WO2023207275A1

WO2023207275A1 - Display control method and apparatus, display device, electronic device and medium

Info

Publication number: WO2023207275A1
Application number: PCT/CN2023/077076
Authority: WO
Inventors: 马希通; 李涛; 张书国
Original assignee: 京东方科技集团股份有限公司
Priority date: 2022-04-29
Filing date: 2023-02-20
Publication date: 2023-11-02
Also published as: CN114822421B; CN114822421A

Abstract

Provided is a display control method. The method comprises: acquiring a brightness degree feature value of a target image (S10), wherein the brightness degree feature value represents the brightness degree of the target image; performing partition feature extraction on pixel points of the target image according to pixel grayscale levels of pixel points corresponding to a plurality of backlight partitions of a backlight assembly of a display device, and determining first backlight feature values of the backlight partitions according to a partition feature extraction result and the brightness degree feature value (S11); determining a backlight driving value of each backlight partition according to the first backlight feature values of the plurality of backlight partitions (S12); and respectively compensating for first pixel data of each pixel point of the target image according to the first backlight feature values of the plurality of backlight partitions, so as to obtain second pixel data after compensation (S13). Further provided are a display control apparatus, a display device, an electronic device, and a computer-readable medium.

Description

Display control method and device, display equipment, electronic equipment and media

Technical field

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.

Background technique

With the continuous development of LED (light-emitting diode) display technology, 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.

Contents of the invention

In a first aspect, embodiments of the present disclosure provide a display control method, including:

Obtain the brightness and darkness feature value of the target image, and the brightness and darkness feature value represents the brightness and darkness degree of the target image;

According to the pixel gray levels of the pixels corresponding to the multiple backlight partitions of the backlight assembly of the display device, 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. first backlight characteristic values of the plurality of backlight partitions;

Determine the backlight drive value of each backlight partition according to the first backlight characteristic value of the plurality of backlight partitions, so that the backlight assembly emits backlight corresponding to the target image based on the backlight drive value;

According to the first backlight characteristic values of the plurality of backlight partitions, 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.

In some embodiments, the step of obtaining the feature value of the brightness and darkness of the target image includes:

Determine the brightness and darkness of the target image according to the first pixel data of each pixel in the target image Eigenvalues.

In some embodiments, 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:

Generate a grayscale histogram of the target image according to the pixel gray level of each sub-pixel included in the first pixel data of each pixel in the target image;

The brightness and darkness feature values of the target image are determined according to the grayscale histogram.

In some embodiments, the step of determining the brightness and darkness feature values of the target image based on the grayscale histogram includes:

According to the number of pixel points of each pixel gray level recorded in the grayscale histogram, it is determined that the The minimum N value is taken, and the determined N is used as the feature value of the brightness and darkness degree;

Among them, 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, and T represents the above The number of pixels in the target image, S represents the preset proportion threshold, 0.5≤S<1.

In some embodiments, 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:

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.

In some embodiments, 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.

In some embodiments, 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;

For any backlight partition, determine the first backlight 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;
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, and BLR ₂ is the backlight The second characteristic representative value of the pixel gray level of all pixels in the partition.

In some embodiments, 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 ;

In some embodiments, after 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 Before 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.

In some embodiments, 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:

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;

Wherein, the adjacent partitions include backlight partitions whose partition distance from the backlight partition is less than or equal to a partition distance threshold.

In some embodiments, 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. Before 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.

In some embodiments, 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 .

In some embodiments, 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:

Determine a second backlight characteristic value of the adjacent partition according to the first backlight characteristic value of the adjacent partition and the filter coefficient;

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.

In some embodiments, 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:

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, and I _max represents the preset Set the maximum backlight gray level.

In some embodiments, 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.

In some embodiments, 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, 0≤F ₀ ≤i _max , i _max represents the preset maximum pixel gray level, m is the preset constant coefficient and m≥2.

In some embodiments, m takes a value of 5.

In some embodiments, the backlight assembly includes a driving component and backlight lamps of the plurality of backlight partitions, and the method further includes:

When the display conditions of the target image are met, 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.

In some embodiments, 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:

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;

According to the backlight diffusion characteristic values of the plurality of backlight partitions, a preset interpolation algorithm is used to obtain the pixel backlight characteristic value of each pixel point of the target image;

For any pixel, determine the compensation factor of the pixel using nonlinear pixel compensation based on the pixel backlight characteristic value of the pixel;

According to the compensation factor, 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.

In a second aspect, 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. backlight;

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.

In a third aspect, 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. And 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.

In a fourth aspect, 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.

In some embodiments, the processor includes a field programmable gate array FPGA.

In a fifth aspect, 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.

Description of the drawings

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;

Figure 3 is a flow chart of an optional implementation method of step S11 in the embodiment of the present disclosure;

4a and 4b are schematic diagrams of backlight partitions and characteristic values according to embodiments of the present disclosure;

Figure 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.

Detailed ways

In order to enable those skilled in the art to better understand the technical solutions of the present disclosure, the present disclosure will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

Unless otherwise defined, technical terms or scientific terms used in this disclosure shall have the usual meaning understood by a person with ordinary skill in the art to which this disclosure belongs. As used in this disclosure, the term " "One", "second" and similar words do not indicate any order, quantity or importance, but are used to distinguish different components. Likewise, "a", "an" or "the" and similar words do not Indicates a quantitative limit, but indicates the presence of at least one. Words such as "include" or "include" mean that the elements or things that appear before the word include the elements or things listed after the word and their equivalents, without excluding Other components or objects. Words such as "connect" or "connected" are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "Down" , "left", "right", etc. are only used to express relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

With the rapid development of LED display technology, especially Mini_LED display technology, LED display products have begun to be used in many commercial fields for ultra-large screen high-definition displays. Among them, Mini_LED display technology refers to the technology that uses LED devices with chip sizes between 50 and 200 μm for display.

In related technologies, LED display systems have certain defects. On the one hand, due to the inherent defect of the liquid crystal itself - the light leakage problem, 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.

In order to overcome the shortcomings in related technologies, regional dynamic backlight control can be used to dynamically adjust the backlight brightness of the LED display system. Among them, 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. When using 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:

In formula (1), BL ₀ is the backlight brightness value of the pixel before dimming, and 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, For this pixel point in The pixel gray level after dimming, γ 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.

According to the display control method of the embodiment of the present disclosure, 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.

Figure 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). As shown in Figure 1a, the display control method includes:

Step S10: Obtain the brightness and darkness feature values of the target image.

Among them, 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.

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.

For example, 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.

In some embodiments, 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). For example, in a 4K display device based on Mini_LED technology, there are 96*56 backlight partitions (i.e. 56 rows*96 columns). Each backlight partition can have a preset number of Mini_LED lights, such as 4, 16, etc. In order to provide backlight for the display component; 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.

In some embodiments, in step S10 , 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. Among them, 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.

In some embodiments, in step S11, 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; Among them, 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.

In some embodiments, for any backlight partition, 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. Wherein, 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.

As an example, 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.

Of course, in the embodiment of the present disclosure, the above-mentioned first characteristic representative value and second characteristic representative value can also be other characteristics. For example, 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.

Of course, in the embodiments of the present disclosure, the features of each backlight partition can also be extracted based on other methods. For example, 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.

After the partition feature extraction is completed, the first backlight feature value of each backlight partition is determined according to the partition feature extraction result and the brightness feature value. In the embodiment of the present disclosure, 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.

In some embodiments, after obtaining the first backlight characteristic value of each backlight partition, the first backlight characteristic value of each backlight partition can be mapped to the corresponding backlight driver based on a preset mapping method. Momentum value. 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. In the subsequent process, 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.

In some embodiments, in step S13, 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. In the subsequent process, 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.

According to an embodiment of the present disclosure, by obtaining the brightness and darkness feature value of 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. At the same time, since 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.

It should be noted that the situation where step S12 is executed after step S13 shown in Figure 1 is only an optional implementation in the embodiment of the present disclosure, and 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.

After the processing in step S11, 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. In this case, 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.

In some embodiments, in step S1a, the first backlight characteristic values of multiple backlight partitions may be filtered to obtain updated first backlight characteristic values of each backlight partition.

In some embodiments, for any backlight partition, it can be determined that 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. Among them, 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.

In some embodiments, for any backlight partition, (2p+1)*(2p+1) backlight partitions centered on the backlight partition can be filtered. 4a and 4b are schematic diagrams of backlight partitions and characteristic values according to embodiments of the present disclosure. As shown in Figure 4a, when the partition distance threshold p=1 and the backlight partition is 5, its adjacent partitions are 1, 2, 3, 4, 6, 7, 8, 9, a total of 9 backlight partitions of 3*3 ; As shown in Figure 4b, a, b, c, d, e, f, g, h, i are respectively the first backlight characteristic values of each backlight partition.

In some embodiments, 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.

In some embodiments, for 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, only some partitions within the partition distance threshold p can be selected for processing, for example, the backlight partition When 1 is the partition in the upper left corner of the display device and p=1, its adjacent partitions are 2, 4, and 5. You can filter only backlight partitions 1, 2, 4, and 5; or you can extend it left and upward to 9 partitions of 3*3. 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). In the scheme of obtaining the maximum value, no expansion, expansion and eigenvalues are filled with 0, or expansion and mirroring the eigenvalues have no effect on the filtering results; in the scheme of obtaining the average value, various processing methods are possible It has a certain impact on the filtering results.

It should be understood that those skilled in the art can set the filtering method and the processing method of the backlight partition at the edge of the display device according to actual conditions, and this disclosure does not limit this.

Figure 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.

Among them, 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). Then, gray out each pixel 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.

As an optional implementation, 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.

Among them, 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, and T represents the above The number of pixels in the target image, 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.

Of course, in the embodiment of the present disclosure, 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.

Figure 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.

Wherein, 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. In some embodiments, 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.

In some embodiments, the weighting coefficient P is:

In formula (2), 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)

In formula (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, and 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.

In some embodiments, 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.

Based on formula (2), it can be seen that the smaller the brightness and darkness feature value F0 is, the greater the weighting coefficient is; based on formula (3), it can be seen that the greater the weighting coefficient, the first backlight feature value of the backlight partition is obtained The closer it is to the second characteristic representative value of the pixel gray level of all pixels in the backlight partition (which is a larger value relative to the first characteristic representative value), the corresponding first characteristic value of the backlight partition is obtained. The larger the backlight eigenvalue is, the better it can ensure the dark details in the target image.

Through the above-mentioned steps S111 to S113, 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.

It should be noted that in 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.

In the present disclosure, 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. . In addition, 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. P) corresponding to the maximum value of the pixel gray level of all pixels in the backlight partition (the second feature representative value), The smaller the weight coefficient (that is, 1-P) corresponding to the average pixel gray level of all pixels in the backlight partition (the first characteristic representative value), the greater the first backlight characteristic value of the backlight partition obtained at this time. The closer to the maximum value of the pixel gray level of all pixels in the backlight partition, the better it can ensure the dark details in the target image. The brighter the brightness of the target image, the greater the feature value of brightness and darkness, and the smaller the weight coefficient (that is, P) corresponding to the maximum value of the pixel gray level of all pixels in the backlight partition. The greater the weight coefficient (that is, 1-P) corresponding to the average gray level, the closer the first backlight feature value of the backlight partition obtained at this time is to the backlight partition. The average of the pixel gray levels of all pixels within the pixel can reduce power consumption.

Based on the above content, it can be seen that by using the maximum value and average weighting method of pixel gray level, 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.

Figure 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. In some embodiments, 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.

In formula (4), 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} . Among them, 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.

In the embodiment of the present disclosure, the brighter the overall brightness of the target image (the greater the feature value of brightness and darkness), the greater the possible boundary gradient. At this time, 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. On the contrary, the darker the overall brightness of the target image (the smaller the brightness feature value), the smaller the possible boundary gradient. In this case, 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. Through the above design, it is helpful to ensure the simultaneous contrast of the target image.

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.

In 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. Among them, 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. Among them, 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.

In some embodiments, 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.

Figure 6a is a flow chart of an optional implementation method of step S1a2 in an embodiment of the present disclosure. As shown in Figure 6a, in some embodiments, 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) . As an example, 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. Of course, in other embodiments, 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.

Figure 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.

As an example, determine the updated first backlight feature value of the backlight partition numbered 5 in Figure 4a. 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.

It should be noted that 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.

In related technologies, 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. In response to the above problem, 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. Especially when 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.

In this way, the situation where the brightness difference between adjacent areas is too obvious can be reduced, so that the changes in brightness and darkness between different partitions tend to be smooth, thereby improving the display effect of the compensated image.

In some embodiments, the backlight assembly includes a driving component and a plurality of backlight partitioned backlights. The driving component is, for example, a driving chip, and the backlight is, for example, a Mini-LED lamp.

Figure 7 is a flow chart of an optional implementation method of step S12 in the embodiment of the present disclosure. As shown in Figure 7, in some embodiments, 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. In some embodiments, 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.

In some embodiments, the drive adjustment coefficient W is:

In formula (5), W represents the driving adjustment coefficient, F ₀ represents the brightness and darkness feature value, 0 ≤ F ₀ ≤ _{i max} , i _max represents the preset maximum pixel gray level, m is the preset constant coefficient and m ≥2.

Among them, 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.

In the embodiment of the present disclosure, the brighter the overall brightness of the target image (the greater the feature value of brightness and darkness), the greater the required backlight brightness. At this time, setting the drive adjustment coefficient larger can make the subsequent mapped The larger the backlight drive value. On the contrary, the darker the overall brightness of the target image (the smaller the brightness characteristic value), the smaller the backlight brightness required. At this time, setting the drive adjustment coefficient smaller can make the subsequent mapped backlight drive value smaller. . Through the above design, it is helpful to ensure the sequential contrast of the target image.

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.

In formula (6), 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, and I _max represents The default maximum backlight gray level.

In the embodiment of the present disclosure, 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. At this time, 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], then 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.

In the embodiment of the present disclosure, after mapping the first backlight feature value of the backlight partition to the corresponding In the process of determining the backlight drive value, a drive adjustment coefficient is also introduced to help ensure the sequential contrast of the target image.

Still taking the case where 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 maximum pixel gray level i _max in formula (6) is 2 ¹⁰ - 1=1023, the value of the maximum pixel gray level I _max is 2 ¹⁴ -1=16383.

In the above embodiment, 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.

As an example, the value of m is 5, and the value range of the driving adjustment coefficient W is [0.8,1]. The dynamic adjustment of the driving adjustment coefficient W is realized through the previous step S121, which is beneficial to ensuring the sequential contrast of the target image. Of course, in other embodiments, step S12 may not include the aforementioned step S121, and the driving adjustment coefficient W is a preset fixed value. In order to ensure that the overall brightness of the final displayed display screen is not too dark, 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.

In the embodiment of the present disclosure, since the first backlight characteristic values of each backlight partition are often different in size, 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. In this case, 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.

Figure 8 is a flow chart of an optional implementation method of step S13 in the embodiment of the present disclosure. As shown in Figure 8, in some embodiments, 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.

In embodiments of the present disclosure, for any backlight partition of the backlight assembly, 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.

Among them, the larger the value of the diffusion distance threshold q, the higher the accuracy of the backlight diffusion simulation, but the calculation amount is also larger; the smaller the value of q, the lower the accuracy of the backlight diffusion simulation, but the calculation amount is smaller. Usually, the diffusion distance threshold q can be set comprehensively based on the accuracy requirements and calculation requirements of light diffusion simulation. For example, when the partition distance = 4, the diffusion factor value is 0.05; when the partition distance > 4, the diffusion factor is further reduced, and when the partition distance > 4, the backlight diffusion is negligible, so the diffusion distance threshold q can be set to 4.

In some embodiments, (2q+1)*(2q+1) centered on the backlight partition can be Perform backlight diffusion simulation on each backlight partition. For example, when q=4, perform backlight diffusion simulation on 9*9 backlight partitions.

In some embodiments, in the backlight diffusion simulation, 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. As shown in Figure 9a and Figure 9b, when 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. Among them, the diffusion factor P41 of the backlight partition numbered e5 currently being processed is 1.

In some embodiments, the diffusion factor may be a value measured in advance by experiments and is determined by the screen characteristics of the display device. The diffusion factor has a value range of [0,1] and can be negatively correlated with the partition distance. That is, the greater the partition distance, the smaller the diffusion factor. For example, when the partition distance = 4, the diffusion factor is 0.05.

In some embodiments, 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.

In this way, 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.

In some embodiments, for 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.

In some embodiments, only the backlight partitions within the diffusion distance threshold q can be selected for processing, and the backlight diffusion characteristic value can be obtained through the convolution diffusion model. FIG. 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. As shown in Figure 10, when the diffusion distance threshold q=4, the diffusion partitions within the diffusion distance threshold corresponding to the backlight partition B11 in Figure 10 are B12~B15, B21~B25, B31~B35, B41~B45, B51~ B55, a total of 24 diffusion zones.

Since the backlight partition at the edge does not fully satisfy the convolution diffusion model, the calculated backlight diffusion characteristic value of the backlight partition at the edge is too small. After pixel compensation, 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.

In this case, 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.

For example, after obtaining the first backlight characteristic values of multiple backlight partitions in step S11, 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. As shown in Figure 12, assume that 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. To expand the number of backlight partitions, it is necessary to make the number of partitions of the edge backlight partitions in the backlight diffusion simulation reach (2q+1)*(2q+1). Taking the upper left edge as an example, 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. After expansion, the sum of the number of virtual partitions and backlight partitions is (M+2q)*(N+2q). For example, area 1 includes 96*56 backlight partitions, and q=4. After expansion, a total of (96+8)*(56+8)=104*64 partitions are obtained.

In some embodiments, 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:

For each area in Figure 12, the extended backlight feature value of the virtual partition in area 2 is mirrored centered on the 1st column of area 1. That is, when q=4, the first backlight feature value of column 1 in column 2 of area 2 mirrors the first backlight feature value of column 5 of area 1, the first backlight feature value of column 4 of column 2 mirror area 1, and the first backlight feature value of column 3 mirror area 1. The first backlight characteristic value of column 3, the first backlight characteristic value of column 2 of mirror area 1 of column 4.

Among them, the extended backlight characteristic value of the virtual partition in area 3 is mirrored with the first row and first column B11 of area 1 as the center. That is, when q=4, the first backlight characteristic value corresponding to the four partitions B55, B45, B35, and B25 of the mirror area 1 in the first column of area 3, and the four partitions B54, B44, B34, and B24 of the mirror area 1 in the second column 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.

Among them, the extended backlight characteristic value of the virtual partition in area 4 is mirrored centered on the first row of area 1. That is, when q=4, the first backlight feature value of row 1 of area 4 mirrors the first backlight feature value of row 5 of area 1, the second row mirrors the first backlight feature value of row 4 of area 1, and the third row mirrors the first backlight feature value of row 4 of area 1. 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.

In some embodiments, when an FPGA (Field Programmable Gate Array) is used to implement the display control device according to the embodiment of the present disclosure, the first backlight characteristic values of the partitions in each area can be stored separately. In the BRAM (Block RAM) of the FPGA, for example, 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.

In some embodiments, in 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 .

That is to say, for any backlight partition, if the partition distance between the backlight partition and the backlight partition at the edge of the display device is less than the diffusion distance threshold q, then the backlight partition is an edge partition, and its diffusion partition includes the distance between the backlight partition and the backlight partition. The virtual partition whose partition distance is less than or equal to the diffusion distance threshold q. In this way, in step S131, backlight diffusion simulation can be performed on (2q+1)*(2q+1) backlight partitions centered on the backlight partition. That is, 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.

In this way, 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. As shown in Figure 13, 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. However, in practical applications, the reflectivity of reflective sheets is usually less than 1. In this case, influence factors can be set for each virtual partition to further improve the accuracy of backlight diffusion simulation.

In some embodiments, after the positions and numbers of the virtual partitions are determined in step S130, 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. .

In some embodiments, the impact factor is related to the reflectivity of the side of the backlight assembly.

For example, 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.

In some embodiments, 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. For any virtual partition, 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.

In this way, 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. In order to obtain a better image display effect and make the entire image smoother, according to embodiments of the present disclosure, the pixel backlight characteristic value of each pixel in the backlight partition can be further calculated.

That is, after obtaining the backlight diffusion characteristic value of each backlight partition in step S141, 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.

Figure 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.

Among them, 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.

For example, multiple target areas may be determined. 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. As shown in Figure 15, 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.

Among them, 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, and 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. At this time, 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.

As an optional implementation, the preset interpolation algorithm is a bilinear interpolation algorithm. As a specific operation method, 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. Among them, 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

Among them, 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 pixel backlight characteristic value of , the pixel backlight characteristic value of the vertex pixel point d6, the pixel backlight characteristic value of the vertex pixel point a11 and the pixel backlight characteristic value of the vertex pixel point b10.

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). After completing the difference processing, the pixel backlight characteristic value of each pixel in the target area C1 is determined according to the obtained matrix. For example, the pixel backlight characteristic value of pixel point c4 in Figure 15 is f (1/3, 1/3), and the pixel backlight characteristic value of pixel point b14 in Figure 15 is f (1, 2/3).

In some embodiments, for the target area at the edge of the display device, 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.

In this way, 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.

Of course, in the embodiments of the present disclosure, other linear interpolation algorithms or non-linear interpolation algorithms can also be used to simulate the pixel backlight characteristic values of each pixel in the display screen. No examples will be given here.

In some embodiments, after obtaining the pixel backlight characteristic value of each pixel point of the target image through step S132, 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.

In the related art, there are linear pixel compensation and non-linear pixel compensation methods. 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.

According to embodiments of the present disclosure, 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.

For example, for any pixel, according to the pixel backlight characteristic value of the pixel, non-linear pixel compensation can be used to determine the compensation factor of the pixel. The formula is expressed as follows:

In formula (7), 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 ; γ1 is a fixed value, for example, the value is 2.2. Through formula (7), the compensation factor of each pixel can be obtained.

In some embodiments, the pixels can be compensated directly according to the compensation factor obtained by formula (7).

In other embodiments, 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.

Figure 16 is a flow chart of an optional implementation method of step S133 in an embodiment of the present disclosure. As shown in Figure 16, in some embodiments, 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.

In step S1331, the first compensation factor of the pixel can be obtained through formula (7).

In 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).

In 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.

After obtaining the compensation factor of each pixel point through step S133, in 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. Specifically, 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.

In this way, pixel compensation for the target image pixels can be achieved, thereby improving the display effect of the image.

Figure 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.

That is to say, if the display conditions of the target image are met, 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.

In the embodiment of the present disclosure, 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.

In some embodiments, 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. For example, in 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.

Based on the same inventive concept, embodiments of the present disclosure also provide a display control device, which can be used to implement the display control method provided in the previous embodiments. 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 .

In some embodiments, 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.

In some embodiments, 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.

In some embodiments, 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.

In some embodiments, 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.

Among them, 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, and T represents the target image. The number of pixels in the image, S represents the preset proportion threshold, 0.5≤S<1.

In some embodiments, 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.

Wherein, 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 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.

In some embodiments, 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, 0≤F ₀ ≤ _imax .

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, and BLR ₂ is the pixel gray of all pixels in the backlight partition. The second eigenvalue of degree level represents the value.

In some embodiments, the filtering module 12 includes: a filter coefficient determination unit 121 and a filter processing unit 122.

Among them, 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.

In some embodiments, 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, 0 ≤ F ₀ ≤ _{i max} .

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.

In some embodiments, 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. A backlight characteristic value. Alternatively, 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.

In some embodiments, 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.

In some embodiments, 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, 0≤F ₀ ≤i _max , 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, and I _max represents the preset maximum backlight gray level. class.

In some embodiments, m takes a value of 5.

In some embodiments, the backlight assembly includes a driving component and backlight lamps of multiple backlight partitions, and 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.

In some embodiments, 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.

Wherein, 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.

For the specific description of each of the above modules and units, please refer to the corresponding content in the previous embodiments, and will not be described again here.

Based on the same inventive concept, embodiments of the present disclosure also provide a display device. Figure 20 is a structural block diagram of a display device provided by an embodiment of the present disclosure. As shown in FIG. 20 , 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.

In some embodiments, 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. As shown in Figure 21, 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. When the one or more programs are executed by the one or more processors, 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.

Among them, 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.

In some embodiments, 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.

In some embodiments, the one or more processors 101 include a field programmable gate array FPGA.

According to embodiments of the present disclosure, a computer-readable medium is also provided. The 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.

In particular, according to embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, 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. In such embodiments, the computer program may be downloaded and installed from the network via the communications component, and/or installed from removable media. When the computer program is executed by a central processing unit (CPU), the above-described functions defined in the system of the present disclosure are performed.

It should be noted that 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 Programmed 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. In this disclosure, 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. In the present disclosure, 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.

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operations of possible implementations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, 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. It should also be noted that, in some alternative implementations, 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. It will also be noted that 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. For example, it can be described as: 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. For example, a receiving circuit can also be described as "receiving video signals".

It can be understood that the above embodiments are only exemplary embodiments adopted to illustrate the principles of the present disclosure, but the present disclosure is not limited thereto. For those of ordinary skill in the art, various modifications and improvements can be made without departing from the spirit and essence of the disclosure, and these modifications and improvements are also regarded as the protection scope of the disclosure.

Claims

A display control method, characterized by including:

Obtain the brightness and darkness feature value of the target image, and the brightness and darkness feature value represents the brightness and darkness degree of the target image;

According to the pixel gray levels of the pixels corresponding to the multiple backlight partitions of the backlight assembly of the display device, partition features are extracted for the pixels of the target image, and each partition feature is determined based on the partition feature extraction results and the brightness and darkness feature values. The first backlight characteristic value of the backlight partition;

Determine the backlight drive value of each backlight partition according to the first backlight characteristic value of the plurality of backlight partitions, so that the backlight assembly emits backlight corresponding to the target image based on the backlight drive value;

According to the first backlight characteristic values of the plurality of backlight partitions, 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 display control method according to claim 1, wherein the step of obtaining the brightness and darkness characteristic value of the target image includes:

The brightness feature value of the target image is determined based on the first pixel data of each pixel point in the target image.
The display control method according to claim 2, characterized in that the step of determining the brightness and darkness characteristic value of the target image according to the pixel gray level of each pixel in the target image includes:

Generate a grayscale histogram of the target image according to the pixel gray level of each sub-pixel included in the first pixel data of each pixel in the target image;

The brightness and darkness feature values of the target image are determined according to the grayscale histogram.
The display control method according to claim 3, wherein the step of determining the brightness and darkness characteristic value of the target image according to the grayscale histogram includes:

According to the number of pixel points of each pixel gray level recorded in the grayscale histogram, it is determined that the The minimum N value is taken, and the determined N is used as the feature value of the brightness and darkness degree;

Among them, 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, and T represents the above The number of pixels in the target image, S represents the preset proportion threshold, 0.5≤S<1.
The display control method according to claim 1, characterized in that, based on the pixel gray levels of the pixels corresponding to the plurality of backlight partitions of the backlight assembly of the display device, partition feature extraction is performed on the pixels of the target image. The steps include:

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 display control method according to claim 5, characterized in that the first characteristic representative value of the pixel gray level of the pixel point in the backlight partition is the value of the pixel gray level of the pixel point in the backlight partition. average value;

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 display control method according to claim 5 or 6, characterized in that the step of determining the first backlight feature values of the plurality of 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;

For any backlight partition, determine the first backlight 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;

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, and BLR 2 is the backlight The second characteristic representative value of the pixel gray level of all pixels in the partition.
The display control method according to claim 7, characterized in that the weighting coefficient P determined according to the feature value of the brightness and darkness degree 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 display control method according to claim 1, characterized in that, after the step of determining the first backlight characteristic value of each backlight partition according to the partition characteristic extraction result and the brightness and darkness characteristic value, and after the step of determining the first backlight characteristic value of each backlight partition according to the The step of determining the backlight driving value of each backlight partition based on the first backlight characteristic values of the plurality of backlight partitions and the first step of determining the first backlight characteristic value of each pixel of the target image according to the first backlight characteristic values of the plurality of backlight partitions. Before the step of separately compensating pixel data, it 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 backlight partitions.
The display control method according to claim 9, characterized in that the step of filtering the first backlight characteristic values of the plurality of backlight partitions to obtain the updated first backlight characteristic value of each backlight partition, include:

For any backlight partition, determine the updated first backlight characteristic of the backlight partition 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. value;

Wherein, the adjacent partitions include backlight partitions whose partition distance from the backlight partition is less than or equal to a partition distance threshold.
The display control method according to claim 10, characterized in that according to the 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, before the step of determining the updated first backlight characteristic value of the backlight partition, also includes:

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 display control method according to claim 11, characterized in that the filter coefficient Q determined according to the feature value of the brightness and darkness degree 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 .
The display control method according to any one of claims 10 to 12, characterized in that, 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 a predetermined filter The coefficient, which determines the first backlight characteristic value after the backlight partition is updated, includes:

Determine a second backlight characteristic value of the adjacent partition according to the first backlight characteristic value of the adjacent partition and the filter coefficient;

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.

or,

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;

The larger value of the first backlight characteristic value of the backlight partition and the second backlight characteristic value of the target adjacent partition is determined as the updated first backlight characteristic value of the backlight partition.
The display control method according to claim 1, characterized in that according to the multiple The step of determining the backlight drive value of each backlight partition based on the first backlight characteristic value of each backlight partition includes:

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, and I max represents the preset Set the maximum backlight gray level.
The display control method according to claim 14, characterized in that, 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, it 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 display control method according to claim 15, characterized in that the driving adjustment coefficient W determined according to the brightness and darkness characteristic value is:

F 0 represents the feature value of the brightness and darkness degree, 0 ≤ F 0 ≤ i max , i max represents the preset maximum pixel gray level, m is the preset constant coefficient and m ≥ 2.
The display control method according to claim 16, wherein m takes a value of 5.
The display control method according to claim 1, wherein the backlight assembly includes a driving component and backlight lamps of the plurality of backlight partitions, and the method further includes:

When the display conditions of the target image are met, the backlight driving values of the plurality of backlight partitions and the second pixel data of each pixel point are respectively input to the driving component and the display component at the same time.
The display control method according to claim 1, wherein the first pixel data of each pixel point of the target image is compensated respectively according to the first backlight characteristic values of the plurality of backlight partitions to obtain The steps of compensating the second pixel data include:

For any backlight partition, determine the backlight of the 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. Diffusion characteristic value; wherein the diffusion partition includes a backlight partition whose partition distance from the backlight partition is less than or equal to a diffusion distance threshold;

According to the backlight diffusion characteristic values of the plurality of backlight partitions, a preset interpolation algorithm is used to obtain the pixel backlight characteristic value of each pixel point of the target image;

For any pixel, determine the compensation factor of the pixel using nonlinear pixel compensation based on the pixel backlight characteristic value of the pixel;

According to the compensation factor, 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.
A display control device, characterized in that it includes:

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. backlight;

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 third Two pixel data for the display component of the display device to display the target image based on the second pixel data.
A display device, characterized in that it includes: a backlight component, a display component and a display control device. The display control device is connected to the backlight component and the display component respectively. The display control device adopts the method described in claim 20 display control device;

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.
An electronic device, characterized by including:

one or more processors;

Memory, used to store one or more programs;

When the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the display control method as described in any one of claims 1 to 19.
The electronic device of claim 22, wherein the processor includes a field programmable gate array (FPGA).
A computer-readable medium having a computer program stored thereon, wherein the computer program implements the steps in the display control method as claimed in any one of claims 1 to 19 when executed by a processor.