Backlight MURA detection and compensation method and device, storage medium and electronic equipment

Abstract

The invention relates to a backlight MURA detection and compensation method and device, a storage medium and electronic equipment, and relates to the technical field of display, the method comprises the following steps: determining a to-be-detected display, the to-be-detected display comprises a backlight panel, and the backlight panel is covered with a film material; collecting an initial characteristic value of the to-be-tested display after the to-be-tested display is covered with the membrane material, and obtaining a target characteristic value which is a standard characteristic that the to-be-tested display can reach; and determining a compensation coefficient based on the initial characteristic value and the target characteristic value, and performing MURA compensation on the to-be-tested display based on the compensation coefficient. According to the method and the device, the MURA is compensated by utilizing the compensation coefficient obtained by the initial characteristic value and the target characteristic value, so that the accuracy of the MURA can be improved.

Description

Technical Field

[0001] The present disclosure relates to the field of display technology, and in particular, to a backlight MURA detection and compensation method, device, storage medium and electronic device. Background Art

[0002] LCD (Liquid Crystal Display) is one of the commonly used electronic display devices. During the use of LCD, the display brightness may be uneven, which is called MURA defect. MURA defect will cause image distortion and even damage to human eyes. Therefore, how to better detect and compensate backlight MURA is a technical problem that needs to be solved urgently. Summary of the invention

[0003] The purpose of the present disclosure is to provide a method, device, storage medium and electronic device for detecting and compensating backlight MURA.

[0004] According to a first aspect of an embodiment of the present disclosure, a method for detecting and compensating backlight MURA is provided, the method comprising: Determine a display to be tested, wherein the display to be tested includes a backlight panel, and the backlight panel is covered with a film material; Collecting the initial characteristic value of the display to be tested after being covered with the film material, and obtaining the target characteristic value, wherein the target characteristic value is the standard characteristic that the display to be tested can achieve; A compensation coefficient is determined based on the initial characteristic value and the target characteristic value, and MURA compensation is performed on the display to be tested based on the compensation coefficient.

[0005] Optionally, determining a compensation coefficient based on the initial eigenvalue and the target eigenvalue includes: Performing a perspective correction preprocessing operation on the initial eigenvalue to obtain a candidate eigenvalue; A compensation coefficient is determined based on the candidate eigenvalue and the target eigenvalue.

[0006] Optionally, determining a compensation coefficient based on the candidate eigenvalue and the target eigenvalue includes: Get the point diffusion coefficient; Deconvolving the point spread coefficient with the candidate feature value to obtain a first deconvolution feature, and deconvolving the point spread coefficient with the target feature value to obtain a second deconvolution feature; A difference between the first deconvolution feature and the second deconvolution feature is determined, and the difference is used as the compensation coefficient.

[0007] Optionally, obtaining the point diffusion coefficient includes: Acquire first diffusion data and second diffusion data, wherein the first diffusion data is diffusion data of the film material with the maximum drive signal output on the backlight panel, and the second diffusion data is diffusion data of the film material with the minimum drive signal output on the backlight panel; A difference between the first diffusion data and the second diffusion data is determined and used as the point spread coefficient.

[0008] Optionally, obtaining the target feature value includes: Obtaining diffusion data of a plurality of backlight panels; Preprocessing is performed on the plurality of diffusion data to obtain the target characteristic value, wherein the preprocessing includes smoothing processing and / or averaging processing.

[0009] Optionally, after performing MURA compensation on the display to be tested based on the compensation coefficient, the method further comprises: Acquiring optical detection data of the backlight panel, and preprocessing the optical detection data to obtain a detection value; The detected value is converted into a standard brightness and chromaticity value, and the standard brightness and chromaticity value is evaluated to obtain an evaluation result.

[0010] Optionally, the optical detection data includes viewing angle data of multiple components, and the preprocessing of the optical detection data to obtain the detection value includes: Obtaining a target value corresponding to each of the viewing angle data, and determining a difference between each target value and the corresponding viewing angle data to obtain a plurality of difference data; A corrected viewing angle gradient is acquired based on the difference data, and the optical detection data is corrected according to the corrected viewing angle gradient to obtain the detection value.

[0011] According to a second aspect of an embodiment of the present disclosure, a backlight MURA detection and compensation device is provided, the device comprising: A determination module is configured to determine a display to be tested, wherein the display to be tested includes a backlight panel, and the backlight panel is covered with a film material; A collection module, configured to collect the initial characteristic value of the display to be tested after being covered with the film material, and obtain the target characteristic value, wherein the target characteristic value is a standard characteristic that the display to be tested can achieve; The compensation module is configured to determine a compensation coefficient based on the initial characteristic value and the target characteristic value, and perform MURA compensation on the display to be tested based on the compensation coefficient.

[0012] According to a third aspect of an embodiment of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored. When the program is executed by a processor, the steps of the backlight MURA detection and compensation method provided in the first aspect of the present disclosure are implemented.

[0013] According to a fourth aspect of an embodiment of the present disclosure, an electronic device is provided, the electronic device comprising: The computer-readable storage medium provided in the third aspect; and One or more processors are used to execute the program in the computer-readable storage medium.

[0014] Through the above technical scheme, the display to be tested is first determined, and the display to be tested may include a backlight panel, and the backlight panel may be covered with a film material. On this basis, the initial characteristic value of the display to be tested after being covered with the film material is collected, and the target characteristic value is obtained, wherein the target characteristic value is a standard characteristic that can be achieved by the display to be tested. Then, the compensation coefficient is determined based on the initial characteristic value and the target characteristic value, and the display to be tested is simply and effectively compensated for MURA based on the compensation coefficient. Since the acquisition of the compensation coefficient combines the initial characteristic value and the target characteristic value, the accuracy of MURA compensation can be improved to a certain extent.

[0015] Other features and advantages of the present disclosure will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings are used to provide a further understanding of the present disclosure and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the present disclosure but do not constitute a limitation of the present disclosure. In the accompanying drawings: Figure 1 The figure is a flow chart of a method for detecting and compensating backlight MURA according to an exemplary embodiment.

[0017] Figure 2 It is an example diagram of a process of obtaining a target characteristic value in a method for detecting and compensating backlight MURA according to an exemplary embodiment.

[0018] Figure 3 It is an example diagram of a process of obtaining a point spread coefficient in a method for detecting and compensating backlight MURA according to an exemplary embodiment.

[0019] Figure 4 It is an example diagram of a light field diffusion image in a method for detecting and compensating backlight MURA according to an exemplary embodiment.

[0020] Figure 5 is an exemplary diagram of a point diffusion coefficient in a method for detecting and compensating backlight MURA according to an exemplary embodiment.

[0021] Figure 6 The figure is an example diagram of a process of performing MURA compensation in a method for detecting and compensating backlight MURA according to an exemplary embodiment.

[0022] Figure 7 is a flow chart showing another method for detecting and compensating backlight MURA according to an exemplary embodiment.

[0023] Figure 8 It is an example diagram of a process of viewing angle correction preprocessing in another method for detecting and compensating backlight MURA according to an exemplary embodiment.

[0024] Fig. 9 is an example diagram of an optical detection process in another backlight MURA detection and compensation method according to an exemplary embodiment.

[0025] Fig.10 is a block diagram of a device for detecting and compensating backlight MURA according to an exemplary embodiment.

[0026] Fig.11 It is a block diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0027] The specific implementation of the present disclosure is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described herein is only used to illustrate and explain the present disclosure, and is not used to limit the present disclosure.

[0028] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments described herein, which are instead provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0029] It should be understood that the various steps described in the method embodiments of the present disclosure may be performed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this respect.

[0030] The term "including" and its variations used herein are open inclusions, i.e., "including but not limited to". The term "based on" means "based at least in part on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". The relevant definitions of other terms will be given in the following description.

[0031] It should be noted that the concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0032] Dynamic backlight technology HDR (High Dynamic Range) displays can cover the backlight panel with film materials, such as diffusion film or quantum dot film, when using LED (Light Emitting Diode) backlight panel, so that the optics on the panel behind the diffusion can be nearly consistent.

[0033] However, the uniformity of LED lights or the uniformity of the covering film material will have a great impact on the brightness and color presented on the final panel, that is, there are differences in the consistency of the brightness and color presented on the final panel. In addition, for direct-type SDR (Standard Dynamic Range) display panels, the consistency of the backlight panel will also affect the final display effect.

[0034] In some embodiments, the LCD display may include an LED backlight panel and a display glass panel, and the consistency or difference of the LCD display may be optimized in the following two ways. The first way is to adjust the glass transmittance of the LCD panel so that the brightness and color of each RGB pixel after the transmittance is changed are consistent. The second way is to adjust the backlight panel, that is, to correct its brightness or color by detecting the difference in the backlight. These two optimization methods can be called demura, which can be used to correct the mura defect of the display.

[0035] Optionally, directly detecting the LED backlight and correcting the brightness and chromaticity differences of the LED lamp beads can realize the correction of the display LED backlight. Exemplarily, the film material covering the LED is evenly distributed. When the brightness and chromaticity of the LED light are consistent, the uniform film material diffusion can also present a smooth and consistent brightness and chromaticity. In addition, equipment needs to be further added to inspect the brightness and chromaticity optics after coating before the product leaves the factory.

[0036] Figure 1 A method for detecting and compensating backlight MURA is shown according to an exemplary embodiment. Figure 1As shown, the detection and compensation of the backlight MURA may include the following steps: In step S110 , a display to be tested is determined.

[0037] In the disclosed embodiment, the display to be tested may include a backlight panel and a display glass panel. Exemplarily, the display to be tested may be an LCD display, which may include an LED backlight panel and a display glass panel. The LED backlight panel may be a key component for providing a light source, which may use a light emitting diode (LED) as a light source to uniformly illuminate the liquid crystal layer behind the screen so that it can display an image.

[0038] In order to detect the backlight MARU, the embodiment of the present disclosure can cover different film materials such as diffusion film and quantum dot film on the backlight panel, and on this basis, perform backlight MURA detection on the display to be tested covered with the film material.

[0039] In step S120, the initial characteristic values ​​of the display to be tested after being covered with the film material are collected, and the target characteristic values ​​are obtained.

[0040] As an optional method, the embodiment of the present disclosure can collect the initial characteristic value of the display to be tested after the covering film material, and obtain the target characteristic value. Among them, the initial characteristic value can be the data after the film material is diffused obtained by using an image acquisition device. Exemplarily, the initial characteristic value can be the LED luminous characteristics under the film material based on the morphology of the covering film material obtained by a surface camera.

[0041] Here, the initial characteristic values ​​may include characteristics such as spectral characteristics, brightness and light intensity, light emission angle, color temperature, color rendering index, power and efficiency, life span, and operating temperature.

[0042] In the embodiment of the present disclosure, the target characteristic value may be a standard characteristic that can be achieved by the display to be detected, and the target characteristic value may also be referred to as an ideal target characteristic value. In the process of obtaining the target characteristic value, the embodiment of the present disclosure may obtain diffusion data of multiple backlight panels. On this basis, the multiple diffusion data are preprocessed (a first preprocessing operation is performed) to obtain the target characteristic value, wherein the preprocessing may include smoothing processing and / or averaging processing.

[0043] The process of obtaining the target feature value can be as follows: Figure 2 As shown, based on Figure 2 It is known that the embodiment of the present disclosure can first obtain n film material diffusion data, and on this basis, perform pre-processing such as smoothing and averaging on the n film material diffusion data, so that the target eigenvalue surface can be calculated, and the target eigenvalue surface can be used as the target eigenvalue.

[0044] In other words, the embodiment of the present disclosure can measure the diffusion data of multiple backlight panels, and perform pre-processing such as averaging, smoothing, and symmetry on the diffusion data to obtain an ideal target value that is as smooth and consistent as possible, and the ideal target value can be used as a target feature value. It can be seen that the target feature value can be the final achievable effect after demura.

[0045] Here, the purpose of preprocessing such as averaging and smoothing is to reduce the differences between individual light panels and obtain the most ideal target value. If the data is still not ideal, the embodiment of the present disclosure can further perform preprocessing.

[0046] In step S130 , a compensation coefficient is determined based on the initial eigenvalue and the target eigenvalue, and MURA compensation is performed on the display to be tested based on the compensation coefficient.

[0047] As an optional method, after obtaining the initial characteristic value and the target characteristic value, the embodiment of the present disclosure can determine the compensation coefficient based on the initial characteristic value and the target characteristic value, and can realize MURA compensation for the display to be detected based on the compensation coefficient. The compensation coefficient is used to adjust the LED driving signal of the display panel so that the brightness displayed under the film material is consistent after the LED is driven to light up.

[0048] In the process of obtaining the compensation coefficient, the embodiment of the present disclosure can obtain the deconvolution of the candidate initial eigenvalue and the deconvolution of the target eigenvalue, and on this basis, obtain the difference between the two, and use the difference as the compensation coefficient. In other words, the embodiment of the present disclosure can calculate the deconvolution of the light board to be tested (initial eigenvalue) and the deconvolution of the ideal target (target eigenvalue), and then obtain the compensation coefficient between the two.

[0049] Optionally, the embodiment of the present disclosure may first obtain the difference between the initial eigenvalue and the target eigenvalue, then perform deconvolution on the difference value, and use the deconvolution result as the compensation coefficient. In other words, the embodiment of the present disclosure may first calculate the difference between the lamp panel to be tested and the ideal target value, and then solve the deconvolution to obtain the compensation coefficient.

[0050] It can be seen that in order to meet the demura function, the embodiment of the present disclosure can calculate the compensation difference between the display panel to be corrected (the initial characteristic value of the display backlight panel to be tested) and the ideal target value (target characteristic value), and MURA compensation can be achieved based on the compensation difference.

[0051] In some embodiments, in order to obtain the compensation coefficient, the embodiment of the present disclosure may first obtain a point diffusion coefficient. On this basis, the point diffusion coefficient is applied to each point or each partition on the entire screen, and the cumulative value of the coefficient diffusion at each point is calculated, and the cumulative value is a two-dimensional diffusion array, and the two-dimensional diffusion array is deconvolved with the initial eigenvalue to obtain a first deconvolution feature, and the two-dimensional diffusion array is deconvolved with the target eigenvalue to obtain a second deconvolution feature. Then, the difference between the first deconvolution feature and the second deconvolution feature is determined, and the difference is used as the compensation coefficient.

[0052] The process of calculating the point diffusion coefficient during the demura process of the embodiment of the present disclosure can be as follows: Figure 3 As shown, based on Figure 3 It is known that when calculating the point spread coefficient, the diffusion data of the film material with the maximum driving signal output of the full screen (first diffusion data) and the diffusion data of the film material with the minimum driving signal output of the central LED (second diffusion data) can be obtained first. On this basis, the difference between the two is calculated to generate the point spread coefficient.

[0053] Here, the point spread coefficient can be obtained based on the first point spread data and the second point spread data, wherein the first point spread data can be the film material spread data of the maximum drive signal output, and the second spread data can be the film material spread data of the minimum drive signal output on the backlight panel. In other words, the first spread data can be the film material spread data of the maximum drive signal output of some points or a single point on the backlight panel, and similarly, the second spread data can be the film material spread data of the minimum drive signal output of some points or a single point on the backlight panel.

[0054] In some embodiments, the first point spread data and the second point spread data may be light field diffusion images acquired by plane shooting when calculating the point spread coefficient. The light field diffusion images may be as follows: Figure 4 shown.

[0055] Specifically, the embodiment of the present disclosure can determine the difference between the first diffusion data and the second diffusion data, and use the difference as the point diffusion coefficient. It can be seen that the point diffusion coefficient can be calculated from the light field diffusion image, and the point diffusion coefficient can be calculated as follows: Figure 5 shown.

[0056] It can be seen that the embodiment of the present disclosure can obtain the point spread coefficient by detecting the maximum display brightness and minimum display brightness of a single-point LED drive through face shooting, that is, the difference between the maximum display brightness and the minimum display brightness can be used as the point spread coefficient. In this process, the embodiment of the present disclosure can further obtain the diffusion effect of a single point or a single partition LED on the neighborhood after it is lit by processing the normalized calculation.

[0057] In other words, the purpose of obtaining the point spread coefficient is to obtain the impact of a single point or single partition LED on the neighborhood after it is lit. The difference between the maximum brightness and the minimum brightness of the single point LED driver can be further calculated by processing normalization.

[0058] When calculating the ideal target value (target characteristic value) and the point spread coefficient, the embodiment of the present disclosure may measure multiple light panels to improve accuracy.

[0059] It should be noted that the first diffusion data may be the diffusion data of the film material with the maximum drive signal output on the backlight panel, or the diffusion data of the film material with the minimum drive signal output on the backlight panel. Similarly, the second diffusion data may be the diffusion data of the film material with the minimum drive signal output on the backlight panel, or the diffusion data of the film material with the maximum drive signal output on the backlight panel.

[0060] It can be seen that the first diffusion data and the second diffusion data can be two different film material diffusion data, one of which is the largest and the other is the smallest, or one is the smallest and the other is the largest, that is, the order of the largest and the smallest can be arbitrary. There is no clear restriction on which of the first diffusion data and the second diffusion data is the largest driving signal and which is the smallest driving signal, and it can be selected according to actual conditions.

[0061] For example, the backlight panel has 11*11 rows and columns of LED lights. The data obtained by the first full-screen shooting is the first diffusion data, and the data obtained by the second shooting with one LED light off in the middle is the second diffusion data. For another example, the data obtained by the first full-screen black screen shooting is the first diffusion data, and the data obtained by the second shooting with one LED light in the middle can be the second diffusion data. The disclosed embodiment can improve the accuracy of point diffusion coefficient acquisition by shooting multiple data.

[0062] Optionally, after obtaining the point spread coefficient, the embodiment of the present disclosure may also first obtain the difference feature between the initial eigenvalue and the target eigenvalue, and then deconvolve the point spread coefficient and the difference feature to obtain the compensation coefficient.

[0063] In the embodiment of the present disclosure, the compensation coefficient can also be called the demura coefficient. Since the display panel (backlight panel) is composed of an LED light board and various quantum films and diffusion films stacked on the upper layer, the feature differences detected by the surface camera cannot be expressed as the differences between LED lamp beads. Therefore, in the process of obtaining the compensation coefficient, the embodiment of the present disclosure can perform effective deconvolution processing on the features.

[0064] When calculating the deconvolution, it is equivalent to solving AX=b, where A can represent the diffusion coefficient matrix, b can be the eigenvalue (initial eigenvalue or target eigenvalue) after lamination of the face shot detection, and X is an unknown quantity, that is, the LED eigenvalue. Since A is an M*N sparse matrix, there is artifact jitter when mathematically solving it. In order to reduce the deviation, the embodiment of the present disclosure can use a regularization constraint term to reduce its jitter, and the introduction of the regularization constraint term does not significantly affect its deconvolution value.

[0065] It should be noted that, before performing the deconvolution operation, the embodiment of the present disclosure may also perform a perspective correction preprocessing operation on the initial eigenvalue to obtain a candidate eigenvalue, and on this basis, determine the compensation coefficient based on the candidate eigenvalue and the target eigenvalue. The candidate eigenvalue may be obtained based on the compensation or correction perspective gradient surface.

[0066] At this time, the embodiment of the present disclosure can deconvolve the point spread coefficient with the candidate feature value to obtain a first deconvolution feature, and deconvolve the point spread coefficient with the target feature value to obtain a second deconvolution feature. Then, the difference between the first deconvolution feature and the second deconvolution feature is determined, and the difference is used as a compensation coefficient.

[0067] Optionally, the embodiment of the present disclosure may first obtain the difference feature between the candidate feature value and the target feature value, and then deconvolve the point spread coefficient with the difference feature between the two to obtain the compensation coefficient.

[0068] It should be noted that after obtaining the compensation coefficient, the embodiment of the present disclosure can apply the compensation coefficient to the hardware response, and on this basis, obtain the compensated film diffusion detection data, that is, evaluate the demura result.

[0069] Specifically, the disclosed embodiment can compare whether the difference between the face shot feature value after demura and the ideal target feature value is within a set difference range. If the difference between the face shot feature value after demura and the ideal target feature value is within the set difference range (within a preset range), it means that the demura is successful. On the contrary, if the difference between the face shot feature value after demura and the ideal target feature value is not within the set difference range, it means that the demura has failed, and the demura can continue to be executed.

[0070] Here, the surface shot feature value after demura may be the feature of the display to be inspected after MURA compensation is performed on the display to be inspected and then re-collected by the surface shot camera after the display to be inspected is covered with a film material.

[0071] In order to better illustrate the detailed process of MURA compensation, the present disclosure provides the following embodiments: Figure 6 The example diagram shown is based on Figure 6Knowing the demura of the display backlight panel can include obtaining the ideal target value surface (target eigenvalue) and point diffusion coefficient; obtaining the eigenvalue (initial eigenvalue) of the display panel after lamination; performing viewing angle correction preprocessing; deconvolution to calculate the eigenvalue of the backlight LED under the film material and calculate the demura coefficient; downloading the demura coefficient to the hardware driver to compensate for the difference in the influence of LED; and evaluating the effect after demura.

[0072] As a specific implementation, the disclosed embodiment can detect the brightness and chromaticity characteristic values ​​(initial characteristic values) of the LED light points or LED partitions corresponding to the backlight panel through a face-shot camera, and calculate its deconvolved LED characteristics, and at the same time calculate the deconvolved LED characteristics of the ideal target (target characteristic value). On this basis, the difference coefficient between the two is calculated, and the difference coefficient is used as a coefficient for demura correction to compensate the hardware, so that the hardware responds to a result that is almost consistent with the ideal target. Finally, the disclosed embodiment can again face-shot the result after demura detection, and evaluate the difference between the characteristics after demura and the ideal target by setting corresponding evaluation indicators.

[0073] Specifically, in the process of obtaining the characteristic value (initial characteristic value) of the LED light point or block position, the embodiment of the present disclosure can drive the LED display panel to display the point sampling effect, which can be a technology that improves the overall performance by analyzing and optimizing the performance of specific points (or sample points) in the display or optical system. Then, the corresponding image is obtained through face shooting and preprocessed and positioned. On this basis, the position of the LED light point or block of the entire screen is derived, and the neighborhood features of all positions, such as the mean feature, are calculated to obtain the initial characteristic value.

[0074] The disclosed embodiment can first determine a display to be tested, which may include a backlight panel, and the backlight panel may be covered with a film material. On this basis, the initial characteristic value of the display to be tested after being covered with the film material is collected, and the target characteristic value is obtained, wherein the target characteristic value is a standard characteristic that can be achieved by the display to be tested. Then, a compensation coefficient is determined based on the initial characteristic value and the target characteristic value, and a simple and effective MURA compensation is performed on the display to be tested based on the compensation coefficient. Since the acquisition of the compensation coefficient combines the initial characteristic value and the target characteristic value, the accuracy of MURA compensation can be improved to a certain extent.

[0075] Figure 7 A method for detecting and compensating backlight MURA is shown according to an exemplary embodiment. Figure 7 As shown, the detection and compensation of the backlight MURA may include the following steps: In step S210, a display to be tested is determined.

[0076] In step S220, the initial characteristic values ​​of the display to be tested after being covered with the film material are collected, and the target characteristic values ​​are obtained.

[0077] In step S230, a compensation coefficient is determined based on the initial eigenvalue and the target eigenvalue, and MURA compensation is performed on the display to be tested based on the compensation coefficient.

[0078] In the embodiment of the present disclosure, the process from step S210 to step S230 may be a process of demura of the display backlight panel. Specific implementation of step S210 to step S230 The above embodiment has been described in detail, and will not be repeated here.

[0079] Through the above introduction, it is known that after MURA compensation is performed on the display to be detected, the embodiment of the present disclosure can evaluate the demura result. On this basis, the embodiment of the present disclosure can detect the optical data of the backlight panel. The process mainly includes the following processing: obtaining the surface optical detection data, the viewing angle correction preprocessing, the surface optical brightness and color calibration and the result evaluation, etc. For details, please refer to step S240 to step S250.

[0080] In step S240, optical detection data of the backlight panel is acquired, and the optical detection data is preprocessed to obtain a detection value.

[0081] In the disclosed embodiment, the optical detection data of the backlight panel is similar to the initial characteristics of the display to be tested, and can also be obtained through surface shooting. However, the optical detection data can be data obtained after MURA compensation is performed on the display to be tested, and the optical detection data can include brightness characteristic information and chromaticity characteristic information.

[0082] As an optional method, after acquiring the optical detection data of the backlight panel, the embodiment of the present disclosure may pre-process the optical detection data to obtain a detection value. Here, the pre-processing may be referred to as a viewing angle correction pre-processing operation.

[0083] Based on the perspective correction preprocessing operation, the influence of multiple differences such as the optical perspective of the face-to-face camera and the optical perspective of the light-emitting display can be corrected. Specifically, the optical differences of the face-to-face camera may include distortion, dark angle, and light source distribution curve.

[0084] Exemplarily, distortion can be obtained by calibrating the camera internal parameters, and dark angle can be calibrated by measuring a uniform light source. The disclosed embodiment can compensate and correct each difference one by one, or it can be unified into an overall compensation correction. It can be seen that the perspective correction preprocessing operation can be achieved by face shooting and luminous perspective calibration. Among them, the luminous perspective can refer to the consistency of brightness or light effect when observing a light source at different angles.

[0085] In some embodiments, the calibration of the optical viewing angle can be achieved by optical viewing angle correction. Specifically, a completely consistent normalized display panel characteristic value is convolved with a point spread coefficient to generate an ideal consistent standard characteristic value (target surface). The normalized display panel characteristic value can be a value obtained by adjusting the display panel characteristic value (such as brightness, chromaticity, contrast, etc.) to a certain standard range (such as between 0 and 1) for comparison or further processing under different conditions. Here, the display panel characteristic value can be optical detection data.

[0086] On this basis, the standard eigenvalue is compared with the actual eigenvalue data (optical detection data) on the display panel obtained using a surface camera, and the difference between the two is calculated to obtain a compensated or corrected viewing angle gradient surface. Thereafter, the surface is used to compensate for the corrected viewing angle gradient to obtain a candidate eigenvalue.

[0087] The process of preprocessing optical detection data can be as follows Figure 8 As shown, based on Figure 8 It is known that the embodiment of the present disclosure can convolve the optical detection data with the point spread coefficient to generate an ideal target surface. At the same time, the embodiment of the present disclosure can obtain the original data of the surface shot, on this basis, compare the original data with the target surface, calculate the difference between the two, and obtain a modified viewing angle surface, based on which preprocessing can be achieved.

[0088] Specifically, the optical detection data may include multiple components of viewing angle data. In the process of obtaining the detection value, the embodiment of the present disclosure may first obtain the target value corresponding to the viewing angle data of each component, and respectively calculate the difference between these target values ​​and the corresponding viewing angle data to obtain multiple difference data. On this basis, a corrected viewing angle gradient is obtained based on the difference data, and the optical detection data can be corrected according to the corrected viewing angle gradient to obtain the detection value.

[0089] The target characteristic value of the MURA compensation may be a target value corresponding to one of the components in the optical detection data, and the target characteristic value may be a characteristic value exhibited by an ideal and uniform light panel after lamination.

[0090] As can be seen from the above introduction, the optical detection data can include brightness characteristic information and chromaticity characteristic information. Unlike demura, the viewing angle correction during optical detection can compensate for the brightness characteristic surface and the chromaticity characteristic surface respectively.

[0091] It should be noted that the disclosed embodiment can collect the brightness and chromaticity values ​​of multiple points on the backlight panel after lamination by using a point measurement optical standard instrument, and use a surface camera to collect the brightness and chromaticity characteristics on the panel under the same conditions, and then calculate the difference between the two, and use interpolation to calculate the optical viewing angle surface of all positions on the entire backlight panel as a viewing angle calibration surface. The viewing angle calibration surface can be used to describe the brightness and color performance of the display at different observation angles. By measuring the brightness and color data at different angles, drawing a three-dimensional surface diagram, analyzing the brightness uniformity and color consistency, the viewing angle performance of the display can be optimized. Among them, the brightness and chromaticity information collection of each point on the panel can be completed by controlling the movement of the standard brightness and chromaticity instrument through a three-axis automatic mechanical device.

[0092] In step S250, the detection value is converted into a standard brightness and chromaticity value, and the standard brightness and chromaticity value is evaluated to obtain an evaluation result.

[0093] As an optional manner, after obtaining the detection value, the embodiment of the present disclosure may convert the detection value into a standard brightness and chromaticity value, and evaluate the standard brightness and chromaticity value to obtain an evaluation result.

[0094] Specifically, the disclosed embodiments can match the feature information (brightness feature information and chromaticity feature information) obtained by the face-capture camera with the standard three-stimulus values ​​XYZ, and calculate the mapping coefficient or calibration coefficient between the two through calibration. In this way, the three feature values ​​of the face capture can be converted into standard three-stimulus values, and then converted into brightness and chromaticity information, and optical evaluation can be performed.

[0095] Here, the optical evaluation may be an evaluation of brightness uniformity, or an evaluation of color shift, or an evaluation of brightness uniformity and color shift, that is, an evaluation of both.

[0096] In order to better illustrate the process of optical detection of the backlight panel, the present disclosure provides the following embodiments: Fig. 9 The example diagram shown is based on Fig. 9 It is known that after obtaining optical detection data (brightness and chromaticity optical characteristic value acquisition) through face shooting, the embodiment of the present disclosure can perform perspective correction data preprocessing to obtain detection values. On this basis, the detection values ​​are calibrated as brightness and chromaticity values.

[0097] In addition, before calibrating the detected value to brightness and chromaticity, the embodiment of the present disclosure can calibrate the face-shot optical brightness and chromaticity (brightness and chromaticity optical calibration) to obtain a calibration correspondence. Then, according to the calibration correspondence, the detected value is converted into a brightness and chromaticity value, that is, the conversion standard optical data calibration is performed to obtain a brightness and chromaticity value, and finally the brightness and chromaticity value is evaluated, that is, the brightness and chromaticity optical result is evaluated.

[0098] Optical calibration in display optical inspection is based on a standard brightness colorimeter. The disclosed embodiment can choose to measure the brightness and chromaticity values ​​of a single point or a multi-point display backlight panel at a certain position. At the same time, the face-to-face camera obtains the optical brightness and chromaticity features at the corresponding position and calibrates their mutual relationship (calibration correspondence). In other words, the calibration correspondence includes optical brightness and chromaticity features and brightness and chromaticity values, and there can be a mutual correspondence between the optical brightness and chromaticity features and the brightness and chromaticity values, such as one optical brightness and chromaticity feature can correspond to one brightness and chromaticity value. When testing the panel to be tested, the disclosed embodiment can first perform viewing angle correction on the brightness and chromaticity feature values ​​obtained by face-to-face shooting, and then convert the corrected brightness and chromaticity feature values ​​into standard brightness and chromaticity values ​​through calibration optics (the above-mentioned calibration correspondence), and finally evaluate its brightness and chromaticity consistency.

[0099] contrast Figure 6 and Fig. 9 It can be seen that both the process of demura of the display backlight panel and the process of detecting the optical data of the backlight panel involve a viewing angle correction data preprocessing operation. Among them, the viewing angle correction data preprocessing operation involved in the process of demura of the display backlight panel can be called a second preprocessing operation, and the viewing angle correction data preprocessing operation involved in the process of detecting the optical data of the backlight panel can be called a third preprocessing operation. Among them, the methods adopted by the second preprocessing operation and the third preprocessing operation can be the same or different. The specific method used for preprocessing is not explicitly limited here, and can be selected according to actual conditions.

[0100] The embodiments of the present disclosure may be applied to scenarios where an area array device is used to detect LCD backlight optical data and perform correction calibration.

[0101] The disclosed embodiment can first determine the display to be tested, which can include a backlight panel, and the backlight panel can be covered with a film material. On this basis, the initial characteristic value of the display to be tested after being covered with the film material is collected, and the target characteristic value is obtained, wherein the target characteristic value is the standard characteristic that the display to be tested can achieve. Then, the compensation coefficient is determined based on the initial characteristic value and the target characteristic value, and the display to be tested is simply and effectively MURA compensated based on the compensation coefficient. Since the acquisition of the compensation coefficient combines the initial characteristic value and the target characteristic value, the accuracy of MURA compensation can be improved to a certain extent. In addition, the disclosed embodiment can inspect the luminous characteristics of the LED under the film material based on the morphology of the covering film material, and there is no need to add additional manual operations. In the same environment, it can not only inspect the brightness and color optics under the film, but also reduce the equipment cost and the complexity of manual operations.

[0102] Fig.10 A backlight MURA detection and compensation device is shown according to an exemplary embodiment. Fig.10The backlight MURA detection and compensation device 300 shown may include a determination module 310 , a collection module 320 and a compensation module 330 .

[0103] The determination module 310 is configured to determine a display to be tested, wherein the display to be tested includes a backlight panel, and the backlight panel is covered with a film material; The acquisition module 320 is configured to acquire the initial characteristic value of the display to be tested after being covered with the film material, and obtain the target characteristic value, wherein the target characteristic value is a standard characteristic that the display to be tested can achieve; The compensation module 330 is configured to determine a compensation coefficient based on the initial characteristic value and the target characteristic value, and perform MURA compensation on the display to be tested based on the compensation coefficient.

[0104] In some implementations, the compensation module 330 may include: A first preprocessing submodule is configured to perform a perspective correction preprocessing operation on the initial eigenvalue to obtain a candidate eigenvalue; The coefficient determination submodule is configured to determine a compensation coefficient based on the candidate eigenvalue and the target eigenvalue.

[0105] In some embodiments, the coefficient determination submodule is configured to obtain a point spread coefficient; deconvolve the point spread coefficient with the candidate feature value to obtain a first deconvolution feature, and deconvolve the point spread coefficient with the target feature value to obtain a second deconvolution feature; determine the difference between the first deconvolution feature and the second deconvolution feature, and use the difference as the compensation coefficient.

[0106] In some embodiments, the coefficient determination submodule is further configured to obtain first diffusion data and second diffusion data, wherein the first diffusion data is diffusion data of the film material with the maximum driving signal output on the backlight panel, and the second diffusion data is diffusion data of the film material with the minimum driving signal output on the backlight panel; determine the difference between the first diffusion data and the second diffusion data, and use the difference as the point diffusion coefficient.

[0107] In some implementations, the acquisition module 320 may include: A data acquisition submodule, configured to acquire diffusion data of a plurality of backlight panels; The second preprocessing submodule is configured to preprocess the plurality of diffusion data to obtain the target feature value, wherein the preprocessing includes smoothing processing and / or averaging processing.

[0108] In some embodiments, the backlight MURA detection and compensation device 300 may include: A data acquisition module, configured to acquire optical detection data of the backlight panel and pre-process the optical detection data to obtain a detection value; The conversion module is configured to convert the detection value into a standard brightness and chromaticity value, and evaluate the standard brightness and chromaticity value to obtain an evaluation result.

[0109] In some embodiments, the data acquisition module includes: a difference determination submodule, configured to obtain a target value corresponding to each of the viewing angle data, and determine a difference between each target value and the corresponding viewing angle data to obtain a plurality of difference data; The correction submodule is configured to obtain a corrected viewing angle gradient based on the difference data, and correct the optical detection data according to the corrected viewing angle gradient to obtain the detection value.

[0110] The disclosed embodiment can first determine a display to be tested, which may include a backlight panel, and the backlight panel may be covered with a film material. On this basis, the initial characteristic value of the display to be tested after being covered with the film material is collected, and the target characteristic value is obtained, wherein the target characteristic value is a standard characteristic that can be achieved by the display to be tested. Then, a compensation coefficient is determined based on the initial characteristic value and the target characteristic value, and a simple and effective MURA compensation is performed on the display to be tested based on the compensation coefficient. Since the acquisition of the compensation coefficient combines the initial characteristic value and the target characteristic value, the accuracy of MURA compensation can be improved to a certain extent.

[0111] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0112] Fig.11 FIG. 7 is a block diagram of an electronic device 700 according to an exemplary embodiment. Fig.11 As shown, the electronic device 700 may include: a processor 701 , a memory 702 . The electronic device 700 may also include one or more of a multimedia component 703 , an input / output (I / O) interface 704 , and a communication component 705 .

[0113] The processor 701 is used to control the overall operation of the electronic device 700 to complete all or part of the steps in the above-mentioned backlight MURA detection and compensation method. The memory 702 is used to store various types of data to support the operation of the electronic device 700, and these data may include, for example, instructions for any application or method used to operate on the electronic device 700, and application-related data, such as contact data, sent and received messages, pictures, audio, video, etc. The memory 702 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read-Only Memory, referred to as EPROM), programmable read-only memory (Programmable Read-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, magnetic disk or optical disk. The multimedia component 703 may include a screen and an audio component. The screen may be, for example, a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone, which is used to receive external audio signals. The received audio signal may be further stored in the memory 702 or sent through the communication component 705. The audio component also includes at least one speaker for outputting audio signals. The I / O interface 704 provides an interface between the processor 701 and other interface modules, and the above-mentioned other interface modules may be a keyboard, a mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 705 is used for wired or wireless communication between the electronic device 700 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G or 4G, or a combination of one or more of them, so the corresponding communication component 705 may include: Wi-Fi module, Bluetooth module, NFC module.

[0114] In an exemplary embodiment, the electronic device 700 can be implemented by one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), controllers, microcontrollers, microprocessors or other electronic components to perform the above-mentioned backlight MURA detection and compensation method.

[0115] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, and when the program instructions are executed by a processor, the steps of the above-mentioned backlight MURA detection and compensation method are implemented. For example, the computer-readable storage medium can be the above-mentioned memory 702 including program instructions, and the above-mentioned program instructions can be executed by the processor 701 of the electronic device 700 to complete the above-mentioned backlight MURA detection and compensation method.

[0116] The preferred embodiments of the present disclosure are described in detail above in conjunction with the accompanying drawings; however, the present disclosure is not limited to the specific details in the above embodiments. Within the technical concept of the present disclosure, a variety of simple modifications can be made to the technical solution of the present disclosure, and these simple modifications all fall within the protection scope of the present disclosure.

[0117] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present disclosure will not further describe various possible combinations.

[0118] In addition, various embodiments of the present disclosure may be arbitrarily combined, and as long as they do not violate the concept of the present disclosure, they should also be regarded as the contents disclosed by the present disclosure.

Claims

1. A method for detecting and compensating backlight MURA, characterized in that: The method comprises: Determine a display to be tested, wherein the display to be tested includes a backlight panel, and the backlight panel is covered with a film material; Collecting the initial characteristic value of the display to be tested after being covered with the film material, and obtaining the target characteristic value, wherein the target characteristic value is the standard characteristic that the display to be tested can achieve; A compensation coefficient is determined based on the initial characteristic value and the target characteristic value, and MURA compensation is performed on the display to be tested based on the compensation coefficient.

2. The method according to claim 1, characterized in that The determining of the compensation coefficient based on the initial eigenvalue and the target eigenvalue comprises: Performing a perspective correction preprocessing operation on the initial eigenvalue to obtain a candidate eigenvalue; A compensation coefficient is determined based on the candidate eigenvalue and the target eigenvalue.

3. The method according to claim 2, characterized in that The determining of the compensation coefficient based on the candidate eigenvalue and the target eigenvalue includes: Get the point diffusion coefficient; Deconvolving the point spread coefficient with the candidate feature value to obtain a first deconvolution feature, and deconvolving the point spread coefficient with the target feature value to obtain a second deconvolution feature; A difference between the first deconvolution feature and the second deconvolution feature is determined, and the difference is used as the compensation coefficient.

4. The method according to claim 3, characterized in that The step of obtaining the point diffusion coefficient comprises: Acquire first diffusion data and second diffusion data, wherein the first diffusion data is diffusion data of the film material with the maximum drive signal output on the backlight panel, and the second diffusion data is diffusion data of the film material with the minimum drive signal output on the backlight panel; A difference between the first diffusion data and the second diffusion data is determined and used as the point spread coefficient.

5. The method according to claim 1, characterized in that: The obtaining of the target characteristic value comprises: Obtaining diffusion data of a plurality of backlight panels; Preprocessing is performed on the plurality of diffusion data to obtain the target characteristic value, wherein the preprocessing includes smoothing processing and / or averaging processing.

6. The method according to any one of claims 1 to 5, characterized in that: After performing MURA compensation on the display to be tested based on the compensation coefficient, the method includes: Acquiring optical detection data of the backlight panel, and preprocessing the optical detection data to obtain a detection value; The detected value is converted into a standard brightness and chromaticity value, and the standard brightness and chromaticity value is evaluated to obtain an evaluation result.

7. The method according to claim 6, characterized in that The optical detection data includes viewing angle data of multiple components, and the preprocessing of the optical detection data to obtain the detection value includes: Obtaining a target value corresponding to each of the viewing angle data, and determining a difference between each target value and the corresponding viewing angle data to obtain a plurality of difference data; A corrected viewing angle gradient is acquired based on the difference data, and the optical detection data is corrected according to the corrected viewing angle gradient to obtain the detection value.

8. A backlight MURA detection and compensation device, characterized in that: The device comprises: A determination module is configured to determine a display to be tested, wherein the display to be tested includes a backlight panel, and the backlight panel is covered with a film material; A collection module, configured to collect the initial characteristic value of the display to be tested after being covered with the film material, and obtain the target characteristic value, wherein the target characteristic value is a standard characteristic that the display to be tested can achieve; The compensation module is configured to determine a compensation coefficient based on the initial characteristic value and the target characteristic value, and perform MURA compensation on the display to be tested based on the compensation coefficient.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method described in any one of claims 1 to 7 are implemented.

10. An electronic device, characterized in that: include: The computer readable storage medium as claimed in claim 9; as well as One or more processors are used to execute the program in the computer-readable storage medium.

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