Calibration method, device, equipment and storage medium for display structure

Abstract

The present invention discloses a calibration method for a display structure, a calibration device for a display structure, a calibration equipment for a display structure, and a storage medium, and belongs to the technical field of display screens. The display structure includes a display panel and a plurality of lenses arranged on the display panel, the display panel includes a plurality of pixel units, and the lenses are arranged corresponding to the pixel units. The method includes: the calibration method for the display structure includes the following steps: obtaining second image data corresponding to a test image displayed by the display structure captured by a camera, the test image being an image displayed by the display structure according to the first image data to be displayed and a first adjustment parameter, the first adjustment parameter including the relative position deviation between different pixel units and the corresponding lens; determining a calibration matrix for the display structure according to the deviation value of the standard image data corresponding to the second image data and the first image data; and controlling the display structure to display an image according to the calibration matrix. The present application achieves the goal of improving the accuracy of image display on a naked-eye 3D display screen.

Description

Technical Field

[0001] The present invention relates to the field of display screens, and in particular to a display structure calibration method, a display structure calibration device, a display structure calibration equipment, and a storage medium. Background Art

[0002] At present, the display structure of the naked-eye 3D display screen includes a display panel and a lens diaphragm arranged on the display panel. 3D display is achieved through the display structure. As the display requirements of the naked-eye 3D display screen increase, the 3D display screen needs to be calibrated. The current calibration method calibrates the 3D display screen as a whole to reduce the impact of lens offset on the display effect. However, as the size of the 3D display screen increases, in addition to the overall offset, there are also problems of uneven lens diaphragm and uneven adhesion of the lens diaphragm, which lead to image display errors and deviations in some display areas, thereby making the accuracy of image display on the naked-eye 3D display screen low.

[0003] The above content is only used to assist in understanding the technical solution of the present invention and does not constitute an admission that the above content is prior art. Summary of the Invention

[0004] The main purpose of the present invention is to provide a display structure calibration method, display structure calibration equipment, display structure calibration device and storage medium, aiming to improve the accuracy of naked-eye 3D display screen display image.

[0005] To achieve the above objectives, the present invention provides a method for calibrating a display structure, wherein the display structure is used to display 3D images, the display structure comprising a display panel and a plurality of lenses disposed on the display panel, the display panel comprising a plurality of pixel units, the lenses being disposed corresponding to the pixel units, and the method for calibrating the display structure comprising the following steps:

[0006] Acquiring second image data corresponding to a test image displayed by the display structure captured by a camera, wherein the test image is an image displayed by the display structure according to the first image data to be displayed and a first adjustment parameter, wherein the first adjustment parameter includes relative position deviations between different pixel units and corresponding lenses;

[0007] determining a calibration matrix of the display structure according to a deviation value between the second image data and standard image data corresponding to the first image data;

[0008] The display structure is controlled to display an image according to the calibration matrix.

[0009] Optionally, the step of determining the calibration matrix of the display structure according to the deviation value between the second image data and the standard image data corresponding to the first image data includes:

[0010] Correcting a distorted area in the second image data to obtain corrected image data;

[0011] filtering the corrected image data to obtain filtered image data;

[0012] Processing the filtered image according to an edge extraction algorithm to obtain display image data corresponding to the display area of ​​the display structure;

[0013] The calibration matrix is ​​calculated according to the deviation value between the standard image data and the display image data.

[0014] Optionally, the step of calculating the calibration matrix according to the deviation value between the standard image data and the display image data includes:

[0015] Calculating the deviation value corresponding to each pixel unit in the standard image data and the display image data;

[0016] Normalizing the deviation value to obtain a second adjustment parameter;

[0017] The calibration matrix is ​​calculated according to the first adjustment parameter and the second adjustment parameter.

[0018] Optionally, the step of calculating the deviation value corresponding to each pixel unit in the standard image data and the display image data includes:

[0019] When the standard image data is a monochrome image, determining a color difference between first sub-image data corresponding to each pixel unit in the standard image data and second sub-image data corresponding to each pixel unit in the display image data, wherein the deviation value includes the color difference;

[0020] When the standard image data is a fringe pattern, the standard image data is frequency-domain converted to obtain a standard spectrum diagram, and multiple sub-regions of the display image data are frequency-domain converted to obtain multiple sub-spectrum diagrams, and the deviation value is determined based on the difference between the sub-frequency of each sub-spectrum diagram and the standard frequency of the standard spectrum diagram.

[0021] Optionally, before the step of obtaining second image data corresponding to the test image displayed by the display structure captured by a camera, the method further includes:

[0022] determining an image interlacing algorithm according to the first adjustment parameter;

[0023] determining display positions of at least two sub-image data corresponding to the first image data according to the image interleaving algorithm, and generating the test image according to the display positions and the corresponding sub-image data;

[0024] The display structure is controlled to display the test image.

[0025] Optionally, before the step of determining the image interlacing algorithm according to the first adjustment parameter, the method further includes:

[0026] determining the first adjustment parameter based on a reference calibration matrix of a reference display structure, the reference display structure being a display structure of the same batch as the display structure; or

[0027] The first adjustment parameter is determined according to a simulation analysis result of the display structure.

[0028] Optionally, after the step of obtaining second image data corresponding to the test image displayed by the display structure captured by a camera, the method further includes:

[0029] calculating a uniformity parameter and a crosstalk parameter of the display structure according to the second image data;

[0030] When the uniformity parameter is greater than a preset uniformity, or when the crosstalk parameter is greater than a preset crosstalk parameter, the step of determining the calibration matrix of the display structure according to the deviation value of the standard image data corresponding to the second image data and the first image data is performed.

[0031] Furthermore, to achieve the above-mentioned object, the present invention further provides a calibration device for a display structure, the display structure comprising a display panel and a plurality of lenses disposed on the display panel, the display panel comprising a plurality of pixel units, the lenses being disposed corresponding to the pixel units, the calibration device for the display structure comprising:

[0032] an acquisition module, configured to acquire second image data corresponding to a test image displayed by the display structure and captured by a camera, wherein the test image is an image displayed by the display structure based on the first image data to be displayed and a first adjustment parameter, wherein the first adjustment parameter includes a relative position deviation between different pixel units and the corresponding lens;

[0033] a calculation module, configured to determine a calibration matrix of the display structure according to a deviation value between the second image data and standard image data corresponding to the first image data;

[0034] A display module is configured to control the display structure to display an image according to the calibration matrix.

[0035] In addition, to achieve the above-mentioned purpose, the present invention also provides a calibration device for a display structure, wherein the calibration device for the display structure comprises: a memory, a processor, and a calibration program for the display structure stored on the memory and executable on the processor, wherein the calibration program for the display structure is configured to implement the steps of the calibration method for the display structure described in any one of the above-mentioned items.

[0036] In addition, to achieve the above-mentioned purpose, the present invention also provides a storage medium, on which a calibration program for a display structure is stored. When the calibration program for a display structure is executed by a processor, the steps of the calibration method for a display structure described in any one of the above-mentioned items are implemented.

[0037] The present invention proposes a calibration method for a display structure. The method detects the second image data and, based on the difference between the standard image data and the second image data, determines abnormal areas and abnormal conditions caused by the unevenness of the lens bezel and the uneven bonding of the lens bezel, and determines a calibration matrix that can improve the screen display effect. The display structure is controlled to display images according to the calibration matrix, thereby reducing the problems of 3D display errors and deviations in some display areas caused by the unevenness of the lens bezel and the uneven bonding of the lens bezel, thereby improving the accuracy of image display on the naked-eye 3D display screen. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 It is a structural diagram of a calibration device for displaying a structure of a hardware operating environment involved in an embodiment of the present invention;

[0039] Figure 2 A schematic flow chart of a first embodiment of a calibration method for a display structure according to the present invention;

[0040] Figure 3 A schematic flow chart of a second embodiment of a method for calibrating a display structure according to the present invention;

[0041] Figure 4 A schematic flow chart of a third embodiment of a method for calibrating a display structure according to the present invention;

[0042] Figure 5 FIG. 4 is a flow chart of a fifth embodiment of a calibration method for a display structure according to the present invention.

[0043] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0044] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0045] Reference Figure 1 , Figure 1 A schematic diagram of the calibration device structure of the display structure of the hardware operating environment involved in the embodiment of the present invention.

[0046] like Figure 1As shown, the calibration device of the display structure may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, an interactive device 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The interactive device 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional interactive device 1003 may also be connected to the communication bus through a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a wireless fidelity (WIreless-FIdelity, WI-FI) interface). The memory 1005 may be a high-speed random access memory (Random Access Memory, RAM) memory, or a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk memory. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0047] In addition, the calibration device of the display structure further includes a camera, which can be used to capture second image data corresponding to the test image displayed by the display structure.

[0048] Those skilled in the art will understand that Figure 1 The structure shown in the figure does not constitute a limitation on the calibration device of the display structure, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0049] like Figure 1 As shown, the memory 1005 as a storage medium may include an operating system, a data storage module, a network communication module, a user interface module, and a calibration program for a display structure.

[0050] exist Figure 1 In the calibration device of the display structure shown, the network interface 1004 is mainly used for data communication with other devices; the interactive device 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the calibration device of the display structure of the present invention can be set in the calibration device of the display structure, and the calibration device of the display structure calls the calibration program of the display structure stored in the memory 1005 through the processor 1001, and executes the calibration method of the display structure provided by the embodiment of the present invention.

[0051] The embodiment of the present invention provides a calibration method for a display structure, referring to Figure 2 , Figure 2 FIG. 1 is a flow chart of a first embodiment of a calibration method for a display structure according to the present invention.

[0052] In this embodiment, the display structure is used to display a 3D image. The display structure includes a display panel and a plurality of lenses disposed on the display panel. The display panel includes a plurality of pixel units. The lenses are disposed corresponding to the pixel units. The calibration method of the display structure includes:

[0053] Step S10, obtaining second image data corresponding to a test image displayed by the display structure captured by a camera, wherein the test image is an image displayed by the display structure according to the first image data to be displayed and a first adjustment parameter, wherein the first adjustment parameter includes a relative position deviation between different pixel units and the corresponding lens;

[0054] In this embodiment, the camera captures the test image displayed by the display structure, and the display structure here can be a structure for displaying images on a naked-eye 3D display. The pixel unit here is a pixel display unit including three colors, and the lens here can correspond to one or more of the pixel units. The first adjustment parameter here is a matrix that matches the number of pixel units. For example, the display structure includes 100 by 100 pixel units, and the size of the matrix of the first adjustment parameter is 100 by 100. For naked-eye 3D, different pixels are separated into different areas through the lens, and the human eye sees images displayed by different pixels at different positions. For example: the image displayed by the first type of pixel unit is seen by the human eye at the first position, and the image displayed by the second type of pixel unit is seen by the human eye at the second position. By displaying different disparity maps on the first type of pixel unit and the second type of pixel unit, people can see 3D images. The position of the camera can only capture one of the disparity maps displayed by the display structure.

[0055] Step S20, determining a calibration matrix of the display structure according to a deviation value between the second image data and standard image data corresponding to the first image data;

[0056] The standard image data here is the image data of the standard display effect corresponding to the first image data. For example, in the red-blue image, the red-blue image is an image displayed at the pixel level with red and blue alternations by the display structure. However, due to the light splitting through the lens, a pure red image or a pure blue image is seen in a certain direction. Therefore, the standard image data here is determined according to the position where the second image is actually taken. By comparing the standard image data with the second image data, it is determined whether each specific pixel unit has a deviation from the lens. In actual production, due to problems such as the unevenness of the lens splitter film and the uneven bonding of the lens splitter film, the position of the lens and the display unit may deviate, resulting in inaccurate light splitting images, that is, the second image data and the standard image data may differ. The elements in the calibration matrix here are the offsets of the pixel unit and the lens corresponding to the pixel unit in a specific direction. Generally speaking, the specific direction here is the horizontal direction, but it can also be other directions.

[0057] Step S30: controlling the display structure to display an image according to the calibration matrix.

[0058] The image displayed by the pixel unit in the display structure is adjusted through the calibration matrix, so as to display the image required to be displayed.

[0059] In this embodiment, compared with the current calibration method, by detecting the second image data and determining the abnormal areas and abnormal conditions caused by the unevenness of the lens diaphragm and the uneven bonding of the lens diaphragm based on the difference between the standard image data and the second image data, a calibration matrix that can improve the screen display effect is determined, and the display structure is controlled to display the image based on the calibration matrix, thereby reducing the problems of 3D display errors and deviations in some display areas caused by the unevenness of the lens diaphragm and the uneven bonding of the lens diaphragm, thereby improving the accuracy of the image displayed on the naked-eye 3D display screen.

[0060] Further, based on the first embodiment, a second embodiment of the calibration method of the display structure of the present invention is proposed. In this embodiment, referring to Figure 3 The step of determining the calibration matrix of the display structure according to the deviation value between the second image data and the standard image data corresponding to the first image data includes:

[0061] Step S21, correcting the distorted area in the second image data to obtain corrected image data;

[0062] During the shooting process, the camera lens may experience distortion. Generally, the central area of ​​the image is free of distortion or exhibits minimal distortion, while the peripheral areas exhibit significant distortion. Specifically, the distortion of the camera lens during shooting can be corrected using linear transformation. Alternatively, lens parameters such as distortion rate and field of view can be used to correct the distorted areas in the second image data to obtain corrected image data.

[0063] Step S22, filtering the corrected image data to obtain filtered image data;

[0064] Generally, a Gaussian filter algorithm is used to filter the image data. This filter can remove noise, moiré patterns, and other artifacts generated by the image.

[0065] Step S23, processing the filtered image according to an edge extraction algorithm to obtain display image data corresponding to the display area of ​​the display structure;

[0066] Specifically, the edge extraction algorithm used can be determined based on the type of test image. For example, in the case of a stripe image, the edges of the stripes can be extracted based on the edge extraction algorithm. Furthermore, when the image capture includes a background area, the background area and the display area can be determined based on the edge extraction algorithm, and the display area can be cut out. In other embodiments, when the test image is a black and white image or a red and blue image, the edge extraction algorithm can be omitted from processing the filtered image data, and the filtered image data can be directly used as the display image data.

[0067] Step S24 : calculating the calibration matrix according to the deviation value between the standard image data and the display image data.

[0068] In this embodiment, the second adjustment parameter is determined by calculating the deviation value, and then the calibration matrix is ​​calculated based on the first adjustment parameter and the second adjustment parameter.

[0069] In this embodiment, display image data corresponding to the standard image data is obtained by correction, filtering, edge extraction, etc., and the calibration matrix is ​​calculated using the deviation value between the standard image data and the display image data, thereby improving the accuracy of calculating the calibration matrix.

[0070] Further, based on the second embodiment, a third embodiment of the calibration method of the display structure of the present invention is proposed. In this embodiment, referring to Figure 4 The step of calculating the calibration matrix according to the deviation value between the standard image data and the display image data includes:

[0071] Step S241, calculating the deviation value corresponding to each pixel unit in the standard image data and the display image data;

[0072] Specifically, the deviation value corresponding to each pixel unit in the displayed image and the standard image data may be calculated independently, and the deviation value corresponding to the pixel unit in the standard image data and the displayed image data is calculated.

[0073] Step S242, normalizing the deviation value to obtain a second adjustment parameter;

[0074] Since the range of deviation values ​​of different test images is not pure, for example, the difference between black and white in a black and white image depends on the depth of the image. For example, when the image depth is 8 bits, the maximum deviation value is 256, and when the image depth is 10 bits, the maximum deviation value is 1024. However, they both indicate that the pixel unit in the display structure is offset by a distance of the size of a pixel unit. Therefore, the deviation value needs to be normalized to obtain the second adjustment parameter.

[0075] Step S243: Calculate the calibration matrix according to the first adjustment parameter and the second adjustment parameter.

[0076] The first adjustment parameter and the second adjustment parameter are superimposed, that is, the elements at corresponding positions of the first adjustment parameter and the second adjustment parameter are added together to obtain the calibration matrix with the same size as the first adjustment parameter.

[0077] In this embodiment, the deviation values ​​corresponding to different pixels in the standard image data and the display image data are calculated and normalized to obtain accurate second adjustment parameters, thereby improving the accuracy of calculating the calibration matrix.

[0078] Furthermore, based on the third embodiment, a fourth embodiment of a calibration method for a display structure of the present invention is proposed. In this embodiment, the step of calculating the deviation value corresponding to each pixel unit in the standard image data and the display image data includes:

[0079] When the standard image data is a monochrome image, determining a color difference between first sub-image data corresponding to each pixel unit in the standard image data and second sub-image data corresponding to each pixel unit in the display image data, wherein the deviation value includes the color difference;

[0080] When the standard image data is a fringe pattern, the standard image data is frequency-domain converted to obtain a standard spectrum diagram, and multiple sub-regions of the display image data are frequency-domain converted to obtain multiple sub-spectrum diagrams, and the deviation value is determined based on the difference between the sub-frequency of each sub-spectrum diagram and the standard frequency of the standard spectrum diagram.

[0081] The standard image data here corresponds to the first image data. For example, when the first image data is a red-blue image, the first sub-image data corresponding to the standard image data is a monochrome image of pure red or pure blue. When the first image data is a black-and-white image, the first sub-image data corresponding to the standard image data is a monochrome image of pure black or pure white. When the standard image data is a stripe image, the standard image data is frequency-domain converted to obtain a standard spectrum graph, where positive and negative values ​​of the standard spectrum graph represent opposite offset directions. The display image data is divided into multiple sub-regions, and the sub-regions are frequency-domain converted to obtain multiple sub-spectrum graphs. There is a peak in the spectrum graph, and the peak is the sub-frequency of the sub-spectrum. The deviation value is determined based on the difference between the sub-frequency of each sub-spectrum graph and the standard frequency of the standard spectrum graph.

[0082] Because only the magnitude of the deviation can be determined but the direction of the deviation cannot be determined when the standard image data is a monochrome image, in some embodiments, the deviation value is used to determine the second adjustment parameter according to the first direction, and the calibration matrix is ​​calculated based on the second adjustment parameter and the first adjustment parameter. The calibration matrix is ​​used as the new first adjustment parameter. The step of obtaining second image data corresponding to the test image displayed on the display screen structure captured by the camera is then performed. A verification deviation value is determined based on the deviation between the second image data and the third image data of the standard display effect corresponding to the first image data and the second image data. The deviation value corresponding to each pixel unit is compared with the verification deviation value. When the deviation value is greater than or equal to the verification deviation value, the direction of the deviation value of the pixel unit is determined to be the first direction. When the deviation value is less than the verification deviation value, the direction of the deviation value of the pixel unit is determined to be the second direction opposite to the first direction. The direction corresponding to each pixel unit is determined by comparing the deviation value corresponding to the verification deviation value. In other embodiments, the first image data can be a red-blue image, a black-and-white image, or a striped image. The average deviation value of the three types of first image data corresponding to the standard image data is calculated, and the average deviation value is used as the deviation value.

[0083] In this embodiment, the deviation values ​​are calculated using different calculation methods according to the type of the standard image data, thereby improving the accuracy of the deviation values ​​calculated for the degree of deviation of each pixel unit, thereby avoiding the situation where the 3D display effect is poor due to positional deviations between the pixel units and the lenses in some areas of the display structure.

[0084] Furthermore, based on any of the above embodiments, a fifth embodiment of a calibration method for a display structure of the present invention is proposed, referring to Figure 5In this embodiment, before the step of obtaining the second image data corresponding to the test image displayed by the display structure captured by the camera, the method further includes:

[0085] Step S01, determining an image interlacing algorithm according to the first adjustment parameter;

[0086] The interleaving algorithm here is an algorithm for interleaving at least two sub-image data corresponding to the first image data.

[0087] Step S02, determining display positions of at least two sub-image data corresponding to the first image data according to the image interleaving algorithm, and generating the test image according to the display positions and the corresponding sub-image data;

[0088] At least two sub-image data are determined using the interleaving algorithm to display pixel units of the two sub-image data in the display structure. For example, when a single person is viewing a 3D display equipped with eye tracking, two sub-image data are used, and the two sub-image data are disparity maps. When multiple people are viewing, or when a single person is viewing without eye tracking, more than two sub-image data may need to be interleaved.

[0089] Step S03: controlling the display structure to display the test image.

[0090] The display structure is controlled to display the test image.

[0091] In this embodiment, the image interleaving algorithm is determined by the first adjustment parameter, and the display positions of at least two sub-image data are determined by interleaving at least two sub-image data of the first image data, thereby accurately displaying the test image.

[0092] Furthermore, before the step of determining the image interleaving algorithm according to the first adjustment parameter, the method further includes:

[0093] Determining the first adjustment parameter based on a reference calibration matrix of a reference display structure, the reference display structure being a display structure of the same batch as the display structure; or

[0094] The first adjustment parameter is determined according to a simulation analysis result of the display structure.

[0095] The reference display structure here refers to a display structure identical to that of the display panel batch. The display structure simulation analysis herein calculates the three-dimensional crosstalk of each view through the luminance distribution of each view, and performs simulation analysis using a vector expression of Fresnel's law and ray tracing. Specifically, because the first adjustment parameter affects the accuracy of the calibration matrix, the calculated calibration matrix is ​​generally used as the new first adjustment parameter, and a new calibration matrix is ​​recalculated to improve the accuracy of the calibration matrix.

[0096] By obtaining the first adjustment parameter by referring to a matrix or according to simulation analysis of the display structure, the number of times the calculated calibration matrix is ​​used as a new first adjustment parameter can be reduced, thereby quickly obtaining an accurate calibration matrix.

[0097] Furthermore, based on any of the above embodiments, a sixth embodiment of the display structure calibration method of the present invention is proposed. In this embodiment, after the step of obtaining second image data corresponding to the test image displayed by the display structure captured by the camera, the method further includes:

[0098] calculating a uniformity parameter and a crosstalk parameter of the display structure according to the second image data;

[0099] When the uniformity parameter is greater than a preset uniformity, or when the crosstalk parameter is greater than a preset crosstalk parameter, the step of determining the calibration matrix of the display structure according to the deviation value of the standard image data corresponding to the second image data and the first image data is performed.

[0100] The crosstalk parameter here refers to the situation where, when a dual-viewpoint or multi-viewpoint 3D display device emits light signals entering the left and right eyes, the light that should have entered the left eye enters the right eye, and the light that should have entered the right eye enters the left eye. The level of the crosstalk parameter is directly reflected on the screen in the depth of the ghosting and the blurring of the image when two images are played. It is an indicator for evaluating the quality of 3D display performance. The uniformity here refers to whether the brightness distribution from the center to the edge area is uniform. In this embodiment, after step S30, it also includes using the calibration matrix as the first adjustment parameter and returning to the step of obtaining the second image data corresponding to the test image displayed by the display structure captured by the camera.

[0101] In other embodiments, a uniformity parameter and a crosstalk parameter are used to determine whether the image displayed by the first adjustment parameter meets the requirements. When the uniformity parameter is greater than a preset uniformity, or when the crosstalk parameter is greater than a preset crosstalk parameter, a calibration matrix for the display structure is determined based on the deviation between the second image data and the standard image data. The calibration matrix is ​​then used as the new first adjustment parameter and iterated until the uniformity parameter is less than or equal to the preset uniformity and the crosstalk parameter is less than or equal to the preset crosstalk parameter, thereby ensuring that the output calibration matrix can accurately display the image on the naked-eye 3D display.

[0102] In addition, an embodiment of the present invention further provides a calibration device for a display structure, wherein the display structure includes a display panel and a plurality of lenses disposed on the display panel, the display panel includes a plurality of pixel units, and the lenses are disposed corresponding to the pixel units. The calibration device for the display structure includes:

[0103] an acquisition module, configured to acquire second image data corresponding to a test image displayed by the display structure and captured by a camera, wherein the test image is an image displayed by the display structure based on the first image data to be displayed and a first adjustment parameter, wherein the first adjustment parameter includes a relative position deviation between different pixel units and the corresponding lens;

[0104] a calculation module, configured to determine a calibration matrix of the display structure according to a deviation value between the second image data and standard image data corresponding to the first image data;

[0105] A display module is configured to control the display structure to display an image according to the calibration matrix.

[0106] In addition, an embodiment of the present invention further provides a storage medium storing a calibration program for a display structure. When the calibration program for a display structure is executed by a processor, the steps of the calibration method for a display structure described in any of the above embodiments are implemented.

[0107] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or system comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or system. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or system comprising the element.

[0108] The serial numbers of the above embodiments of the present invention are for description only and do not represent the advantages or disadvantages of the embodiments.

[0109] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better embodiment. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes a number of instructions for enabling a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in each embodiment of the present invention.

[0110] The above are only preferred embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for calibrating a display structure for displaying 3D images, characterized in that: The display structure includes a display panel and a plurality of lenses disposed on the display panel, the display panel includes a plurality of pixel units, and the lenses are disposed corresponding to the pixel units. The calibration method of the display structure includes the following steps: Acquiring second image data corresponding to a test image displayed by the display structure captured by a camera, wherein the test image is an image displayed by the display structure according to the first image data to be displayed and a first adjustment parameter, wherein the first adjustment parameter includes relative position deviations between different pixel units and corresponding lenses; Correcting a distorted area in the second image data to obtain corrected image data; filtering the corrected image data to obtain filtered image data; Processing the filtered image data according to an edge extraction algorithm to obtain display image data corresponding to the display area of ​​the display structure; When the standard image data corresponding to the first image data is a monochrome image, determining a color difference between first sub-image data corresponding to each pixel unit in the display image data in the standard image data and second sub-image data corresponding to each pixel unit in the display image data, the deviation value including the color difference; When the standard image data corresponding to the first image data is a fringe pattern, performing frequency domain conversion on the standard image data to obtain a standard spectrum graph, and performing frequency domain conversion on multiple sub-regions of the display image data to obtain multiple sub-spectrum graphs, and determining a deviation value based on a difference between a sub-frequency of each of the sub-spectrum graphs and a standard frequency of the standard spectrum graph; Normalizing the deviation value to obtain a second adjustment parameter; calculating a calibration matrix of the display structure according to the first adjustment parameter and the second adjustment parameter; The display structure is controlled to display an image according to the calibration matrix.

2. The display structure calibration method according to claim 1, wherein: Before the step of obtaining second image data corresponding to the test image displayed by the display structure captured by a camera, the method further includes: determining an image interlacing algorithm according to the first adjustment parameter; determining display positions of at least two sub-image data corresponding to the first image data according to the image interleaving algorithm, and generating the test image according to the display positions and the corresponding sub-image data; The display structure is controlled to display the test image.

3. The calibration method of the display structure according to claim 2, wherein: Before the step of determining the image interlacing algorithm according to the first adjustment parameter, the method further includes: determining the first adjustment parameter based on a reference calibration matrix of a reference display structure, the reference display structure being a display structure of the same batch as the display structure; or The first adjustment parameter is determined according to a simulation analysis result of the display structure.

4. The method for calibrating a display structure according to any one of claims 1 to 3, wherein: After the step of obtaining second image data corresponding to the test image displayed by the display structure captured by the camera, the method further includes: calculating a uniformity parameter and a crosstalk parameter of the display structure according to the second image data; When the uniformity parameter is greater than a preset uniformity, or when the crosstalk parameter is greater than a preset crosstalk parameter, the step of determining the calibration matrix of the display structure according to the deviation value of the standard image data corresponding to the second image data and the first image data is performed.

5. A calibration device for a display structure, characterized in that: A display structure includes a display panel and a plurality of lenses disposed on the display panel, wherein the display panel includes a plurality of pixel units, and the lenses are disposed corresponding to the pixel units. The calibration device of the display structure includes: an acquisition module, configured to acquire second image data corresponding to a test image displayed by the display structure and captured by a camera, wherein the test image is an image displayed by the display structure based on the first image data to be displayed and a first adjustment parameter, wherein the first adjustment parameter includes a relative position deviation between different pixel units and the corresponding lens; a calculation module configured to correct distorted areas in the second image data to obtain corrected image data; filter the corrected image data to obtain filtered image data; process the filtered image data according to an edge extraction algorithm to obtain display image data corresponding to the display area of ​​the display structure; when the standard image data corresponding to the first image data is a monochrome image, determine a color difference between first sub-image data corresponding to each pixel unit in the display image data in the standard image data and second sub-image data corresponding to the display image data, wherein a deviation value includes the color difference; when the standard image data corresponding to the first image data is a fringe pattern, perform frequency domain conversion on the standard image data to obtain a standard spectrum diagram, perform frequency domain conversion on multiple sub-areas of the display image data to obtain multiple sub-spectrum diagrams, and determine a deviation value based on the difference between a sub-frequency of each sub-spectrum diagram and a standard frequency of the standard spectrum diagram; normalize the deviation value to obtain a second adjustment parameter; and calculate a calibration matrix for the display structure based on the first adjustment parameter and the second adjustment parameter; A display module is configured to control the display structure to display an image according to the calibration matrix.

6. A calibration device for a display structure, characterized in that: The display structure calibration device includes: a memory, a processor, and a display structure calibration program stored in the memory and executable on the processor, wherein the display structure calibration program is configured to implement the steps of the display structure calibration method according to any one of claims 1 to 4.

7. A storage medium, characterized in that: The storage medium stores a calibration program for a display structure, and when the calibration program for the display structure is executed by a processor, the steps of the calibration method for a display structure according to any one of claims 1 to 4 are implemented.

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