Backlight partition design evaluation method and device, electronic equipment and storage medium

Abstract

This invention discloses a method, apparatus, electronic device, and storage medium for evaluating backlight partition design, applicable to the field of display technology. By acquiring multiple backlight partition parameters to be evaluated from a backlight display device and the reconstructed light field distribution data corresponding to each backlight partition parameter, the simulated brightness data of each reconstructed light field distribution data under the reconstructed light field on an active display device is determined. Based on the simulated brightness data of each reconstructed light field distribution data under the reconstructed light field on the active display device, a simulated image of each reconstructed light field distribution data under the reconstructed light field on the active display device is generated. Based on the evaluation index of the simulated image of each reconstructed light field distribution data under the reconstructed light field on the active display device, the evaluation index corresponding to each backlight partition parameter is obtained. This invention does not require prototype testing, improving the efficiency of backlight partition design evaluation, reducing the cost of partition design evaluation, and improving the accuracy of backlight partition parameter evaluation.

Description

Technical Field

[0001] This invention relates to the field of display technology, and more specifically to a method, apparatus, electronic device, and storage medium for evaluating backlight zoning design. Background Technology

[0002] When designing the backlight zones of a full-array backlit display (such as a mini-LED display), factors such as the mini-LED lamp model, luminous characteristics, the total number of rows and columns of LEDs in the backlight module, the number of rows and columns in each zone, and OD (optical distance) will all affect the final display effect.

[0003] Currently, in the design and manufacturing process of displays, the size and number of backlight zones are mainly determined by prototype testing. The verification process, from optical design to prototype production and testing, takes a long time. If the results do not meet the requirements, the design needs to be redesigned, which consumes a lot of resources (prototype production) and time. Furthermore, there is a lack of mature zone design guidelines, which places high demands on the professional experience of backlight designers and makes it difficult to achieve the optimal number of zones for display screens at the best cost-performance ratio. Summary of the Invention

[0004] This invention provides a method, apparatus, electronic device, and storage medium for evaluating backlight zoning design, thereby improving the efficiency and accuracy of display zoning design evaluation.

[0005] On one hand, embodiments of the present invention provide a backlight zoning design evaluation method, the method comprising:

[0006] Acquire multiple backlight zone parameters to be evaluated from the backlight display device and the reconstructed light field distribution data corresponding to each backlight zone parameter;

[0007] Determine the simulated brightness data of the image to be displayed under the light field reconstructed on the active display device using the reconstructed light field distribution data;

[0008] Based on the simulated brightness data under the reconstructed light field on the active display device using the reconstructed light field distribution data, generate a simulated image under the reconstructed light field on the active display device using the reconstructed light field distribution data.

[0009] Based on the evaluation metrics of the simulated image under the reconstructed light field on the active display device using the reconstructed light field distribution data, the evaluation metrics corresponding to each of the backlight partition parameters are obtained.

[0010] On the other hand, embodiments of the present invention provide a backlight zoning design evaluation device, the device comprising:

[0011] The light field reconstruction module acquires multiple backlight zone parameters to be evaluated from the backlight display device and the reconstructed light field distribution data corresponding to each backlight zone parameter.

[0012] A brightness fitting module is used to determine the simulated brightness data of the image to be displayed under the light field reconstructed on the active display device using the reconstructed light field distribution data;

[0013] The image simulation module is used to generate a simulated image of the light field reconstructed on the active display device based on the simulated brightness data under the light field reconstructed by the reconstructed light field distribution data on the active display device.

[0014] The evaluation module is used to obtain the evaluation index corresponding to each of the backlight partition parameters based on the evaluation index of the simulated image under the reconstructed light field on the active display device according to the reconstructed light field distribution data.

[0015] On the other hand, embodiments of the present invention provide an electronic device, including a memory and a processor; the memory stores an application program, and the processor is used to run the application program in the memory to perform the operations in the backlight zoning design evaluation method described above.

[0016] On the other hand, an embodiment of the present invention provides a storage medium storing a plurality of instructions adapted for loading by a processor to execute the steps in the aforementioned backlight partition design evaluation method.

[0017] This invention provides a method, apparatus, electronic device, and storage medium for evaluating backlight partition design, targeting the display technology field. By acquiring multiple backlight partition parameters to be evaluated from a backlight display device and the reconstructed light field distribution data corresponding to each backlight partition parameter, simulated brightness data of the image to be displayed under the light field reconstructed on an active display device using each reconstructed light field distribution data is determined. Based on the simulated brightness data under the light field reconstructed on the active display device using each reconstructed light field distribution data, simulated images under the light field reconstructed on the active display device using each reconstructed light field distribution data are generated. Based on the evaluation index of the simulated images under the light field reconstructed on the active display device using each reconstructed light field distribution data, evaluation indices corresponding to each backlight partition parameter are obtained. This invention, based on the reconstructed light field distribution data corresponding to the backlight partition parameters of the backlight display device, performs brightness fitting on an active light-emitting device to generate simulated images under the light field reconstructed on the active display device using each reconstructed light field distribution data. Based on the evaluation index of the simulated images, evaluation indices corresponding to each backlight partition parameter are obtained. This eliminates the need for prototype testing, improving the efficiency of backlight partition design evaluation while reducing the cost of partition design evaluation. Furthermore, by evaluating backlight partition parameters based on quantitative indices, the accuracy of backlight partition parameter evaluation is improved. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a schematic diagram of the backlight zoning design evaluation system provided in an embodiment of the present invention;

[0020] Figure 2 This is a flowchart illustrating the backlight zoning design evaluation method provided in an embodiment of the present invention;

[0021] Figure 3 This is a schematic diagram of the backlight zoning design evaluation device provided in an embodiment of the present invention;

[0022] Figure 4 This is a schematic diagram of the structure of the electronic device provided in an embodiment of the present invention. Detailed Implementation

[0023] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0024] To facilitate understanding of the technical solution of the present invention, the backlight zoning design evaluation method, apparatus, electronic device and storage medium provided by the present invention will be introduced below in conjunction with practical applications.

[0025] The technical solution of the present invention will be described in detail below with reference to specific embodiments.

[0026] like Figure 1 , Figure 1 This is a schematic diagram of the backlight zoning design evaluation system provided in an embodiment of the present invention. The backlight zoning design evaluation system shown includes a backlight module unit, a brightness imager, a simulation platform, a backlight display device, and an active display device.

[0027] The backlight module unit is the smallest backlight partition, which includes LED units and a scattering film. The model of the LED units and the scattering film in the backlight module unit are the same as those in the backlight display device. The backlight module unit is used to form the light field of the backlight unit. The brightness imager is connected to the simulation platform to collect the light field of the backlight module unit and obtain the light field intensity information of the backlight module unit.

[0028] A backlight display device refers to a display device for which a backlight zone design scheme is to be determined. In some implementations, the backlight display device may be an LCD display device.

[0029] Active display devices refer to display devices that can display images without a backlight module, including but not limited to OLED (Organic Light-Emitting Diode), TV, mini / micro-LED and other devices.

[0030] The brightness imager can be a CA-2000 brightness meter, a CA-400 brightness meter, or an industrial camera.

[0031] The simulation platform is connected to a brightness imager, a backlight display device, and an active display device, respectively. It is used to acquire multiple backlight zone parameters to be evaluated from the backlight display device and the reconstructed light field distribution data corresponding to each backlight zone parameter. It determines the simulated brightness data under the reconstructed light field on the active display device based on the reconstructed light field distribution data. It generates a fitted image based on the simulated brightness data under the reconstructed light field on the active display device and sends the fitted image to the active display device so that the active display device displays the fitted image. It also captures an image of the fitted image displayed on the active display device to obtain the simulated image under the reconstructed light field on the active display device. Based on the evaluation index of the simulated image under the reconstructed light field on the active display device, it obtains the evaluation index corresponding to each backlight zone parameter.

[0032] The simulation platform can be a computer, an industrial computer, a server, a cloud server, etc.

[0033] based on Figure 1 The backlight zoning design evaluation system shown in this invention provides a backlight zoning design evaluation method, such as... Figure 2 As shown, Figure 2 This is a schematic flowchart of the backlight zoning design evaluation method provided in an embodiment of the present invention. The backlight zoning design evaluation method shown can be applied to... Figure 1 The simulation platform in the backlight zoning design evaluation system shown, and the backlight zoning design evaluation method shown, can also be applied to electronic devices with data processing capabilities, such as computer equipment or terminal devices. Specifically, Figure 2 The backlight zoning design evaluation method shown includes at least steps 210 to 240:

[0034] Step 210: Obtain multiple backlight zone parameters to be evaluated for the backlight display device and the reconstructed light field distribution data corresponding to each backlight zone parameter.

[0035] Backlight zoning parameters include the number of rows and columns of the backlight zoning units, and the resolution of the backlight display device.

[0036] In some implementations, the light pattern data of the backlight partition unit can be collected, and the light pattern data of the backlight partition unit can be adjusted and corrected according to the number of rows and columns of each backlight partition parameter to obtain the reconstructed light field distribution data corresponding to each backlight partition parameter.

[0037] The reconstructed light field distribution data includes the coordinates of each backlight partition unit in the backlight partition, as well as the light pattern data.

[0038] The light pattern data of the backlight partition unit includes intensity information, brightness information, and grayscale information. In some embodiments, the light field intensity information of the backlight partition unit can be obtained by acquiring an image of the backlight partition unit when it is emitting light using a brightness imager.

[0039] Optionally, the coordinates of each backlight partition unit in the backlight partition parameter can be obtained based on the number of rows and columns of each backlight partition parameter. Then, the light field can be reconstructed based on the coordinates of each backlight partition unit in the backlight partition parameter and the light pattern data of the backlight partition unit to obtain the reconstructed light field distribution data corresponding to the backlight partition parameter.

[0040] Step 220: Determine the simulated brightness data of each reconstructed light field distribution data of the image to be displayed under the reconstructed light field on the active display device.

[0041] Simulated brightness data can be the brightness on the active display device when the reconstructed light field distribution data under the backlight display device is mapped onto the active display device; simulated brightness data can be the brightness when the active display device simulates the reconstructed light field distribution data under the backlight display device.

[0042] In some implementations, the mapping light pattern data of each backlight partition unit in the reconstructed light field distribution data on the active display device can be obtained based on the mapping relationship between the active display device and the backlight display device. Based on the mapping light pattern data of each backlight partition unit on the active display device, the simulated brightness data of each reconstructed light field distribution data under the reconstructed light field on the active display device can be obtained.

[0043] Optionally, the mapping relationship between the active display device and the backlight display device can be a mapping model between the active display device and the backlight display device, which includes, but is not limited to, mathematical models, machine learning models, and neural network models.

[0044] In some implementations, fitted light pattern data that matches the light pattern data of each backlight partition unit in the reconstructed light field distribution data can be found from the active light field coding data of the active display device based on each reconstructed light field distribution data. Simulated brightness data of each reconstructed light field distribution data under the reconstructed light field on the active display device can be obtained based on the fitted light pattern data of each backlight partition unit in each reconstructed light field distribution data.

[0045] Optionally, the light field brightness encoding data of the active display device includes multiple brightness values ​​and the light pattern data corresponding to each brightness value.

[0046] In some implementations, for each reconstructed light field distribution data, the intensity code corresponding to each backlight partition unit can be obtained based on the light pattern data of each backlight partition unit in the light field distribution data. Based on the brightness code corresponding to each backlight partition unit, a fitted intensity code matching the intensity code of each backlight partition unit in the reconstructed light field distribution data can be found from the active intensity code data of the active display device. Based on the fitted intensity code of each backlight partition unit in the reconstructed light field distribution data, the simulated brightness data of each reconstructed light field distribution data under the reconstructed light field on the active display device is obtained. The active intensity code data of the active display device includes multiple brightness values ​​of the active display device and the intensity code corresponding to each brightness value.

[0047] Optionally, the light pattern data of each backlight partition unit in the light field distribution data can be hashed, binary encoded, and normalized to obtain the intensity code corresponding to each backlight partition unit.

[0048] Step 230: Generate a simulated image of the light field reconstructed on the active display device based on the simulated brightness data of each reconstructed light field distribution data under the light field reconstructed on the active display device.

[0049] The simulated image can be an image simulated on the active display device based on the reconstructed light field distribution data, or it can be an image output by the active display device when it displays the image to be displayed based on the reconstructed light field distribution data; the simulated image can also be an image captured by the active display device when it displays the image to be displayed based on the reconstructed light field distribution data.

[0050] In some implementations, for the simulated brightness data under the reconstructed light field distribution data on the active display device, an image is generated based on the brightness value and grayscale value at each coordinate position in the simulated brightness data, thereby generating a simulated image under the reconstructed light field distribution data on the active display device.

[0051] In some implementations, for the simulated brightness data under the reconstructed light field distribution data on the active display device, an image is generated based on the brightness value and grayscale value at each coordinate position in the simulated brightness data, generating a fitted image under the reconstructed light field distribution data on the active display device, controlling the active display device to display the fitted image, and obtaining the display image when the active display device displays the fitted image, thus obtaining the simulated image under the reconstructed light field distribution data on the active display device.

[0052] Step 240: Based on the evaluation index of the simulated image under the reconstructed light field on the active display device using the reconstructed light field distribution data, obtain the evaluation index corresponding to each backlight zone parameter.

[0053] Optionally, evaluation indicators include objective evaluation indicators and subjective evaluation indicators.

[0054] In some implementations, the image quality of the simulated image reconstructed under the light field on an active display device based on the reconstructed light field distribution data can be evaluated using objective evaluation metrics to obtain objective evaluation results. These objective evaluation metrics include, but are not limited to, structural consistency metrics, similarity metrics, and information entropy.

[0055] In some implementations, the image quality of the simulated image under the reconstructed light field on the active display device can be evaluated using subjective evaluation metrics to obtain subjective evaluation results. These subjective evaluation metrics include, but are not limited to, human visual perception and peak signal-to-noise ratio in the color space.

[0056] In some implementations, simulated images of the reconstructed light field distribution data under the light field on the active display device can be sent to multiple test terminals, so that the testers corresponding to each test terminal can score the simulated images of the reconstructed light field distribution data under the light field on the active display device. Based on the scores of the testers corresponding to each test terminal for the simulated images of the reconstructed light field distribution data under the light field on the active display device returned by each test terminal, a subjective evaluation result is obtained.

[0057] In some implementations, the evaluation results of the simulated image under the reconstructed light field on the active display device can be obtained based on the average value and weighted average value between the objective evaluation results and the subjective evaluation results. Based on the evaluation results of the simulated image under the reconstructed light field on the active display device and the backlight partition parameters corresponding to each reconstructed light field distribution data, the evaluation index corresponding to each backlight partition parameter can be obtained.

[0058] Optional evaluation metrics include similarity and image quality.

[0059] In some implementations, similarity metrics such as structural consistency index, similarity index, and information entropy can be used to measure the similarity between the image to be displayed and each simulated image to obtain the similarity between each simulated image and the image to be displayed. Human visual quality assessment can be performed on each simulated image to obtain the image quality evaluation index of each displayed image. Based on the similarity and image quality evaluation index, the evaluation result of the simulated image under the reconstructed light field distribution data on the active display device can be obtained. Based on the evaluation result of the simulated image under the reconstructed light field distribution data on the active display device and the backlight partition parameters corresponding to each reconstructed light field distribution data, the evaluation index corresponding to each backlight partition parameter can be obtained.

[0060] In some implementations, after obtaining the evaluation index corresponding to each backlight partition parameter, the backlight partition parameters are sorted according to the evaluation index corresponding to each backlight partition parameter and in descending order of the index. A preset number of candidate target backlight partition parameters are selected from the sorted backlight partition parameters, and the candidate backlight partition parameters are sent to the designer so that the designer can determine the final target backlight partition parameters of the backlight display device based on the candidate backlight partition parameters.

[0061] In some implementations, after obtaining the evaluation index corresponding to each backlight zone parameter, the backlight zone parameter with the highest evaluation index is determined as the target backlight zone parameter of the backlight display device based on the evaluation index corresponding to each backlight zone parameter.

[0062] In some implementations, after determining the target backlight partition parameters of the backlight display device, the backlight partition of the backlight display device is performed according to the target backlight partition parameters of the backlight display device.

[0063] The backlight zoning design evaluation method provided in this invention is based on the reconstructed light field distribution data corresponding to the backlight zoning parameters of the backlight display device. Brightness fitting is performed on the active light emission device to generate simulated images of the reconstructed light field distribution data under the light field on the active display device. Based on the evaluation index of the simulated image, the evaluation index corresponding to each backlight zoning parameter is obtained. This method does not require prototype testing, thus improving the efficiency of backlight zoning design evaluation and reducing the cost of zoning design evaluation. Furthermore, the method evaluates the backlight zoning parameters based on quantitative indexes, thereby improving the accuracy of backlight zoning parameter evaluation.

[0064] In some implementations, to improve the reliability of the evaluation indicators corresponding to the backlight zoning parameters, the backlight module parameters of the backlight module unit can be determined based on the equipment information of the backlight display device. The backlight module parameters include the model, batch, and size information of the LEDs in the backlight module unit. Based on the size parameters of the backlight display device, the zoning information, the physical actual horizontal and vertical length information of the backlight beam pattern imaging in the world coordinate system, and the backlight module parameters of the backlight module unit, multiple backlight zoning parameters to be evaluated for the backlight zoning device can be determined.

[0065] The dimensional parameters include, but are not limited to, the physical dimensions, length, and width of the backlight display device. The partition information includes partition size information. The device information for the backlight display device includes, but is not limited to, the model and batch number of the monitor within the backlight display device.

[0066] In some implementations, to improve the efficiency of backlight zone design evaluation, the screen parameters of the backlight display device and the screen parameters of the active display device can be obtained in advance to obtain the mapping relationship between the brightness code and the brightness of the backlight display device, as well as the brightness code data of the active display device.

[0067] The screen parameters include the W (white), R (red), G (green), and B (blue) encoded values ​​for different colors, as well as the brightness corresponding to each encoded value.

[0068] Optionally, the W (white), R (red), G (green), and B (blue) coded values ​​of the backlight display device under different colors, along with the corresponding brightness values, can be normalized to obtain the backlight brightness coded data of the backlight display device. The backlight brightness code of the backlight display device includes the brightness coded values ​​for different colors and the corresponding brightness values ​​for each brightness coded value. The coded values ​​can be grayscale or intensity. It is understood that the brightness coded values ​​are normalized coded values.

[0069] Optionally, the active brightness encoding data of the active display device can be obtained by normalizing the encoding values ​​of W (white), R (red), G (green), and B (blue) for different colors and the corresponding brightness values. Specifically, the active brightness encoding data includes the brightness encoding values ​​of W (white), R (red), G (green), and B (blue) for different colors and the corresponding brightness values.

[0070] In some implementations, screen parameters sent by external devices can be obtained. Alternatively, the screen parameters of the backlight display device can be obtained by querying pre-stored device screen parameter data using the device identifier of the backlight display device, and the screen parameters of the active display device can be obtained by querying pre-stored device screen parameter data using the device identifier of the active display device. The pre-stored device screen parameter data includes multiple device identifiers and the screen parameters corresponding to each device identifier. This pre-stored device screen parameter data can be stored in the local memory of the electronic device or in a backend server, and the electronic device obtains the screen parameters by accessing the backend server.

[0071] In some embodiments, screen parameters can be acquired using a luminance imager. For example, taking a backlight display device as an example, the backlight display device can be controlled to display color images of different grayscale levels. The luminance imager acquires the luminance values ​​of the images of the different grayscale levels displayed by the backlight display device to obtain screen parameters. For instance, taking red as an example, the backlight display device can be controlled to display red images of different grayscale levels. The luminance imager acquires the luminance values ​​of the images of the different grayscale levels displayed by the backlight display device. Based on the grayscale of the different grayscale levels of the red images and the luminance values ​​of the images of the different grayscale levels displayed by the backlight display device, the screen parameters are obtained. The luminance imager can be a CA-2000 luminance meter, a CA-400 luminance meter, or an industrial camera.

[0072] In some optional implementations, the light field intensity information of the preset backlight module unit can be obtained by acquiring the image of the backlight module unit, and the backlight light field can be reconstructed based on the light field intensity information of the preset backlight module unit and the parameters of each backlight partition to obtain the reconstructed light field distribution data corresponding to each backlight partition parameter.

[0073] Optionally, image interpolation can be performed on the acquired images of the backlight module units based on the size information of the backlight display device, expanding the acquired images of the backlight module units into a device light pattern data image that matches the size information of the backlight display device; coordinate information of each backlight module unit in the reconstructed light field can be obtained based on the backlight partition parameters and the image size of the device light pattern data image; light field intensity information of each backlight module unit in the reconstructed light field can be obtained based on the coordinate information of each backlight module unit and the preset light field intensity information of the backlight module unit; and reconstructed light field distribution data corresponding to the backlight partition parameters can be obtained based on the coordinate information and light field intensity information of each backlight module unit.

[0074] For example, the center of the reconstructed light field distribution can be determined by the brightness peak coordinates of the preset backlight module units in the device light pattern data image. The position information of the reconstructed light field can be obtained by the number of rows and columns of the backlight module units in the backlight partition parameters. The coordinate information of each backlight module unit in the reconstructed light field can be determined by the position information of the reconstructed light field. Based on the coordinate information of each backlight module unit in the reconstructed light field and the light field intensity information of the preset backlight module units, the light field intensity information corresponding to each coordinate information can be determined, and the reconstructed light field distribution data corresponding to the backlight partition parameters can be obtained.

[0075] The location information of the reconstructed light field includes the number of backlight module units included in the reconstructed light field, as well as the coordinate information of each backlight module unit.

[0076] Specifically, based on the coordinate information of each backlight module unit in the reconstructed light field and the light field intensity information of the preset backlight module unit, the light field intensity information corresponding to each coordinate information is determined. This can be done by determining the light field intensity information of the preset backlight module unit as the light field intensity information of the backlight module unit corresponding to each coordinate information, thereby obtaining the reconstructed light field distribution data corresponding to the backlight partition parameters.

[0077] Understandably, based on the coordinate information of each backlight module unit in the reconstructed light field and the light field intensity information of the preset backlight module unit, the light field intensity information of each backlight module unit corresponding to the reconstructed light field distribution data corresponding to the backlight partition parameters is the same.

[0078] Considering that when the light field intensity information of each coordinate information corresponding to the backlight module unit in the reconstructed light field distribution data is the same, it will increase the difficulty of evaluating the backlight partition parameters. Based on this, in order to reduce the difficulty of evaluating the backlight partition parameters, the initial reconstructed light field distribution data corresponding to the backlight partition parameters can be obtained based on the coordinate information of each backlight module unit in the reconstructed light field and the preset light field intensity information of the backlight module unit. The initial reconstructed light field distribution data is then corrected based on the pixel data of each pixel in the image to be displayed, so as to obtain the reconstructed light field distribution data when the image to be displayed is displayed on the backlight display device with the backlight partition parameters.

[0079] Understandably, the dimension of the reconstructed light field distribution data is the same as the dimension of the image to be displayed. That is, each backlight module unit in the reconstructed light field distribution data corresponds to a set of pixel points, and each set of pixel points includes at least one pixel point.

[0080] Specifically, the light field reconstruction method based on the image to be displayed and the backlight partition parameters includes steps 211 to 214:

[0081] Step 211: For each backlight partition parameter, the backlight light field is reconstructed based on the light field intensity information of the preset backlight module unit and the backlight partition parameter to obtain the initial reconstructed light field distribution data corresponding to the backlight partition parameter.

[0082] In some implementations, the light field reconstruction method described above can be used to acquire the light field intensity information of a preset backlight module unit by acquiring an image of the backlight module unit, and then perform backlight light field reconstruction based on the light field intensity information of the preset backlight module unit and the backlight partition parameters to obtain the initial reconstructed light field distribution data corresponding to the backlight partition parameters.

[0083] Step 212: Based on the backlight partitioning parameters, the pixels of the image to be displayed are partitioned to obtain multiple image partitions.

[0084] Optionally, the pixels of the image to be displayed can be partitioned according to the number of rows and columns of the backlight partition unit in the backlight partition parameters. The image to be displayed can be divided into image partitions with the same number of columns. Each image partition corresponds to a backlight module unit, and each image partition includes at least one pixel.

[0085] Step 213: Based on the brightness of the pixels in each image partition and the preset coefficient, obtain the light field intensity coefficient of the backlight partition parameter.

[0086] The preset coefficient is used to control the light field intensity of the image to be displayed.

[0087] In some implementations, for each image partition, the light field intensity sub-coefficient of the image partition can be obtained based on one of the average brightness, maximum brightness, and median brightness of the pixels in the image partition, as well as a preset coefficient. The light field intensity sub-coefficients of each image partition are combined to obtain the light field intensity coefficient of the backlight partition parameter.

[0088] In other implementations, in order to achieve equalization of the reconstructed light field distribution data, for each image partition, equalization is performed based on the maximum and average brightness of the pixels in the image partition to obtain the equalized brightness of the pixels in the image partition. The light field intensity sub-coefficient of the image partition is obtained by using the equalized brightness of the pixels in the image partition and a preset coefficient. The light field intensity sub-coefficients of each image partition are combined to obtain the light field intensity coefficient of the backlight partition parameters.

[0089] For example, equalization can be performed based on the maximum and average brightness of pixels within the image partition. The equal brightness of pixels within the image partition is obtained by combining A * average brightness + (1-A) * maximum brightness. Here, A is a preset weight corresponding to the average brightness. The light field intensity sub-coefficient of the image partition is obtained by multiplying the equal brightness of pixels within the image partition by a preset coefficient. The light field intensity sub-coefficients of each image partition are combined to obtain the light field intensity coefficient of the backlight partition parameters.

[0090] Step 214: Perform light field correction based on the light field intensity coefficient of the backlight partition parameter and the initial reconstructed light field distribution data corresponding to the backlight partition parameter to obtain the reconstructed light field distribution data corresponding to the backlight partition parameter.

[0091] In some implementations, the initial reconstructed light field distribution data corresponding to the backlight partition parameter can be multiplied by the light field intensity coefficient of the backlight partition parameter to correct the light field and obtain the reconstructed light field distribution data corresponding to the backlight partition parameter.

[0092] In some implementations, the initial reconstructed light field distribution data corresponding to the backlight partition parameter can be corrected by adding the initial reconstructed light field distribution data corresponding to the backlight partition parameter to the light field intensity coefficient of the backlight partition parameter, so as to obtain the reconstructed light field distribution data corresponding to the backlight partition parameter.

[0093] In some optional implementations, to improve the reliability of the final evaluation results of the backlight partition parameters, the initial reconstructed light field distribution data of each backlight partition parameter can be obtained based on step 211 above, the initial light field intensity coefficient of each backlight partition parameter can be obtained according to steps 212 to 213 above, the initial light field intensity coefficient of each backlight partition parameter can be obtained by smoothing the initial light field intensity coefficient of each backlight partition parameter, and the reconstructed light field distribution data corresponding to each backlight partition parameter can be obtained according to step 214 based on the light field intensity coefficient of each backlight partition parameter and the initial reconstructed light field distribution data.

[0094] Optionally, the initial light field intensity coefficients of each backlight zone parameter can be smoothed using a smoothing filter to remove noise from the initial light field intensity coefficients of each backlight zone parameter. The smoothing filter includes, but is not limited to, median filters, low-pass filters, and Gaussian filters.

[0095] In some optional implementations, after determining the reconstructed light field distribution data corresponding to each backlight partition parameter, the brightness of the reconstructed light field distribution data corresponding to each backlight partition parameter is adjusted according to the screen parameters of the active display device, so as to obtain the simulated brightness corresponding to each backlight module unit in each reconstructed light field distribution data when the active display device displays the image to be displayed under the backlight display device with each backlight partition parameter.

[0096] Optionally, the brightness can be adjusted based on the brightness encoding data corresponding to the parameters of each backlight zone, according to the brightness of the active display device.

[0097] Optionally, the brightness can be adjusted based on the brightness encoding data corresponding to the active display device and the reconstructed light field distribution data corresponding to the backlight zone parameters using a preset brightness fitting model. The brightness fitting model can be a machine learning model or a neural network model.

[0098] Optionally, the brightness of the reconstructed light field distribution data corresponding to each backlight zone parameter can be adjusted according to the screen parameters of the backlight display device to obtain the initial simulated brightness of each backlight module unit in each reconstructed light field distribution data when the image to be displayed is displayed under each backlight zone parameter on the backlight display device. Based on the screen parameters of the active light emission device, the initial simulated brightness of each backlight module unit in each reconstructed light field distribution data is fitted to obtain the simulated brightness data of each reconstructed light field distribution data under the reconstructed light field on the active display device.

[0099] Specifically, the method for determining simulated brightness data based on the screen parameters of the backlight display device and the screen parameters of the active display device includes steps 221 to 224:

[0100] Step 221: Determine the maximum grayscale brightness value on the backlight display device for each reconstructed light field distribution data.

[0101] In some implementations, the maximum grayscale brightness can be the brightness value corresponding to the maximum grayscale value of the image to be displayed on the backlight display device.

[0102] Optionally, the image to be displayed can be decomposed into color channels to obtain a red channel image, a green channel image, and a blue channel image. For each color channel image, the maximum gray level value is determined based on the gray level value corresponding to the pixel in the color channel image. This maximum gray level value is used as the target brightness encoding value. Based on the backlight brightness encoding data of the backlight display device, the brightness value corresponding to the target brightness encoding value is determined. The brightness value corresponding to the target brightness encoding value is then determined as the maximum gray level brightness value.

[0103] In other implementations, the maximum grayscale brightness can be the brightness value corresponding to the maximum grayscale value on the backlight display device.

[0104] Optionally, the maximum brightness code value for each color channel can be determined by querying the mapping relationship between the brightness code and the brightness of the backlight display device. This maximum brightness code value is the maximum grayscale value for that color channel. The brightness corresponding to the maximum brightness code value for each color channel is then determined as the maximum grayscale brightness for each color channel.

[0105] Step 222: Based on the reconstructed light field distribution data and the maximum grayscale brightness value, obtain the initial simulated brightness of the image to be displayed under the light field reconstructed on the backlight display device using the reconstructed light field distribution data.

[0106] In some implementations, the reconstructed light field distribution data can be adjusted based on the maximum grayscale brightness value to obtain the adjusted reconstructed light field distribution data. Based on the brightness code value corresponding to each backlight module unit in the adjusted reconstructed light field distribution data and the mapping relationship between the brightness code and brightness of the backlight display device, the brightness value of each backlight module unit in the adjusted reconstructed light field distribution data can be obtained. Based on the brightness value of each backlight module unit in the adjusted reconstructed light field distribution data, the initial simulated brightness under the reconstructed light field on the backlight display device can be obtained.

[0107] Optionally, the light pattern data of each backlight module unit in the reconstructed light field distribution data can be adjusted based on the maximum grayscale brightness value under each color channel to obtain the adjusted light pattern data of each backlight module unit under each color channel. Based on the adjusted light pattern data of each backlight module unit under each color channel, the adjusted reconstructed light field distribution data is obtained. For example, taking the red color channel as an example, the light pattern data of each backlight module unit in the reconstructed light field distribution data can be adjusted by (light pattern data of each backlight module unit in the reconstructed light field distribution data / maximum grayscale brightness value under the color channel).

[0108] In some implementations, considering that the backlight processing device has different transmittance for different color channels, the light pattern data of each backlight module unit in the reconstructed light field distribution data can be adjusted based on the transmittance on the backlight display device to obtain the adjusted reconstructed light field distribution data. The adjusted reconstructed light field distribution data is then adjusted again based on the maximum grayscale brightness value under each color channel to obtain the brightness value of each backlight module unit. Based on the brightness value of each backlight module unit, the initial simulated brightness under the reconstructed light field on the backlight display device is obtained.

[0109] Transmittance is used to characterize the transmittance of brightness by a backlight display device.

[0110] Specifically, the method for determining the initial simulated brightness based on transmittance and the maximum grayscale brightness value includes steps a1 to a4:

[0111] Step a1: Obtain the transmittance on the backlight display device.

[0112] In some implementations, the transmittance of the backlight display device can be obtained from pre-stored device data based on the device identifier of the backlight display device.

[0113] In some implementations, the transmittance of the backlight display device can be determined based on the reconstructed light field partition data and the maximum grayscale brightness value of each color channel on the backlight display device.

[0114] Specifically, methods for determining transmittance based on reconstructed light field zoning data and the maximum grayscale brightness value on the backlight display device include:

[0115] (1) Determine the maximum brightness value in the reconstructed light field distribution data.

[0116] (2) Based on the maximum brightness value and the maximum grayscale brightness value, the transmittance of the backlight display device is obtained.

[0117] For example, taking the red color channel as an example, the maximum brightness value in the reconstructed light field distribution data can be determined based on the light pattern data of each backlight module unit in the reconstructed light field partition data. According to the above method for determining the maximum grayscale brightness value, the maximum grayscale brightness value under the red channel is obtained. The transmittance of the backlight display device on the red color channel is obtained by (maximum grayscale brightness value under the red channel / maximum brightness value in the reconstructed light field distribution data).

[0118] Step a2: Adjust the reconstructed light field distribution data according to the transmittance to obtain the adjusted reconstructed distribution data.

[0119] In some implementations, the reconstructed light field distribution data can be adjusted by reconstructing the light field distribution data * transmittance to obtain adjusted reconstructed distribution data.

[0120] Optionally, the reconstructed light field distribution data can be adjusted by multiplying the transmittance of different color channels by the reconstructed light field distribution data to obtain the adjusted reconstructed distribution data for different color channels.

[0121] Step a3: Based on the adjusted reconstructed distribution data and the maximum grayscale brightness value, obtain the brightness encoding value of the image to be displayed under the light field reconstructed by the reconstructed light field distribution data on the backlight display device.

[0122] In some implementations, the brightness encoding value of the image to be displayed under the light field reconstructed by the reconstructed light field distribution data on the backlight display device can be obtained by (adjusted reconstructed distribution data / maximum grayscale brightness value).

[0123] Optionally, based on the adjusted reconstructed distribution data for each color channel and the brightest grayscale brightness value for different color channels, the brightness encoding value of each color channel of the image to be displayed can be obtained by (adjusted reconstructed distribution data for each color channel / brightest grayscale brightness value for different color channels) under the light field reconstructed by the reconstructed light field distribution data on the backlight display device.

[0124] Step a4: Based on the backlight brightness encoding data of the backlight display device and the brightness encoding value of the image to be displayed under the light field reconstructed by the reconstructed light field distribution data on the backlight display device, obtain the initial simulated brightness of the image to be displayed under the light field reconstructed by the reconstructed light field distribution data on the backlight display device.

[0125] In some implementations, the initial simulated brightness of the image to be displayed can be obtained by querying the backlight brightness encoding data of the backlight display device based on the brightness encoding value of each color channel of the image to be displayed under the light field reconstructed by the reconstructed light field distribution data on the backlight display device.

[0126] Step 223: Determine the target brightness value that matches the initial simulated brightness based on the active brightness encoding data corresponding to the active display device.

[0127] In some implementations, the target brightness value that matches the initial model brightness can be determined by comparing the initial simulated brightness with the brightness values ​​in the active brightness encoding data corresponding to the active display device.

[0128] Optionally, the brightness difference between each brightness in the initial simulated brightness and the active brightness encoding data corresponding to the active display device can be calculated, and the brightness value with the smallest brightness difference in the active brightness encoding data corresponding to the active display device can be determined as the target brightness value that matches the initial model brightness.

[0129] Optionally, a target brightness value matching the initial model brightness can be determined based on the initial simulated brightness of each backlight module unit under each color channel and the brightness values ​​between each brightness in the active brightness encoding data of the corresponding color channel of the active display device.

[0130] Step 224: Based on the target brightness value, obtain the simulated brightness data of the reconstructed light field distribution data under the light field reconstructed on the active display device.

[0131] In some implementations, the simulated brightness data of the reconstructed light field distribution data under different color channels of the active display device can be obtained based on the target brightness values ​​of each backlight module unit in different color channels in the reconstructed light field distribution data.

[0132] In some optional implementations, after determining the simulated brightness data under the reconstructed light field on the active display device for each reconstructed light field distribution data, the method for determining the simulated image includes steps 231 to 233:

[0133] Step 231: For the simulated brightness data under the reconstructed light field distribution data on the active display device, based on the target brightness value corresponding to each coordinate position in the simulated brightness data and the active brightness encoding data of the active display device, the target brightness encoding value corresponding to each target brightness value is obtained, and the brightness encoding value is denormalized to obtain the grayscale value corresponding to each target brightness value.

[0134] Step 232: Display the image to be displayed in the active display device according to the grayscale value corresponding to each target brightness value and the position corresponding to each target brightness value.

[0135] Step 233: Obtain the display image when the image to be displayed is displayed on the active display, and obtain the simulated image of the reconstructed light field distribution data under the light field reconstructed on the active display device.

[0136] In some implementations, for the simulated brightness data under the reconstructed light field on the active display device, the target brightness code value corresponding to each target brightness value is obtained by querying the target brightness value corresponding to each coordinate position in the simulated brightness data and the active brightness code data of the active display device. The target brightness code value is then denormalized to obtain the grayscale value corresponding to each target brightness value.

[0137] Optionally, the target brightness code value corresponding to each target brightness value can be obtained by querying the target brightness value corresponding to each position in the simulated brightness data and the active brightness code data of the active display device. The target brightness code value is then denormalized to obtain the grayscale value corresponding to each target brightness value.

[0138] In some implementations, after determining the grayscale value corresponding to each target brightness value, the image to be displayed is displayed on the active display device based on the grayscale value corresponding to each target brightness value and the position corresponding to each target brightness value, and the display image when the image to be displayed is displayed on the active display is obtained, so as to obtain the simulated image of the light field under the reconstructed light field on the active display device based on the reconstructed light field distribution data.

[0139] Understandably, for optimal backlight partition parameters, light field reconstruction and brightness fitting based on these optimal parameters result in a simulated image with good visual effects and minimal image distortion compared to the image to be displayed. Therefore, in some implementations, the quality of the simulated images reconstructed under the light field on the active display device based on different reconstructed light field distribution data can be evaluated to obtain an evaluation index for the simulated images reconstructed under the light field on the active display device based on the image similarity between the simulated images reconstructed under the light field on the active display device based on different reconstructed light field distribution data. Based on the evaluation index of the simulated images reconstructed under the light field on the active display device based on different reconstructed light field distribution data, an evaluation index corresponding to each backlight partition parameter can be obtained.

[0140] Optionally, the image similarity between the simulated image and the image to be displayed under the reconstructed light field on the active display device can be determined by one or more evaluation functions, such as cross-correlation function, information entropy, and structural consistency evaluation function.

[0141] In some implementations, the visual quality of the human eye can be evaluated based on the simulated images under the reconstructed light field on the active display device based on different reconstructed light field distribution data, thereby obtaining the evaluation index of the simulated image corresponding to each reconstructed light field distribution data, and obtaining the evaluation index corresponding to each backlight zone parameter based on the evaluation index of the simulated image under the reconstructed light field on the active display device based on each reconstructed light field distribution data.

[0142] Optionally, human visual quality assessment includes, but is not limited to, expert evaluation and subjective evaluation using subjective evaluation functions. Subjective evaluation functions include, but are not limited to, human visual evaluation functions.

[0143] Considering that focusing only on the similarity between the simulated image and the image to be displayed, or focusing only on the visual quality of the simulated image, may not be able to comprehensively evaluate the simulated image, this embodiment of the invention performs similarity measurement and image quality evaluation on simulated images under the light field reconstructed on the active display device with different reconstructed light field distribution data. Based on the similarity measurement and image quality evaluation, evaluation indicators for simulated images under the light field reconstructed on the active display device with each reconstructed light field distribution data are obtained.

[0144] Specifically, the evaluation method based on simulated images includes steps 241–243:

[0145] Step 241: Based on the similarity between the image to be displayed and the simulated image corresponding to each reconstructed light field distribution data, perform a quality assessment on the simulated image corresponding to each reconstructed light field distribution data to obtain a quality evaluation index for the simulated image corresponding to each reconstructed light field distribution data.

[0146] Step 242: Based on similarity and quality evaluation indicators, obtain the evaluation index of the simulated image under the reconstructed light field on the active display device for each reconstructed light field distribution data.

[0147] Step 243: Based on the evaluation index of the simulated image under the reconstructed light field on the active display device and the backlight partition parameters corresponding to each reconstructed light field distribution data, determine the evaluation index corresponding to each backlight partition parameter.

[0148] The backlight zoning design evaluation method provided in this invention is based on the reconstructed light field distribution data corresponding to the backlight zoning parameters of the backlight display device. Brightness fitting is performed on the active light emission device to generate simulated images of the reconstructed light field distribution data under the light field on the active display device. Based on the evaluation index of the simulated image, the evaluation index corresponding to each backlight zoning parameter is obtained. This method does not require prototype testing, thus improving the efficiency of backlight zoning design evaluation and reducing the cost of zoning design evaluation. Furthermore, the method evaluates the backlight zoning parameters based on quantitative indexes, thereby improving the accuracy of backlight zoning parameter evaluation.

[0149] To better implement the backlight zoning design evaluation method provided in the embodiments of the present invention, a backlight zoning design evaluation device is provided based on the embodiments of the backlight zoning design evaluation method, such as... Figure 3 As shown, Figure 3 This is a schematic diagram of the backlight zoning design evaluation device provided in an embodiment of the present invention. The backlight zoning design evaluation device shown includes:

[0150] The light field reconstruction module acquires multiple backlight zone parameters to be evaluated from the backlight display device, as well as the reconstructed light field distribution data corresponding to each backlight zone parameter.

[0151] The brightness fitting module is used to determine the simulated brightness data of the image to be displayed under the light field reconstructed on the active display device using the reconstructed light field distribution data;

[0152] The image simulation module is used to generate a simulated image of the light field reconstructed on the active display device based on the simulated brightness data under the light field reconstructed by each reconstructed light field distribution data on the active display device.

[0153] The evaluation module is used to obtain the evaluation index corresponding to each backlight zone parameter based on the evaluation index of the simulated image under the reconstructed light field on the active display device according to the reconstructed light field distribution data.

[0154] In some implementations, the brightness fitting module includes:

[0155] A brightness modulation unit is used to determine the maximum grayscale brightness value on the backlight display device for each reconstructed light field distribution data; and to obtain the initial simulated brightness of the image to be displayed under the light field reconstructed on the backlight display device based on the reconstructed light field distribution data and the maximum grayscale brightness value.

[0156] The brightness fitting unit is used to determine a target brightness value that matches the initial simulated brightness based on the active brightness encoding data corresponding to the active display device; and to obtain the simulated brightness data under the reconstructed light field on the active display device based on the target brightness value; the active brightness encoding data includes multiple brightness encoding values ​​of the active display device and the brightness value corresponding to each brightness encoding.

[0157] In some embodiments, a brightness adjustment unit is used to acquire the transmittance of the backlight display device; adjust the reconstructed light field distribution data according to the transmittance to obtain adjusted reconstructed distribution data; obtain the brightness encoding value of the image to be displayed under the light field reconstructed by the reconstructed light field distribution data on the backlight display device according to the adjusted reconstructed distribution data and the maximum grayscale brightness value; obtain the initial simulated brightness of the image to be displayed under the light field reconstructed by the reconstructed light field distribution data on the backlight display device according to the backlight brightness encoding data of the backlight display device and the brightness encoding value of the image to be displayed under the light field reconstructed by the reconstructed light field distribution data on the backlight display device; the backlight brightness encoding data includes multiple brightness encoding values ​​of the backlight display device and the brightness value corresponding to each brightness encoding.

[0158] In some implementations, a brightness adjustment unit is used to determine the maximum brightness value in the reconstructed light field distribution data; and to obtain the transmittance on the backlight display device based on the maximum brightness value and the maximum grayscale brightness value.

[0159] In some embodiments, the image simulation module is used to obtain target brightness code values ​​corresponding to each target brightness value based on the target brightness value corresponding to each coordinate position in the simulated brightness data under the reconstructed light field distribution data on the active display device, and to perform inverse normalization processing on each target brightness code to obtain the grayscale value corresponding to each target brightness value; to display the image to be displayed on the active display device based on the grayscale value corresponding to each target brightness value and the coordinate position corresponding to each target brightness value; to acquire the display image when the image to be displayed is displayed on the active display device, thereby obtaining the simulated image under the reconstructed light field distribution data under the light field on the active display device; the active brightness code data includes multiple brightness code values ​​of the active display device and the brightness value corresponding to each brightness code; each coordinate position corresponds to a backlight module unit, and the backlight module unit is the smallest backlight partition in the backlight display device.

[0160] In some embodiments, the light field reconstruction module is used to reconstruct the backlight light field for each backlight partition parameter based on the light field intensity information of a preset backlight module unit and the backlight partition parameter, to obtain initial reconstructed light field distribution data corresponding to the backlight partition parameter; partition the pixels of the image to be displayed according to the backlight partition parameter to obtain multiple image partitions; obtain the light field intensity coefficient of the backlight partition parameter based on the brightness of the pixels in each image partition and a preset coefficient; and perform light field correction based on the light field intensity coefficient of the backlight partition parameter and the initial reconstructed light field distribution data corresponding to the backlight partition parameter to obtain reconstructed light field distribution data corresponding to the backlight partition parameter.

[0161] In some implementations, the evaluation module is used to evaluate the quality of the simulated images corresponding to each reconstructed light field distribution data based on the similarity between the image to be displayed and the simulated images corresponding to each reconstructed light field distribution data, thereby obtaining a quality evaluation index for the simulated images corresponding to each reconstructed light field distribution data; based on the similarity and the quality evaluation index, it obtains an evaluation index for the simulated images under the reconstructed light field on the active display device; and based on the evaluation index for the simulated images under the reconstructed light field on the active display device and the backlight partition parameters corresponding to each reconstructed light field distribution data, it determines the evaluation index corresponding to each backlight partition parameter.

[0162] The backlight zoning design evaluation device provided in this invention performs brightness fitting on an active light-emitting device based on the reconstructed light field distribution data corresponding to the backlight zoning parameters of the backlight display device. This generates simulated images of the reconstructed light field distribution data under the light field reconstructed on the active display device. Based on the evaluation index of the simulated image, the evaluation index corresponding to each backlight zoning parameter is obtained. This eliminates the need for prototype testing, improving the efficiency of backlight zoning design evaluation while reducing the cost of zoning design evaluation. Furthermore, it evaluates the backlight zoning parameters based on quantitative indicators, improving the accuracy of backlight zoning parameter evaluation.

[0163] This invention also provides a server, such as... Figure 4 As shown, it illustrates a structural schematic diagram of the electronic device involved in an embodiment of the present invention, specifically:

[0164] The electronic device may include components such as a processor 401 with one or more processing cores, a memory 402 with one or more computer-readable storage media, a power supply 403, and an input unit 404. Those skilled in the art will understand that... Figure 4 The electronic device structure shown does not constitute a limitation on the electronic device and may include more or fewer components than shown, or combine certain components, or have different component arrangements. Wherein:

[0165] The processor 401 is the control center of the electronic device. It connects various parts of the electronic device via various interfaces and lines. By running or executing software programs and / or modules stored in the memory 402, and by calling data stored in the memory 402, it performs various functions and processes data, thereby providing overall monitoring of the electronic device. Optionally, the processor 401 may include one or more processing cores; preferably, the processor 401 may integrate an application processor and a modem processor, wherein the application processor mainly handles the operating system, user interface, and applications, and the modem processor mainly handles wireless communication. It is understood that the modem processor may not be integrated into the processor 401.

[0166] The memory 402 can be used to store software programs and modules. The processor 401 executes various functional applications and data processing by running the software programs and modules stored in the memory 402. The memory 402 may mainly include a program storage area and a data storage area. The program storage area may store the operating system, application programs required for at least one function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created according to the use of the electronic device, etc. In addition, the memory 402 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, the memory 402 may also include a memory controller to provide the processor 401 with access to the memory 402.

[0167] The electronic device also includes a power supply 403 that supplies power to the various components. Preferably, the power supply 403 can be logically connected to the processor 401 through a power management system, thereby enabling functions such as charging, discharging, and power consumption management through the power management system. The power supply 403 may also include one or more DC or AC power supplies, recharging systems, power fault detection circuits, power converters or inverters, power status indicators, and other arbitrary components.

[0168] The electronic device may also include an input unit 404, which can be used to receive input digital or character information, and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.

[0169] Although not shown, the electronic device may also include a display unit, etc., which will not be described in detail here. Specifically, in this embodiment, the processor 401 in the electronic device loads the executable files corresponding to the processes of one or more applications into the memory 402 according to the following instructions, and the processor 401 runs the applications stored in the memory 402 to realize various functions, as follows:

[0170] Acquire multiple backlight zone parameters to be evaluated from the backlight display device, as well as the reconstructed light field distribution data corresponding to each backlight zone parameter;

[0171] Determine the simulated brightness data of the image to be displayed under the light field reconstructed on the active display device using the reconstructed light field distribution data;

[0172] Based on the simulated brightness data under the reconstructed light field on the active display device, the simulated image under the reconstructed light field on the active display device is generated;

[0173] Based on the evaluation metrics of the simulated image under the reconstructed light field on the active display device using the reconstructed light field distribution data, the evaluation metrics corresponding to each backlight zone parameter are obtained.

[0174] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be performed by instructions, or by instructions controlling related hardware. These instructions can be stored in a computer-readable storage medium and loaded and executed by a processor.

[0175] To this end, embodiments of the present invention provide a storage medium storing a plurality of instructions that can be loaded by a processor to execute steps in any of the backlight partition design evaluation methods provided in embodiments of the present invention. For example, the instructions can execute the following steps:

[0176] Acquire multiple backlight zone parameters to be evaluated from the backlight display device, as well as the reconstructed light field distribution data corresponding to each backlight zone parameter;

[0177] Determine the simulated brightness data of the image to be displayed under the light field reconstructed on the active display device using the reconstructed light field distribution data;

[0178] Based on the simulated brightness data under the reconstructed light field on the active display device, the simulated image under the reconstructed light field on the active display device is generated;

[0179] Based on the evaluation metrics of the simulated image under the reconstructed light field on the active display device using the reconstructed light field distribution data, the evaluation metrics corresponding to each backlight zone parameter are obtained.

[0180] For details on the implementation of each of the above operations, please refer to the previous examples, which will not be repeated here.

[0181] The storage medium may include: read-only memory (ROM), random access memory (RAM), disk or optical disk, etc.

[0182] Since the instructions stored in the storage medium can execute the steps in any of the backlight partition design evaluation methods provided in the embodiments of the present invention, the beneficial effects that any of the backlight partition design evaluation methods provided in the embodiments of the present invention can achieve can be realized, as detailed in the preceding embodiments, and will not be repeated here.

[0183] The foregoing has provided a detailed description of a backlight partition design evaluation method, apparatus, electronic device, and storage medium provided by embodiments of the present invention. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for evaluating backlight zoning design, characterized in that, The method includes: Acquire multiple backlight zone parameters to be evaluated from the backlight display device and the reconstructed light field distribution data corresponding to each backlight zone parameter; Determine the simulated brightness data of the image to be displayed under the light field reconstructed on the active display device using the reconstructed light field distribution data; Based on the simulated brightness data under the reconstructed light field on the active display device using the reconstructed light field distribution data, generate a simulated image under the reconstructed light field on the active display device using the reconstructed light field distribution data. Based on the evaluation index of the simulated image under the reconstructed light field on the active display device using the reconstructed light field distribution data, the evaluation index corresponding to each of the backlight partition parameters is obtained. The step of generating a simulated image under the reconstructed light field on the active display device based on the simulated brightness data under the reconstructed light field distribution data includes: For the simulated brightness data under the reconstructed light field distribution data on the active display device, based on the target brightness value corresponding to each coordinate position in the simulated brightness data and the active brightness encoding data of the active display device, a target brightness encoding value corresponding to each target brightness value is obtained. The brightness encoding values ​​are then denormalized to obtain the grayscale value corresponding to each target brightness value. The active brightness encoding data includes multiple brightness encoding values ​​of the active display device and the brightness value corresponding to each brightness encoding. Each coordinate position corresponds to a backlight module unit, and the backlight module unit is the smallest backlight partition in the backlight display device. The image to be displayed is displayed in the active display device according to the grayscale value corresponding to each target brightness value and the position corresponding to each target brightness value; The display image of the image to be displayed in the active display device is obtained, and a simulated image of the reconstructed light field distribution data under the light field reconstructed on the active display device is obtained.

2. The backlight zoning design evaluation method as described in claim 1, characterized in that, The step of determining the simulated brightness data of the image to be displayed under the light field reconstructed on the active display device using the reconstructed light field distribution data includes: Based on the reconstructed light field distribution data, determine the maximum grayscale brightness value on the backlight display device; Based on the reconstructed light field distribution data and the maximum grayscale brightness value, the initial simulated brightness of the image to be displayed under the light field reconstructed on the backlight display device using the reconstructed light field distribution data is obtained. Based on the active brightness coding data corresponding to the active display device, a target brightness value matching the initial simulated brightness is determined; the active brightness coding data includes multiple brightness coding values ​​of the active display device and the brightness value corresponding to each brightness coding. Based on the target brightness value, simulated brightness data under the reconstructed light field on the active display device is obtained from the reconstructed light field distribution data.

3. The backlight zoning design evaluation method as described in claim 2, characterized in that, The step of obtaining the initial simulated brightness of the image to be displayed under the reconstructed light field on the backlight display device based on the reconstructed light field distribution data and the maximum grayscale brightness value includes: Obtain the transmittance of the backlight display device; The reconstructed light field distribution data is adjusted based on the transmittance to obtain the adjusted reconstructed distribution data. Based on the adjusted reconstructed distribution data and the maximum grayscale brightness value, the brightness encoding value of the image to be displayed is obtained under the light field reconstructed on the backlight display device using the reconstructed light field distribution data. Based on the backlight brightness encoding data of the backlight display device and the brightness encoding value of the image to be displayed under the light field reconstructed by the reconstructed light field distribution data on the backlight display device, the initial simulated brightness of the image to be displayed under the light field reconstructed by the reconstructed light field distribution data on the backlight display device is obtained; the backlight brightness encoding data includes multiple brightness encoding values ​​of the backlight display device and the brightness value corresponding to each brightness encoding.

4. The backlight zoning design evaluation method as described in claim 3, characterized in that, The process of obtaining the transmittance of the backlight display device includes: Determine the maximum brightness value in the reconstructed light field distribution data; The transmittance of the backlight display device is obtained based on the maximum brightness value and the maximum grayscale brightness value.

5. The backlight zoning design evaluation method as described in claim 1, characterized in that, Obtain the reconstructed light field distribution data corresponding to each of the backlight partition parameters, including: For each of the backlight partition parameters, the backlight light field is reconstructed based on the light field intensity information of the preset backlight module unit and the backlight partition parameter, so as to obtain the initial reconstructed light field distribution data corresponding to the backlight partition parameter. Based on the backlight partitioning parameters, the pixels of the image to be displayed are partitioned to obtain multiple image partitions; The light field intensity coefficient of the backlight partition parameter is obtained based on the brightness of the pixels in each image partition and the preset coefficient. The light field intensity coefficient of the backlight partition parameter and the initial reconstructed light field distribution data corresponding to the backlight partition parameter are used to correct the light field and obtain the reconstructed light field distribution data corresponding to the backlight partition parameter.

6. The backlight zoning design evaluation method as described in any one of claims 1 to 5, characterized in that, The evaluation metrics for the simulated image under the reconstructed light field on the active display device based on the reconstructed light field distribution data are used to obtain the evaluation metrics corresponding to each of the backlight partition parameters, including: Determine the similarity between the image to be displayed and the simulated image corresponding to each of the reconstructed light field distribution data, perform a quality assessment on the simulated image corresponding to each of the reconstructed light field distribution data, and obtain a quality evaluation index for the simulated image corresponding to each of the reconstructed light field distribution data. Based on the similarity and the quality evaluation index, an evaluation index is obtained for the simulated image of the reconstructed light field distribution data under the light field on the active display device. Based on the evaluation metrics of the simulated image under the reconstructed light field on the active display device using the reconstructed light field distribution data, and the backlight partition parameters corresponding to the reconstructed light field distribution data, the evaluation metrics corresponding to each backlight partition parameter are determined.

7. A backlight zoning design evaluation device, characterized in that, The device includes: The light field reconstruction module acquires multiple backlight zone parameters to be evaluated from the backlight display device and the reconstructed light field distribution data corresponding to each backlight zone parameter. A brightness fitting module is used to determine the simulated brightness data of the image to be displayed under the light field reconstructed on the active display device using the reconstructed light field distribution data; The image simulation module is used to generate a simulated image of the light field reconstructed on the active display device based on the simulated brightness data under the light field reconstructed by the reconstructed light field distribution data on the active display device. The evaluation module is used to obtain the evaluation index corresponding to each of the backlight partition parameters based on the evaluation index of the simulated image under the reconstructed light field on the active display device according to the reconstructed light field distribution data. The image simulation module is used for: For the simulated brightness data under the reconstructed light field distribution data on the active display device, based on the target brightness value corresponding to each coordinate position in the simulated brightness data and the active brightness encoding data of the active display device, a target brightness encoding value corresponding to each target brightness value is obtained. The brightness encoding values ​​are then denormalized to obtain the grayscale value corresponding to each target brightness value. The active brightness encoding data includes multiple brightness encoding values ​​of the active display device and the brightness value corresponding to each brightness encoding. Each coordinate position corresponds to a backlight module unit, and the backlight module unit is the smallest backlight partition in the backlight display device. The image to be displayed is displayed in the active display device according to the grayscale value corresponding to each target brightness value and the position corresponding to each target brightness value; The display image of the image to be displayed in the active display device is obtained, and a simulated image of the reconstructed light field distribution data under the light field reconstructed on the active display device is obtained.

8. An electronic device, characterized in that, It includes a memory and a processor; the memory stores an application program, and the processor runs the application program within the memory to perform the operations in the backlight zoning design evaluation method according to any one of claims 1 to 6.

9. A storage medium, characterized in that, The storage medium stores a plurality of instructions adapted for loading by a processor to perform the steps in the backlight partition design evaluation method according to any one of claims 1 to 6.

Images