodiment, in this embodiment of the present disclosure, after step S11 and before step S12 and step S13, it also includes: step S1a; only step S1a will be described in detail below.
  • Step S1a Filter the first backlight characteristic values of the plurality of backlight partitions to obtain the updated first backlight characteristic values of each backlight partition.
  • the obtained first backlight characteristic values of each backlight partition may be of different sizes, or even have very different first backlight characteristic values of adjacent backlight partitions, which affects the final display effect.
  • filtering processing can be performed to smooth the changes in brightness and darkness between different backlight partitions, which is beneficial to improving the display effect of the image.
  • the first backlight characteristic values of multiple backlight partitions may be filtered to obtain updated first backlight characteristic values of each backlight partition.
  • the neighboring partitions of the backlight partition that is, the partition distance between the backlight partition and the backlight partition is less than or equal to the preset partition distance threshold p (p is greater than or equal to 1 Integer) backlight partition.
  • the partition distance can be defined as the number of partitions spaced between backlight partitions + 1, that is, the partition distance between adjacent backlight partitions is 1.
  • the partition distance threshold p can be set to 1, for example, that is, the 8 backlight partitions around the backlight partition are regarded as adjacent partitions, plus the backlight partition itself, a total of 9 backlight partitions of 3*3; the partition distance threshold p can be For example, set to 2, that is, the 24 backlight partitions around the backlight partition are regarded as adjacent partitions, plus the backlight partition itself, for a total of 25 backlight partitions of 5*5.
  • This disclosure does not limit the specific value of the partition distance threshold.
  • FIGS. 4a and 4b are schematic diagrams of backlight partitions and characteristic values according to embodiments of the present disclosure.
  • Figure 4b a, b, c, d, e, f, g, h, i are respectively the first backlight characteristic values of each backlight partition.
  • the filtering method may be: multiply the first backlight characteristic value of the adjacent partition by a preset filter coefficient to obtain the adjusted backlight characteristic value (called the second backlight characteristic value); and then obtain the adjusted backlight characteristic value from each adjacent partition.
  • the maximum value of the second backlight characteristic value of the partition and the first backlight characteristic value of the backlight partition is selected as the filtered backlight characteristic value of the backlight partition (called the first backlight characteristic value).
  • the filtering method may also be: calculating the average value of the second backlight characteristic value of each adjacent partition and the first backlight characteristic value of the backlight partition as the filtered first backlight characteristic value of the backlight partition.
  • the backlight partition located at the edge of the display device that is, the distance between the backlight partition and the edge of the display device is less than the partition distance threshold p
  • the characteristic value of the expanded partitions can be set to 0 or backlight partition 2, The mirror image of the eigenvalues of 4 and 5 (symmetrical with backlight partition 1 as the center).
  • FIG 2 is a flow chart of an optional implementation method of step S10 in the embodiment of the present disclosure. As shown in Figure 2, in some embodiments, step S10 in Figures 1a and 1b includes:
  • Step S101 Generate a grayscale histogram of the target image based on the pixel gray level of each sub-pixel included in the first pixel data of each pixel point in the target image.
  • the grayscale histogram is used to record the number of pixels of each pixel gray level in the target image.
  • the process of generating a grayscale histogram is as follows: first, determine the pixel grayscale of each pixel; where the pixel grayscale of a pixel can be determined by the subpixel grayscale of the subpixels contained in the pixel, such as pixel
  • the pixel gray level of a point is equal to the maximum value of the sub-pixel gray levels of all sub-pixels contained in the pixel (generally including three sub-pixels of R/G/B).
  • the number of pixel points under the degree level (for example, the pixel gray level can range from 0 to 1023, a total of 1024 different pixel gray levels) is counted to obtain the gray level histogram of the target image.
  • Step S102 Determine the brightness feature value of the target image based on the grayscale histogram.
  • step S102 specifically includes: according to the number of pixel points of each pixel gray level recorded in the grayscale histogram, determine the number of pixels that satisfy The minimum N value is taken, and the determined N is used as the brightness feature value.
  • N is an integer and 0 ⁇ N ⁇ i max
  • i max represents the preset maximum pixel gray level
  • t i represents the number of pixels with a pixel gray level of i recorded in the grayscale histogram
  • T represents the above
  • S represents the preset proportion threshold, 0.5 ⁇ S ⁇ 1, for example, the value of S is 0.8.
  • the brightness and darkness feature value F 0 obtained through the above steps must also satisfy 0 ⁇ F 0 ⁇ i max .
  • the above judgment conditions The essence is to perform a cumulative distribution operation on the pixel gray level. Based on the cumulative distribution operation process, the N value is determined as the brightness and darkness feature value, so that the brightness and darkness feature value can reflect the pixels in the target image to a certain extent. The frequency distribution of pixel gray levels can more accurately reflect the brightness and darkness of the target image.
  • the brightness and darkness feature values can also be determined based on the grayscale histogram and other algorithms (for example, selecting the pixel gray level with the largest frequency as the brightness and darkness feature value, or selecting the pixel gray level with the largest frequency)
  • the first j pixel gray levels are averaged and the average value is used as the brightness feature value). It only needs to ensure that the obtained brightness feature value can be used to characterize the overall brightness of the target image.
  • FIG 3 is a flow chart of an optional implementation method of step S11 in the embodiment of the present disclosure. As shown in Figure 3, in some embodiments, step S11 in Figures 1a and 1b may include:
  • Step S111 For any backlight partition, according to each image of the target image in the backlight partition For the pixel gray level of the pixel point, the first characteristic representative value and the second characteristic representative value of the pixel gray level of the pixel point in each of the backlight partitions are determined as the partition feature extraction result.
  • the first characteristic representative value is smaller than the second characteristic representative value.
  • Step S112 Determine the weighting coefficient according to the feature value of the brightness and darkness degree.
  • the weighting coefficient P satisfies: 0 ⁇ P ⁇ 1.
  • the weighting coefficient P is negatively correlated with the brightness and darkness feature values. That is to say, the larger the brightness and darkness feature value is, the smaller the weighting coefficient P is. The specific principle will be described in detail later.
  • the weighting coefficient P is:
  • i max represents the preset maximum pixel gray level (for example, when the pixel gray level ranges from 0 to 1023, the maximum pixel gray level is 1023), and F 0 represents the Characteristic value of lightness and darkness, 0 ⁇ F 0 ⁇ i max .
  • Step S113 For any backlight partition, determine the first backlight characteristic value of the backlight partition based on the weighting coefficient and the first characteristic representative value and the second characteristic representative value of the pixel gray level of the pixel point in the backlight partition.
  • BL 1 (1-P) ⁇ BLR 1 +P ⁇ BLR 2 (3)
  • BL 1 is the first backlight characteristic value of the backlight partition
  • BLR 1 is the first characteristic representative value of the pixel gray level of all pixels in the backlight partition
  • BLR 2 is the first characteristic value of the pixel gray level in the backlight partition. The second characteristic representative value of the pixel gray level of all pixels.
  • the first characteristic representative value of the pixel gray level of the pixel point in the backlight partition is the average value of the pixel gray level of the pixel point in the backlight partition; the first characteristic representative value of the pixel gray level of the pixel point in the backlight partition The second characteristic representative value is the maximum value of the pixel gray level of the pixel in the backlight partition.
  • the above-mentioned processing is performed on all the backlight partitions of the backlight assembly, and the first backlight characteristic value of each backlight partition can be obtained.
  • the partition feature extraction if only the maximum value of the pixel gray level of all pixels in the backlight partition is used as the first backlight feature value of the backlight partition, the image details can be greatly preserved, but it will cause The image brightness in the dark field area cannot be effectively controlled, the contrast is insufficiently improved, and the power consumption reduction is limited. If only the average pixel gray level of all pixels in the backlight partition is used as the first backlight feature value of the backlight partition, the backlight can be reduced to a greater extent to reduce power consumption. However, for areas with high contrast, the backlight The degree of reduction exceeds what pixel compensation can achieve, resulting in the image not being properly restored and making it difficult to produce a correct display effect.
  • the above problems can be effectively improved by performing a weighted sum of the maximum and average pixel gray levels of all pixels in the backlight partition, and using the weighted summation result as the first backlight feature value of the backlight partition.
  • the weight coefficient assigned to the maximum value of the pixel gray level of all pixels in the backlight partition and the average pixel gray level of all pixels in the backlight partition is also related to the brightness feature value; specifically, , the darker the brightness of the target image, the smaller the brightness feature value, and the greater the weight coefficient (i.e.
  • the average of the pixel gray levels of all pixels within the pixel can reduce power consumption.
  • the advantages of using the maximum value and average value can be retained to a certain extent, that is, the image details can be preserved and the reduction of backlight to reduce power consumption; at the same time, to a certain extent, it makes up for the shortcomings of the two aforementioned algorithms that only rely on maximum or average values for calculation, that is, it can improve the contrast and appropriately reduce the backlight so that the image can be restored through pixel compensation later. , thereby improving the display quality of the image.
  • FIG. 5 is a flow chart of an optional implementation method of step S1a in an embodiment of the present disclosure. As shown in Figure 5, in some embodiments, step S1a in Figure 1b may include:
  • Step S1a1 Determine the filter coefficient according to the feature value of the brightness and darkness.
  • the filter coefficient Q satisfies: 0 ⁇ Q ⁇ 1.
  • the filter coefficient Q is positively correlated with the brightness feature value. That is to say, the larger the brightness and darkness feature value is, the larger the filter coefficient Q is. The specific principle will be described in detail later.
  • Q represents the filter coefficient
  • i max represents the preset maximum pixel gray level
  • F 0 represents the brightness and darkness feature value
  • 0 ⁇ F 0 ⁇ i max the filter coefficient Q calculated in step S1a1 satisfies 0 ⁇ Q ⁇ 1, and the larger the brightness and darkness feature value is, the larger the filter coefficient Q is. That is to say, the brighter the overall brightness of the target image, the larger the filter coefficient Q; the darker the overall brightness of the target image, the smaller the filter coefficient Q.
  • the brighter the overall brightness of the target image the greater the feature value of brightness and darkness
  • the filter coefficient is set to be larger, and the brightness of the dark area is improved after filtering. The larger it is, the greater the boundary gradient changes.
  • the darker the overall brightness of the target image the smaller the brightness feature value
  • the smaller the filter factor is set, the smaller the brightness increase in the dark area after filtering, and the boundary gradient changes. The smaller.
  • Step S1a2 For any backlight partition, according to the first backlight characteristic value of the backlight partition, The first backlight characteristic value of the adjacent partition of the backlight partition and the predetermined filter coefficient determine the updated first backlight characteristic value of the backlight partition.
  • the neighboring partitions include backlight partitions whose partition distance from the backlight partition is less than or equal to the partition distance threshold.
  • step S1a2 for any backlight partition of the backlight assembly, adjacent partitions of the backlight partition can be determined, that is, the backlight partition whose partition distance from the backlight partition is less than or equal to the preset partition distance threshold p, where p is An integer greater than or equal to 1.
  • the partition distance can be defined as the number of partitions spaced between backlight partitions + 1, and the partition distance between adjacent backlight partitions is 1.
  • the partition distance threshold p can be set to 1, for example, that is, the 8 backlight partitions around the backlight partition are regarded as adjacent partitions, plus the backlight partition itself, a total of 9 backlight partitions of 3*3; the partition distance threshold p can be For example, set to 2, that is, the 24 backlight partitions around the backlight partition are regarded as adjacent partitions, plus the backlight partition itself, for a total of 25 backlight partitions of 5*5.
  • This disclosure does not limit the specific value of the partition distance threshold.
  • the backlight partition and its adjacent partitions may be filtered, that is, (2p+1)*(2p+1) backlight partitions centered on the backlight partition may be filtered.
  • step S1a2 may include:
  • Step S1a21a Determine the second backlight characteristic value of the adjacent partition based on the first backlight characteristic value and the filter coefficient of the adjacent partition.
  • Step S1a22a Determine the maximum value among the first backlight characteristic value of the backlight partition and the second backlight characteristic value of each adjacent partition as the updated first backlight characteristic value of the backlight partition.
  • the first backlight characteristic value of each adjacent partition of the backlight partition can be multiplied by the filter coefficient Q to obtain the second backlight characteristic value of each adjacent partition of the backlight partition. Then, the maximum value is selected from the second backlight characteristic value of each adjacent partition and the first backlight characteristic value of the backlight partition as the filtered first backlight characteristic value of the backlight partition (i.e., the updated first backlight characteristic value) .
  • determine the first backlight characteristic value of the backlight partition numbered 5 in Figure 4a with The volume process is as follows: first, multiply the first backlight feature values a, b, c, d, f, g, h, i in Figure 4b by the filter coefficient Q respectively to obtain the second backlight feature value a*Q, b *Q, c*Q, d*Q, f*Q, g*Q, h*Q, i*Q; then, select a*Q, b*Q, c*Q, d*Q, e, f* The maximum value among Q, g*Q, h*Q, and i*Q is used as the updated first backlight characteristic value of the backlight partition numbered 5.
  • the value range of the filter coefficient Q is [0,1]. Based on step S1a1, the filter coefficient Q can be dynamically adjusted according to the overall brightness and darkness of the target image. The dynamic adjustment of the filter coefficient Q is achieved through the previous step S1a1, which is beneficial to ensuring the simultaneous contrast of the target image.
  • step S1a may not include the aforementioned step S1a1, and the filter coefficient Q is a preset fixed value, for example, the value of Q is 0.6 or 0.7. Both of the above methods should fall within the protection scope of the present disclosure.
  • FIG. 6b is a flow chart of another optional implementation method of steps S114S1a22 in the embodiment of the present disclosure. As shown in Figure 6b, in some embodiments, step S1422S1a2 may include:
  • Step S1a21b Select a neighboring partition with the largest first backlight characteristic value from the neighboring partitions as the target neighboring partition, and determine the second backlight characteristic value of the target neighboring partition according to the first backlight characteristic value and filter coefficient of the target neighboring partition.
  • Step S1a22b Determine the larger value of the first backlight characteristic value of the backlight partition and the second backlight characteristic value of the target adjacent partition as the updated first backlight characteristic value of the backlight partition.
  • the specific process is as follows: First, from the first backlight feature values a, b, c, d, f in Figure 4b, Determine a maximum value among g, h, and i. Assuming that f is the maximum value, it indicates that the backlight partition numbered 6 is used as the target adjacent partition; then, the first backlight eigenvalue of the backlight partition numbered 6 is multiplied by the filter coefficient Q , obtain the second backlight feature value f*Q of the target adjacent partition; then, select the larger value of e and f*Q as the updated first backlight feature value of the backlight partition numbered 5.
  • the updated first backlight characteristic value of the backlight partition obtained through steps S1a21a to step S1a22a is different from the updated first backlight characteristic value obtained through steps S1a21b to step S1a22b.
  • the first backlight characteristic value after the backlight partition is updated is the same.
  • filtering is generally performed based on the maximum value filtering or the minimum value of the backlight eigenvalues of adjacent partitions.
  • the maximum value filtering based on the backlight eigenvalues of adjacent partitions can ensure the brightness details of the image but the contrast is poor.
  • the minimum value filtering of the partitioned backlight eigenvalues can ensure the contrast of the image but the brightness details are poor.
  • the filter coefficient Q is introduced in the present disclosure, and the first backlight characteristic value of the backlight partition and the maximum second backlight characteristic value of the adjacent partition (the first backlight characteristic value of the adjacent partition are multiplied by the filter coefficient Q ) is compared, and filtering is performed based on the comparison results, which can effectively balance the brightness details and contrast of the image.
  • the filter coefficient Q can follow the change of the brightness and darkness feature values, the dynamic balance adjustment of the brightness details and contrast of the meter image can be achieved.
  • the backlight assembly includes a driving component and a plurality of backlight partitioned backlights.
  • the driving component is, for example, a driving chip
  • the backlight is, for example, a Mini-LED lamp.
  • step S12 includes:
  • Step S121 Determine the drive adjustment coefficient according to the feature value of the brightness and darkness degree.
  • the drive adjustment coefficient W satisfies: 0 ⁇ W ⁇ 1.
  • the driving adjustment coefficient W is positively correlated with the brightness and darkness feature values. That is to say, the larger the brightness and darkness feature value is, the larger the drive adjustment coefficient W is. The specific principle will be described in detail later.
  • the drive adjustment coefficient W is:
  • W represents the driving adjustment coefficient
  • F 0 represents the brightness and darkness feature value
  • i max represents the preset maximum pixel gray level
  • m is the preset constant coefficient and m ⁇ 2.
  • the drive adjustment coefficient W calculated through step S121 satisfies: And the larger the brightness and darkness feature value is, the larger the drive adjustment coefficient W is. That is to say, the brighter the overall brightness of the target image is, the larger the driving adjustment coefficient W is; the darker the overall brightness of the target image is, the smaller the driving adjustment coefficient W is.
  • the brighter the overall brightness of the target image (the greater the feature value of brightness and darkness), the greater the required backlight brightness.
  • setting the drive adjustment coefficient larger can make the subsequent mapped The larger the backlight drive value.
  • the darker the overall brightness of the target image (the smaller the brightness characteristic value), the smaller the backlight brightness required.
  • setting the drive adjustment coefficient smaller can make the subsequent mapped backlight drive value smaller.
  • Step S122 For any backlight partition, determine the backlight drive value of the backlight partition according to the first backlight characteristic value of the backlight partition and the predetermined drive adjustment coefficient.
  • B drive represents the backlight drive value of the backlight partition
  • BL 2 represents the first backlight characteristic value of the backlight partition
  • W represents the drive adjustment coefficient
  • i max represents the preset maximum pixel gray level
  • I max represents The default maximum backlight gray level.
  • the essence of the first backlight characteristic value of the backlight partition is to use the pixel gray level to represent the brightness and darkness of the backlight partition, and the value ranges of the pixel gray level and the backlight gray level in the system are generally Different, as an example, the pixel gray level of the pixel is represented by 10 bits, and the backlight gray level of the backlight area is represented by 14 bits.
  • the value range of the pixel gray level is [0, 2 10 -1]
  • the value range of the backlight gray level is [0, 2 14 -1]
  • the first backlight feature value of the backlight partition needs to be mapped to the corresponding backlight drive value. At this time, it can also be regarded as converting a 10-bit data into a 14-bit data.
  • a drive adjustment coefficient is also introduced to help ensure the sequential contrast of the target image.
  • the value range of the driving adjustment coefficient W is Based on step S121, the drive adjustment coefficient W can be dynamically adjusted according to the overall brightness and darkness of the target image, and the drive adjustment coefficient W is defined to be within values between, because That is, the value of the drive adjustment coefficient W is always greater than 1/2, which can effectively avoid the problem that the backlight drive value for determining the backlight partition is too small due to the value of the drive adjustment coefficient W being too small, and the final backlight brightness is too dark.
  • step S12 may not include the aforementioned step S121, and the driving adjustment coefficient W is a preset fixed value.
  • the driving adjustment coefficient W is a preset fixed value.
  • the value of the adjustment coefficient W is generally set to be greater than or equal to 0.5; for example, the value of W is 0.9 or 0.95. Both of the above methods should fall within the protection scope of the present disclosure.
  • the backlight light emitted by adjacent partitions will affect each other during the projection and diffusion process of the liquid crystal panel in the backlight cavity, and the actual backlight distribution of each backlight partition is not equal to the first backlight characteristic value. If the influence of light diffusion is not considered and pixel compensation is performed directly based on the extracted first backlight feature value, not only will the image information not be accurately reproduced, but an obvious block effect will also occur. At the same time, light diffusion will cause crosstalk, causing the brightness of the bright area to decrease. The brightness of dark areas is enhanced, affecting the display effect.
  • the first backlight characteristic value can be used to drive the backlight assembly to emit backlight on the one hand, and on the other hand Aspects can be used to perform backlight simulations to compensate for images.
  • step S13 includes:
  • Step S131 For any backlight partition, determine the backlight diffusion characteristic value of the backlight partition based on the first backlight characteristic value of the backlight partition, the first backlight characteristic value of the diffusion partition of the backlight partition, and the diffusion factor of the diffusion partition of the backlight partition.
  • the diffusion partition includes a backlight partition whose partition distance from the backlight partition is less than or equal to a diffusion distance threshold.
  • Step S132 According to the backlight diffusion characteristic values of multiple backlight partitions, a preset interpolation algorithm is used to obtain the pixel backlight characteristic value of each pixel point of the target image.
  • Step S133 For any pixel, use nonlinear pixel compensation to determine the compensation factor of the pixel according to the pixel backlight characteristic value of the pixel.
  • Step S134 Compensate the pixel gray level of each sub-pixel in the first pixel data of each pixel point according to the compensation factor to obtain the second pixel data of the pixel point.
  • the diffusion partition of the backlight partition can be determined.
  • the diffusion partition includes a backlight partition whose partition distance from the backlight partition is less than or equal to the diffusion distance threshold q, where q is an integer greater than 1.
  • the diffusion distance threshold q can, for example, take a value of 3, 4, 5, etc., and the present disclosure does not limit the specific value of the diffusion distance threshold q.
  • the first backlight characteristic value of each diffusion partition can be multiplied by the diffusion factor of the diffusion partition, and then the multiplication result of each diffusion partition (the first backlight characteristic value of the diffusion partition) The product of the value and the corresponding diffusion factor) and the first backlight characteristic value of the backlight partition are accumulated to obtain the backlight diffusion characteristic value of the backlight partition.
  • the backlight diffusion simulation process is similar to the convolution process, and it can be called a convolution diffusion model.
  • Figure 9a is a schematic diagram of a backlight partition and its corresponding diffusion partitions in an embodiment of the present disclosure.
  • Figure 9b is a schematic diagram of the diffusion factors of the backlight partition and its corresponding diffusion partitions shown in Figure 9a.
  • the diffusion distance threshold 4
  • backlight diffusion simulation is performed on 9*9 backlight partitions centered on the backlight partition numbered e5, including a1 ⁇ a9, b1 ⁇ b9, c1 ⁇ c9 , d1 ⁇ d9, e1 ⁇ e9, f1 ⁇ f9, g1 ⁇ g9, h1 ⁇ h9, i1 ⁇ i9; as shown in Figure 9b
  • the diffusion factors of these 9*9 backlight partitions are P1-P81.
  • the diffusion factor P41 of the backlight partition numbered e5 currently being processed is 1.
  • the diffusion factor may be a value measured in advance by experiments and is determined by the screen characteristics of the display device.
  • those skilled in the art can set the diffusion distance threshold according to the value of the diffusion factor. When the diffusion distance threshold value is larger, the result is more accurate, but the calculation amount increases; when the diffusion distance threshold value is smaller, the result accuracy decreases, but the calculation amount also decreases. It should be understood that those skilled in the art can set the diffusion distance threshold according to actual conditions, and this disclosure does not limit this.
  • the diffusion process of backlight light can be simulated, so that the backlight diffusion characteristic value of each backlight partition is closer to the actual backlight brightness, thereby reducing the block effect of the backlight partition and improving the display effect.
  • the backlight partition at the edge of the display device that is, with the display Backlight partitions whose distance from the edge of the device is smaller than the diffusion distance threshold q have a smaller number of diffusion partitions.
  • the calculated backlight diffusion characteristic value of the backlight partition at the edge is too small.
  • the edge partition that does not fully satisfy the convolution diffusion model and fully satisfies the convolution The image of the normal partition of the diffusion model shows obvious demarcation phenomenon, and the display effect becomes worse.
  • the number of backlight partitions can be expanded to increase the backlight diffusion characteristic value of the backlight diffusion simulation for the edge backlight partitions.
  • Figure 11 is a flow chart of another optional implementation method of step S13 in the embodiment of the present disclosure. As shown in Figure 11, in some embodiments, before step S131, it also includes:
  • Step S130 Determine the location and number of virtual partitions outside the plurality of backlight partitions according to the preset diffusion distance threshold, and determine the extended backlight characteristic value of each virtual partition according to the first backlight characteristic values of the plurality of backlight partitions. .
  • the essence of the extended backlight characteristic value of the virtual partition is the first backlight characteristic value of the virtual partition.
  • the number of backlight partitions can be expanded according to the preset diffusion distance threshold q in step S130 to determine the virtual partitions that need to be expanded. location and quantity.
  • FIG. 12 is a schematic diagram of extending the backlight partition to obtain a virtual partition in an embodiment of the present disclosure.
  • the area where the unexpanded backlight partition is located is area 1, including M*N Backlight partitions, M and N are integers greater than 1.
  • M*N Backlight partitions M and N are integers greater than 1.
  • N*q virtual partitions in area 2 M*q virtual partitions in area 3, and q*q virtual partitions in area 4 can be determined respectively. In this way, each edge of the backlight assembly is expanded respectively.
  • the extended backlight characteristic value of each virtual partition may be determined in step S130 in a manner that mirrors the first backlight characteristic value of the backlight partition near the edge according to the first backlight characteristic value of each backlight partition.
  • the specific description of the mirroring method is as follows:
  • the first backlight characteristic value of column 3 the first backlight characteristic value of column 2 of mirror area 1 of column 4.
  • the corresponding first backlight characteristic value, the first backlight characteristic value corresponding to the four partitions B53, B43, B33, and B23 of the mirror area 1 in the third column, and the four partitions B52, B42, B32, and B22 of the mirror area 1 in the fourth column The corresponding first backlight characteristic value.
  • Row 3, column 4 mirror the first backlight characteristic value of row 2 of area 1.
  • the mirror compensation method for other edge positions is similar to the above method.
  • the first backlight characteristic values of the partitions in each area can be stored separately.
  • BRAM Block RAM
  • area 1, area 2, area 3, and area 4 are each stored in one BRAM. In this way, a total of 9 BRAMs store data, forming the first backlight characteristic values of (M+2q)*(N+2q) partitions.
  • step S131 if the partition distance between the backlight partition to be processed and the edge of the display device is less than the diffusion distance threshold, the first backlight feature value of the backlight partition, the diffusion partition of the backlight partition can be The first backlight characteristic value, the extended backlight characteristic value of the virtual partition whose partition distance from the backlight partition is less than or equal to the diffusion distance threshold, and the corresponding diffusion partition and diffusion factor of the virtual partition determine the backlight diffusion characteristic value of the backlight partition .
  • step S131 backlight diffusion simulation can be performed on (2q+1)*(2q+1) backlight partitions centered on the backlight partition.
  • the first backlight characteristic value of the backlight partition, the first backlight characteristic value of the diffusion partition of the backlight partition, and the extended backlight characteristic value of the virtual partition whose partition distance between the backlight partition is less than or equal to the diffusion distance threshold are , multiplied by the diffusion factors of the corresponding diffusion partitions and virtual partitions, and then accumulating each multiplication result and the first backlight characteristic value of the backlight partition to obtain the backlight diffusion characteristic value of the backlight partition.
  • the backlight diffusion characteristic value after simulating the edge partition backlight can be improved, and the accuracy of the backlight simulation can be improved.
  • FIG. 13 is a schematic diagram of a frame of a backlight assembly in an embodiment of the present disclosure.
  • the backlight assembly is provided on the backplane.
  • a frame is provided on the side of the backlight assembly, and a reflective sheet is provided on the frame to reflect the light emitted to the reflective sheet onto the display assembly. Therefore, without correcting the backlight When the partitions are expanded, the backlight diffusion characteristic value calculated for the edge backlight partition is smaller.
  • the above-mentioned direct mirroring expansion method can be considered as a case where the reflectivity of the reflective sheet is 1.
  • the reflectivity of reflective sheets is usually less than 1.
  • influence factors can be set for each virtual partition to further improve the accuracy of backlight diffusion simulation.
  • the extended backlight characteristic values of each virtual partition may be determined based on the first backlight characteristic values of the multiple backlight partitions and the influence factors of each virtual partition. .
  • the impact factor is related to the reflectivity of the side of the backlight assembly.
  • the impact factor is related to the reflectivity of the sides of the backlight assembly.
  • the impact factor of the virtual partition can be calculated based on the reflectivity of the side of the backlight component, or can be determined through actual testing.
  • the same impact factor can be set for each virtual partition, or different impact factors can be set for each virtual partition. This disclosure does not limit the specific determination method or setting method of the impact factor.
  • the backlight partition corresponding to each virtual partition may be determined by mirroring the first backlight characteristic value of the backlight partition near the edge. This mirroring process will not be described again.
  • the first backlight characteristic value of the backlight partition corresponding to the virtual partition is multiplied by the influence factor of the virtual partition, and the result is used as the extended backlight characteristic value of the virtual partition. Therefore, the extended backlight characteristic value of each virtual partition can be determined.
  • the backlight brightness of the virtual partition can be determined based on the influence factor, further improving the accuracy of the backlight diffusion simulation, thereby improving the display effect of the compensated image.
  • the above-mentioned backlight simulation can effectively remove the blocking effect and make the transition between different partitions of the image smoother.
  • the pixel backlight characteristic value of each pixel in the backlight partition can be further calculated.
  • the backlight diffusion characteristic value of the pixels in each backlight partition can be calculated by using a preset interpolation algorithm in step S142. Light is simulated to obtain the pixel backlight characteristic value of each pixel of the target image.
  • FIG 14 is a flow chart of an optional implementation method of step S132 in an embodiment of the present disclosure. As shown in Figure 14, in some embodiments, step S132 includes:
  • Step S1321 For any target area, determine the pixel backlight characteristic values of the vertex pixels of the target area according to the backlight diffusion characteristic values of the covered 2*2 backlight partitions.
  • the target area is an area with the center of the covered 2*2 backlight partitions as the vertex, and the size is the same as the size of the backlight partition.
  • Step S1322 According to the second backlight brightness value of the vertex pixel of the target area, use a preset interpolation algorithm to perform interpolation processing on each pixel in the target area to obtain the pixel backlight characteristic value of each pixel in the target area.
  • the target area is an area with the center point of the backlight partition as a vertex and the same size as the backlight partition.
  • FIG. 15 is a schematic diagram of selecting a target area from four adjacent backlight partitions in an embodiment of the present disclosure.
  • each backlight partition B1, B2, B3, and B4 corresponds to 4*4 pixel points a1 ⁇ a16, b1 ⁇ b16, c1 ⁇ c16, d1 ⁇ d16.
  • the four backlight partitions B1, B2, B3, The midpoint connection of B4 defines a target area C1.
  • the four vertex pixels of the target area C1 are pixel point a11, pixel point b10, pixel point c7 and pixel point d6 respectively.
  • the pixel backlight characteristic value of pixel point a11 is the backlight diffusion characteristic value of the backlight partition B1 to which it belongs
  • the pixel backlight characteristic value of pixel point b10 is the backlight diffusion characteristic value of the backlight partition B2 to which it belongs
  • the pixel backlight characteristic value of pixel point c7 is The characteristic value is the backlight diffusion characteristic value of the backlight partition B3 to which it belongs
  • the pixel backlight characteristic value of the pixel point d6 is the backlight diffusion characteristic value of the backlight partition B4 to which it belongs.
  • a 2*2 matrix is generated based on the pixel backlight characteristic values of the four vertex pixel points a11, b10, c7, and d6.
  • the above 2*2 matrix is interpolated through the preset interpolation algorithm and a 4*
  • the 4*4 matrix corresponds to the 4*4 pixels in the target area C1, thereby obtaining the pixel backlight characteristic values of the 4*4 pixels in the target area C1.
  • the preset interpolation algorithm is a bilinear interpolation algorithm.
  • the four vertex pixel points a11, b10, c7, and d6 in the target area C1 are mapped to the plane rectangular coordinate system (the abscissa is represented by x, the ordinate is represented by y), and the corresponding coordinates are respectively set Defined as (0,1), (1,1), (0,0), (1,0), the area defined by these four coordinate points is SQ1.
  • the pixel backlight feature value f(x0, y0) corresponding to any point (x0, y0) in the area SQ1 is:
  • f(x0,y0) f(0,0)*(1-x0)*(1-y0)+f(1,0)*x0*(1-y0)+f(0,1)*(1 -x0)*y0+f(1,1)*x0*y0
  • 0 ⁇ x0 ⁇ 1, 0 ⁇ y0 ⁇ 1; the values of f(0,0), f(1,0), f(0,1), and f(1,1) are respectively the vertex pixel point c7
  • the above process of interpolating a 2*2 matrix through the bilinear interpolation algorithm and generating a 4*4 matrix can be regarded as solving the coordinates (0,0), (1/3, 0), (2/ 3,0), (1,0), (0,1/3), (1/3,1/3), (2/3,1/3), (1,1/3), (0, 2/3), (1/3, 2/3), (2/3, 2/3), (1, 2/3), (0,1), (1/3, 1), (2/ The process of pixel backlight characteristic value corresponding to 3,1) and (1,1).
  • the pixel backlight characteristic value of each pixel in the target area C1 is determined according to the obtained matrix.
  • the pixel backlight characteristic value of pixel point c4 in Figure 15 is f (1/3, 1/3)
  • the pixel backlight characteristic value of pixel point b14 in Figure 15 is f (1, 2/3).
  • the portion beyond the edge can be zero-padded or mirrored.
  • the mirroring method is similar to the method described above.
  • the target area at the edge of the display device is also interpolated through a preset interpolation algorithm to obtain the pixel backlight characteristic values of all pixels in the target area. This disclosure does not limit the specific processing method of the portion beyond the edge.
  • the backlight simulation of each pixel can be realized, further improving the accuracy of the backlight simulation, thereby making the entire image smoother and achieving better image display effects.
  • the first pixel data of each pixel point of the target image can be compensated respectively through step S133 and step S134, to obtain The compensated second pixel data.
  • Linear pixel compensation is easy to implement and has low computational complexity, but it is not good at processing high-brightness images. If the backlight brightness is low, it will not only amplify the noise of the image itself, but also cause a halo phenomenon due to excessive compensation, resulting in the loss of image details after compensation and worsening of the image display effect.
  • a non-linear pixel compensation method may be adopted. Specifically, in step S133, the compensation factor of the pixel point is determined through non-linear pixel compensation, and in step S134, based on the determined compensation factor, the pixels of each sub-pixel in the first pixel data of each pixel point are calculated. The gray level is compensated to obtain the second pixel data of the pixel.
  • non-linear pixel compensation can be used to determine the compensation factor of the pixel.
  • the formula is expressed as follows:
  • factor (u, v) represents the compensation factor of pixel (u, v);
  • BL pix (u, v) represents the pixel backlight characteristic value of pixel (u, v);
  • BL base is the actual The test constant, for example, the value of BL base is the preset maximum pixel gray level i max ; ⁇ 1 is a fixed value, for example, the value is 2.2.
  • the pixels can be compensated directly according to the compensation factor obtained by formula (7).
  • the compensation factor calculated by formula (7) (called the first compensation factor) and the maximum compensation factor corresponding to the pixel (called the second compensation factor) can also be used. Compare and select the smaller of the first compensation factor and the second compensation factor as the final compensation factor of the pixel to avoid overflow of the pixel gray level value after the pixel is compensated.
  • step S133 includes:
  • Step S1331 Determine the first compensation factor of the pixel using nonlinear pixel compensation according to the pixel backlight characteristic value of the pixel.
  • Step S1332 Determine the second compensation factor of the pixel according to the first pixel data of the pixel.
  • Step S1333 Determine the smaller of the first compensation factor and the second compensation factor as the compensation factor of the pixel.
  • step S1331 the first compensation factor of the pixel can be obtained through formula (7).
  • step S1332 first determine the pixel gray level of the pixel (the maximum value of the pixel gray level in the sub-pixels included in the pixel) based on the first pixel data of the pixel, and then use the preset maximum pixel gray level A division operation is performed with the pixel gray level i max of the pixel, and the operation result is used as the second compensation factor (representing the maximum compensation factor that can be configured for the pixel).
  • step S1333 the smaller one of the first compensation factor obtained in step S1331 and the second compensation factor obtained in step S1332 is selected as the final compensation factor of the pixel point.
  • step S134 the pixel gray level of each sub-pixel in the first pixel data of each pixel point is compensated to obtain the second pixel data of the pixel point.
  • the pixel gray level of each sub-pixel in the first pixel data of the pixel point can be multiplied by the compensation factor obtained in step S133 to compensate the pixel gray level of each sub-pixel, thereby Obtain the second pixel data of the pixel.
  • FIG 17 is a flow chart of another display control method provided by an embodiment of the present disclosure. As shown in Figure 17, what is different from the display control method provided in the previous embodiment is that after step S13, it also includes:
  • Step S14 When the display conditions of the target image are met, the backlight driving values of the multiple backlight partitions and the second pixel data of each pixel point are simultaneously input into the driving component and the display component respectively.
  • the backlight driving values of multiple backlight partitions and the second pixel data of each pixel point are input into the driving component and the display component respectively, so that the driving component drives the backlight lamps of the multiple backlight partitions.
  • the backlight corresponding to the target image is emitted, and the display component displays the target image.
  • the backlight data (the backlight driving value of each backlight area) and the pixel data (the second pixel data of each pixel) corresponding to the same target image are simultaneously sent to the backlight component and the display component respectively to ensure that the backlight Matching of data to pixel data.
  • the display condition of the target image may include, for example: the row synchronization signal VX, the column synchronization signal HX, the data valid signal DE, etc. corresponding to the target image are all valid.
  • Various corresponding signals can be determined according to the frame identification ID and other information of the target image; the display conditions of the target image can be set according to the display mode of the display device. This disclosure does not limit the specific content of the display conditions.
  • the display control method according to the embodiment of the present disclosure can be applied to various display systems, especially large-screen or ultra-large-screen high-definition display systems.
  • Mini_LED backlight display systems regional dynamic backlight control is adopted, through grayscale partitioning. Feature extraction, filtering, backlight diffusion convolution, interpolation to obtain pixel backlight characteristic values, pixel compensation and other operations can improve the quality of the display system's display screen, improve the contrast of the display screen, significantly reduce the power consumption of the display system, and be able to compare Completely retain image details and achieve better visual effects.
  • FIG. 18 is a structural block diagram of a display control device provided by an embodiment of the present disclosure. As shown in Figure 18, the display Controls include:
  • the brightness and darkness acquisition module 10 is used to acquire the brightness and darkness feature values of the target image, and the brightness and darkness feature values represent the brightness and darkness of the target image.
  • the backlight feature determination module 11 is used to extract the partition features of the pixels of the target image according to the pixel gray levels corresponding to the multiple backlight partitions of the backlight component of the display device, and extract the partition features and the brightness level according to the partition feature extraction results
  • the characteristic value determines a first backlight characteristic value of the plurality of backlight partitions.
  • the drive value determination module 13 is configured to determine the backlight drive value of each backlight partition according to the first backlight characteristic values of the plurality of backlight partitions, so that the backlight assembly emits backlight corresponding to the target image based on the backlight drive value.
  • the compensation module 14 is used to respectively compensate the first pixel data of each pixel point of the target image according to the first backlight characteristic values of the plurality of backlight partitions, and obtain the compensated second pixel data for use by the display component of the display device.
  • the target image is displayed based on the second pixel data.
  • Figure 19 is a structural block diagram of another display control device provided by an embodiment of the present disclosure. As shown in FIG. 19 , the display control device shown in FIG. 19 is a specific optional implementation based on the pixel control device shown in FIG. 18 .
  • the pixel control device further includes: a filter module 12; wherein the filter module 12 is used to filter the first backlight characteristic values of multiple backlight partitions to obtain updated first backlight characteristic values of each backlight partition.
  • the brightness and darkness acquisition module 10 is specifically configured to determine the brightness and darkness feature values of the target image according to the first pixel data of each pixel point in the target image.
  • the brightness level acquisition module 10 includes a histogram generation unit 101a and a brightness level acquisition unit 102a.
  • the histogram generating unit 101a is specifically configured to generate a grayscale histogram of the target image based on the pixel grayscale of each sub-pixel included in the first pixel data of each pixel point in the target image.
  • the brightness level acquisition unit 102a is specifically configured to determine the brightness and darkness feature values of the target image based on the grayscale histogram.
  • the brightness level acquisition unit 102a is specifically configured to determine, based on the number of pixel points of each pixel gray level recorded in the grayscale histogram, the brightness level acquisition unit 102a that satisfies the The minimum N value is taken, and the determined N is used as the brightness feature value.
  • N is an integer and 0 ⁇ N ⁇ i max
  • i max represents the preset maximum pixel gray level
  • t i represents the number of pixels with pixel gray level i recorded in the grayscale histogram
  • T represents the target image.
  • S represents the preset proportion threshold, 0.5 ⁇ S ⁇ 1.
  • the backlight feature determination module 11 includes: a partition feature extraction unit 111, a weighting coefficient determination unit 112, and a first backlight feature value calculation unit 113.
  • the partition feature extraction unit 111 is used for determining the pixels of each pixel in each backlight partition according to the pixel gray level of each pixel in the backlight partition of the target image for any of the backlight partitions.
  • the first feature representative value and the second feature representative value of the gray level are used as the partition feature extraction results, wherein the first feature representative value is smaller than the second feature representative value.
  • the first characteristic representative value of the pixel gray level of the pixel point in the backlight partition is the average value of the pixel gray level of the pixel point in the backlight partition; the first characteristic representative value of the pixel gray level of the pixel point in the backlight partition The second characteristic representative value is the maximum value of the pixel gray level of the pixel in the backlight partition.
  • the weighting coefficient determination unit 112 is used to determine the weighting coefficient P according to the feature value of the brightness and darkness degree; wherein the weighting coefficient is negatively correlated with the feature value of the brightness and darkness degree.
  • the weighting coefficient P determined according to the feature value of the brightness and darkness is:
  • i max represents the preset maximum pixel gray level
  • F 0 represents the feature value of lightness and darkness
  • the first backlight characteristic value calculation unit 113 is configured to determine, for any backlight partition, the third characteristic value of the backlight partition according to the weighting coefficient and the first characteristic representative value and the second characteristic representative value of the pixel gray level of the pixel in the backlight partition.
  • a backlight characteristic value; BL 1 (1-P) ⁇ BLR 1 +P ⁇ BLR 2
  • BL 1 is the first backlight characteristic value of the backlight partition
  • P is the weighting coefficient
  • BLR 1 is the first characteristic representative value of the pixel gray level of all pixels in the backlight partition
  • BLR 2 is the pixel gray of all pixels in the backlight partition.
  • the second eigenvalue of degree level represents the value.
  • the first characteristic representative value of the pixel gray level of the pixel point in the backlight partition is the average value of the pixel gray level of the pixel point in the backlight partition; the first characteristic representative value of the pixel gray level of the pixel point in the backlight partition The second characteristic representative value is the maximum value of the pixel gray level of the pixel in the backlight partition.
  • the filtering module 12 includes: a filter coefficient determination unit 121 and a filter processing unit 122.
  • the filter coefficient determining unit 121 is used to determine the filter coefficient Q according to the feature value of the brightness and darkness degree; wherein the filter coefficient is positively correlated with the feature value of the brightness and darkness degree.
  • the filter coefficient Q determined according to the feature value of the brightness and darkness is:
  • i max represents the preset maximum pixel gray level
  • F 0 represents the feature value of lightness and darkness
  • the filter processing unit 122 is configured to determine, for any backlight partition, the updated first backlight of the backlight partition based on the first backlight characteristic value of the backlight partition, the first backlight characteristic value of adjacent partitions of the backlight partition, and a predetermined filter coefficient. Feature value; wherein the neighboring partitions include backlight partitions whose partition distance from the backlight partition is less than or equal to the partition distance threshold.
  • the filter processing unit 122 is specifically configured to first The backlight characteristic value and the filter coefficient are used to determine the second backlight characteristic value of the adjacent partition, and the maximum value of the first backlight characteristic value of the backlight partition and the second backlight characteristic value of each adjacent partition is determined as the updated backlight partition.
  • the filter processing unit 122 is specifically configured to select a neighboring partition with the largest first backlight feature value from the neighboring partitions as the target neighboring partition, and determine the first backlight characteristic value of the target neighboring partition according to the first backlight characteristic value and the filter coefficient of the target neighboring partition. 2.
  • Backlight characteristic values determine the larger value of the first backlight characteristic value of the backlight partition and the second backlight characteristic value of the target adjacent partition as the first backlight characteristic value after the backlight partition is updated.
  • the driving value determination module 13 includes: an adjustment coefficient determination unit 131 and a driving value calculation unit 132.
  • the adjustment coefficient determining unit 131 is used to determine the driving adjustment coefficient W according to the brightness and darkness characteristic values, where the driving adjustment coefficient W is positively correlated with the brightness and darkness characteristic values.
  • the driving adjustment coefficient W determined according to the feature value of the brightness and darkness is:
  • F 0 represents the feature value of lightness and darkness
  • i max represents the preset maximum pixel gray level
  • m is the preset constant coefficient and m ⁇ 2.
  • the drive value calculation unit 132 is configured to, for any backlight partition, determine the backlight drive value of the backlight partition according to the first backlight characteristic value of the backlight partition and the predetermined drive adjustment coefficient;
  • B drive represents the backlight drive value of the backlight partition
  • BL 2 represents the first backlight characteristic value of the backlight partition
  • W represents the drive adjustment coefficient
  • i max represents the preset maximum pixel gray level
  • I max represents the preset maximum backlight gray level. class.
  • m takes a value of 5.
  • the backlight assembly includes a driving component and backlight lamps of multiple backlight partitions
  • the display control device further includes: a driving value sending module 15 and a pixel data sending module 16 .
  • the driving value sending module 15 is configured to input the backlight driving values of the plurality of backlight partitions to the driving component when the display conditions of the target image are met.
  • the pixel data sending module 16 is used to input the second pixel data of each pixel point to the display component when the display conditions of the target image are met.
  • the compensation module 14 includes: a backlight diffusion simulation unit 141, an interpolation processing unit 142, a compensation factor determination unit 143, and a compensation unit 144.
  • the backlight diffusion simulation unit 141 is used for determining the backlight partition for any backlight partition according to the first backlight characteristic value of the backlight partition, the first backlight characteristic value of the diffusion partition of the backlight partition, and the diffusion factor of the diffusion partition of the backlight partition.
  • the backlight diffusion characteristic value wherein the diffusion partition includes a backlight partition whose partition distance from the backlight partition is less than or equal to the diffusion distance threshold.
  • the interpolation processing unit 142 is configured to use a preset interpolation algorithm to obtain the pixel backlight characteristic value of each pixel point of the target image according to the backlight diffusion characteristic values of the multiple backlight partitions.
  • the compensation factor determination unit 143 is used for determining the compensation factor of any pixel point by using non-linear pixel compensation according to the pixel backlight characteristic value of the pixel point.
  • the compensation unit 144 is used to compensate the pixel gray level of each sub-pixel in the first pixel data of each pixel point according to the compensation factor to obtain the second pixel data of the pixel point.
  • FIG. 20 is a structural block diagram of a display device provided by an embodiment of the present disclosure.
  • the display device includes: a backlight component 71 , a display component 72 and a display control device 73 .
  • the display control device adopts the display control device provided in the above embodiment.
  • the display control device is connected to the backlight component and the display component respectively, and is used to control the display according to the purpose to be displayed.
  • the target image is determined, the backlight drive value and the compensated second pixel data of the target image in multiple backlight partitions are determined, the backlight drive value is input to the backlight component, and the compensated second pixel data is input to the display component.
  • the backlight assembly includes a driving component and a plurality of backlight partitions.
  • the driving component is used to drive the multiple backlight partitions to emit backlight according to the backlight driving values of the multiple backlight partitions.
  • the display component is used for displaying according to the input second pixel data.
  • the display control device 73 may be a field programmable gate array FPGA or other types of logic devices, which is not limited by this disclosure.
  • Figure 21 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure.
  • an embodiment of the present disclosure provides an electronic device including: one or more processors 101, a memory 102, and one or more I/O interfaces 103.
  • One or more programs are stored on the memory 102.
  • the one or more processors implement the display control method as in any of the above embodiments;
  • one One or more I/O interfaces 103 are connected between the processor and the memory, and are configured to realize information exchange between the processor and the memory.
  • the processor 101 is a device with data processing capabilities, including but not limited to a central processing unit (CPU), etc.
  • the memory 102 is a device with data storage capabilities, including but not limited to random access memory (RAM, more specifically Such as SDRAM, DDR, etc.), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory (FLASH);
  • the I/O interface (read-write interface) 103 is connected between the processor 101 and the memory 102 , can realize information interaction between the processor 101 and the memory 102, which includes but is not limited to a data bus (Bus), etc.
  • processor 101 memory 102, and I/O interface 103 are connected to each other and, in turn, to other components of the computing device via bus 104.
  • the one or more processors 101 include a field programmable gate array FPGA.
  • a computer-readable medium stores a computer program, wherein when the program is executed by the processor, the above-mentioned implementation is realized.
  • the steps in the image display control method in any embodiment.
  • embodiments of the present disclosure include a computer program product including a computer program carried on a machine-readable medium, the computer program containing program code for performing the method illustrated in the flowchart.
  • the computer program may be downloaded and installed from the network via the communications component, and/or installed from removable media.
  • CPU central processing unit
  • the computer-readable medium shown in the present disclosure may be a computer-readable signal medium or a computer-readable storage medium, or any combination of the above two.
  • the computer-readable storage medium may be, for example, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus or device, or any combination thereof. More specific examples of computer readable storage media may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard drive, random access memory (RAM), read only memory (ROM), removable Programmd read-only memory (EPROM or flash memory), fiber optics, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above.
  • a computer-readable storage medium may be any tangible medium that contains or stores a program for use by or in connection with an instruction execution system, apparatus, or device.
  • a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code therein. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above.
  • a computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device .
  • Program code embodied on a computer-readable medium may be transmitted using any suitable medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the foregoing.
  • each block in the flowchart or block diagrams may represent a module, segment, or portion of code that contains one or more components that implement the specified logical function(s). executable instructions.
  • the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown one after another may actually execute substantially in parallel, or they may sometimes execute in the reverse order, depending on the functionality involved.
  • each block of the block diagram and/or flowchart illustration, and combinations of blocks in the block diagram and/or flowchart illustration can be implemented by special purpose hardware-based systems that perform the specified functions or operations. , or can be implemented using a combination of specialized hardware and computer instructions.
  • the circuits or sub-circuits described in the embodiments of the present disclosure may be implemented in software or hardware.
  • the described circuit or sub-circuit can also be provided in a processor.
  • a processor including: a receiving circuit and a processing circuit.
  • the processing module includes a writing sub-circuit and a reading sub-circuit.
  • the names of these circuits or sub-circuits do not constitute a limitation on the circuit or sub-circuit itself under certain circumstances.
  • a receiving circuit can also be described as "receiving video signals".

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Abstract

L'invention concerne un procédé de commande d'affichage. Le procédé consiste à : acquérir une valeur de caractéristique de degré de luminosité d'une image cible (S10), la valeur de caractéristique de degré de luminosité représentant le degré de luminosité de l'image cible ; effectuer une extraction de caractéristique de partition sur des points de pixel de l'image cible en fonction des niveaux d'échelle de gris de pixel de points de pixel correspondant à une pluralité de partitions de rétroéclairage d'un ensemble de rétroéclairage d'un dispositif d'affichage, et déterminer des premières valeurs de caractéristique de rétroéclairage des partitions de rétroéclairage en fonction du résultat d'extraction de caractéristique de partition et de la valeur de caractéristique de degré de luminosité (S11) ; déterminer une valeur d'excitation de rétroéclairage de chaque partition de rétroéclairage en fonction des premières valeurs de caractéristique de rétroéclairage de la pluralité de partitions de rétroéclairage (S12) ; et compenser respectivement les premières données de pixel de chaque point de pixel de l'image cible en fonction des premières valeurs de caractéristique de rétroéclairage de la pluralité de partitions de rétroéclairage, de façon à obtenir des secondes données de pixel post-compensation (S13). L'invention concerne en outre un appareil de commande d'affichage, un dispositif d'affichage, un dispositif électronique et un support lisible par ordinateur.
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CN108648700A (zh) * 2018-05-18 2018-10-12 京东方科技集团股份有限公司 一种背光源的动态调光显示控制方法和装置
CN112513968A (zh) * 2019-02-27 2021-03-16 京东方科技集团股份有限公司 图像显示处理方法及装置、显示装置及存储介质
CN110189714A (zh) * 2019-06-25 2019-08-30 京东方科技集团股份有限公司 具有区域调节背光的显示方法及装置、电子设备、介质
CN110379379A (zh) * 2019-07-31 2019-10-25 京东方科技集团股份有限公司 一种背光驱动方法及装置、显示装置及存储介质
CN110992898A (zh) * 2019-12-05 2020-04-10 聚好看科技股份有限公司 一种多分区背光控制的方法及设备
CN113870800A (zh) * 2021-09-22 2021-12-31 东莞市金锐显数码科技有限公司 一种背光调节方法、装置、终端设备及存储介质
CN114822421A (zh) * 2022-04-29 2022-07-29 京东方科技集团股份有限公司 显示控制方法及装置、显示设备、电子设备以及介质

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