Display moire elimination method and system for MiniLED virtual shooting large screen

Abstract

The invention discloses a method and a system for eliminating display moire patterns of a MiniLED virtual shooting large screen. The method comprises the following steps: acquiring a MiniLED unit arrangement mode of a MiniLED display screen, and structural parameters and display parameters of a display driving circuit; detecting the current moire appearance probability and the moire distribution condition of the display picture of the Mini LED display screen, and optimizing the arrangement mode of the Mini LED units and the structural parameters of the display driving circuit according to the current moire appearance probability and the moire distribution condition; detecting a pixel moire confidence value of an image in a display picture through software, and smoothing and filtering abnormal pixel points; and obtaining a watching demand of a user, and selectively optimizing the display parameters according to the watching demand. The moire reduction effect on the source can be achieved according to the design parameters of the display screen, and the product quality and the display picture quality are guaranteed. The watching experience of a user is guaranteed to the maximum extent, moire pattern elimination is carried out in a multi-level mode, and practicability and reliability are improved.

Description

Technical Field

[0001] The present invention relates to the field of display processing technology, and in particular to a method and system for eliminating display moiré of a MiniLED virtual shooting large screen. Background Art

[0002] At present, in the development of LED display technology, MiniLED has been widely used in the field of virtual shooting with its high resolution, high brightness, high contrast and other characteristics. However, in the process of virtual shooting, MiniLED large screens often have moiré due to factors such as camera shooting angle, focal length, aperture, and the limitations of the LED display's own performance. Moiré is a type of interference fringe caused by the overlap of two grid-like patterns with similar frequencies, which seriously affects the image quality of virtual shooting. Therefore, how to effectively eliminate the moiré of MiniLED virtual shooting large screens has become an urgent problem to be solved in the industry. Existing moiré elimination methods all avoid the appearance of moiré by reducing the refresh rate, resolution and color depth of the display, but this will reduce the user's viewing experience, fail to meet the user's high-quality requirements for the picture, and reduce the display effect. Summary of the invention

[0003] In response to the above-mentioned problems, the present invention provides a method and system for eliminating display moiré of a MiniLED virtual shooting large screen to solve the problem mentioned in the background technology that avoiding the appearance of moiré by reducing the refresh rate, resolution and color depth of the display screen will reduce the user's viewing experience, fail to meet the user's high-quality requirements for the picture, and reduce the display effect.

[0004] A method for eliminating display moiré of a MiniLED virtual shooting large screen comprises the following steps:

[0005] Obtain the MiniLED unit arrangement mode, the structural parameters of the display driving circuit, and the display parameters of the MiniLED display screen;

[0006] Detect the current occurrence probability and distribution of moiré patterns on the display screen of the MiniLED display screen, and optimize the MiniLED unit arrangement and the structural parameters of the display driving circuit according to the current occurrence probability and distribution of moiré patterns;

[0007] The software detects the pixel moiré confidence value of the image in the display screen and performs smoothing and filtering on abnormal pixels;

[0008] Obtain the user's viewing needs and selectively optimize display parameters based on the viewing needs.

[0009] Preferably, the step of obtaining the MiniLED unit arrangement mode, the structural parameters of the display driving circuit, and the display parameters of the MiniLED display screen includes:

[0010] Obtain the product manual of the MiniLED display, and obtain the MiniLED unit arrangement of the MiniLED display according to the product manual;

[0011] Determine the product model of the MiniLED display screen, and retrieve the structural parameters of the display driving circuit of the MiniLED display screen from a large database based on the product model;

[0012] Obtain the hardware configuration parameters of the MiniLED display screen from the product manual, and filter out the display hardware configuration parameters from the hardware configuration parameters;

[0013] The design parameters of the display hardware are determined according to the display hardware configuration parameters, and the display parameters are determined according to the design parameters of the display hardware.

[0014] Preferably, the detecting of the current occurrence probability and distribution of moiré patterns on the display screen of the MiniLED display screen, and optimizing the MiniLED unit arrangement mode and the structural parameters of the display driving circuit according to the current occurrence probability and distribution of moiré patterns, includes:

[0015] Obtain the color data matrix corresponding to the display screen of the MiniLED display screen, process the color data matrix, and determine the color value of each pixel;

[0016] Determine whether the color value of each pixel is greater than or equal to a preset threshold, if so, confirm that the pixel has moiré, if not, confirm that the pixel does not have moiré;

[0017] Count the distribution and number of pixels where moiré patterns appear, and determine the current probability of moiré patterns appearing and the moiré pattern distribution according to the distribution and number;

[0018] Determine the hardware optimization requirement coefficient according to the current moiré occurrence probability and moiré distribution, and determine whether the hardware optimization requirement coefficient is greater than or equal to a preset coefficient. If so, generate a hardware optimization reminder;

[0019] Based on the hardware optimization reminder, a voltage fluctuation index is determined according to the structural parameters of the display driving circuit, a circuit optimization item is determined based on the voltage fluctuation index, and the structural parameters of the display driving circuit are optimized according to the circuit optimization item;

[0020] Detect the arrangement complexity of the MiniLED unit arrangement, select an optimization method according to the arrangement complexity, and optimize the MiniLED unit arrangement according to the optimization method. The optimization methods include: increasing the number of MiniLED units in each row and column and changing the arrangement direction of the MiniLED units.

[0021] Preferably, the detecting the pixel moiré confidence value of the image in the display screen by software and performing smoothing and filtering on abnormal pixels comprises:

[0022] Detecting a first abnormal pixel point of an image in a display screen by software based on a moiré recognition algorithm, and obtaining a pixel feature of the first abnormal pixel point;

[0023] Inputting the pixel feature of each first abnormal pixel into the moiré feature recognition model to determine the moiré confidence probability value of each first abnormal pixel;

[0024] The abnormal pixels are screened out according to the moiré confidence probability value of each first abnormal pixel, and the abnormal pixels are smoothed and filtered based on image processing technology.

[0025] Preferably, obtaining the viewing requirements of the user and selectively optimizing the display parameters according to the viewing requirements includes:

[0026] Determine the video type that the user is watching, obtain the optimal display parameters for the video type, and determine the user's viewing needs for various display indicators based on the optimal display parameters;

[0027] Determine the current parameters and adjustable ranges of various display indicators according to the display parameters, and determine the adjustable display indicators based on the adjustable ranges and the viewing requirements of the user for the various display indicators;

[0028] Determine the adjustment value of the adjustable display indicator according to viewing requirements;

[0029] The adjustable display indicators are optimized and adjusted according to the adjustment values.

[0030] A system for removing moiré patterns from a MiniLED virtual shooting large screen, the system comprising:

[0031] An acquisition module, used to acquire the arrangement mode of the MiniLED units of the MiniLED display screen, the structural parameters of the display driving circuit, and the display parameters;

[0032] The first optimization module is used to detect the current occurrence probability and distribution of moiré patterns on the display screen of the MiniLED display screen, and optimize the MiniLED unit arrangement mode and the structural parameters of the display driving circuit according to the current occurrence probability and distribution of moiré patterns;

[0033] A processing module, used to detect the pixel moiré confidence value of the image in the display screen through software and perform smoothing and filtering on abnormal pixels;

[0034] The second optimization module is used to obtain the viewing requirements of the user and selectively optimize the display parameters according to the viewing requirements.

[0035] Preferably, the acquisition module includes:

[0036] An acquisition submodule is used to obtain a product manual of the MiniLED display screen, and obtain the arrangement of the MiniLED units of the MiniLED display screen according to the product manual;

[0037] A retrieval submodule is used to determine the product model of the MiniLED display screen, and retrieve the structural parameters of the display driving circuit of the MiniLED display screen in a large database according to the product model;

[0038] The screening submodule is used to obtain the hardware configuration parameters of the MiniLED display screen through the product manual, and screen out the display hardware configuration parameters from the hardware configuration parameters;

[0039] The first determination submodule is used to determine the design parameters of the display hardware according to the display hardware configuration parameters, and determine the display parameters according to the design parameters of the display hardware.

[0040] Preferably, the first optimization module includes:

[0041] The second determination submodule is used to obtain a color data matrix corresponding to the display screen of the MiniLED display screen, process the color data matrix, and determine the color value of each pixel;

[0042] A judgment submodule is used to judge whether the color value of each pixel is greater than or equal to a preset threshold value. If so, it is confirmed that the pixel has moiré patterns; if not, it is confirmed that the pixel does not have moiré patterns;

[0043] The third determination submodule is used to count the distribution and quantity of pixels where moiré patterns appear, and determine the current probability of occurrence of moiré patterns and the moiré pattern distribution according to the distribution and quantity;

[0044] A fourth determination submodule is used to determine a hardware optimization requirement coefficient according to the current moiré occurrence probability and moiré distribution, and to determine whether the hardware optimization requirement coefficient is greater than or equal to a preset coefficient, and if so, to generate a hardware optimization reminder;

[0045] A first optimization submodule is used to determine a voltage fluctuation index according to structural parameters of the display driving circuit based on the hardware optimization reminder, determine a circuit optimization item based on the voltage fluctuation index, and optimize the structural parameters of the display driving circuit according to the circuit optimization item;

[0046] The second optimization submodule is used to detect the arrangement complexity of the MiniLED unit arrangement, select an optimization method according to the arrangement complexity, and optimize the MiniLED unit arrangement according to the optimization method. The optimization methods include: increasing the number of MiniLED units in each row and column and changing the arrangement direction of the MiniLED units.

[0047] Preferably, the processing module comprises:

[0048] A detection submodule, used to detect a first abnormal pixel point of an image in a display screen based on a moiré recognition algorithm through software, and obtain a pixel feature of the first abnormal pixel point;

[0049] A fourth determination submodule, used for inputting the pixel feature of each first abnormal pixel into the moiré feature recognition model to determine the moiré confidence probability value of each first abnormal pixel;

[0050] The processing submodule is used to screen out abnormal pixels according to the moiré confidence probability value of each first abnormal pixel, and perform smoothing and filtering on the abnormal pixels based on image processing technology.

[0051] Preferably, the second optimization module includes:

[0052] The fifth determination submodule is used to determine the video type watched by the user, obtain the optimal display parameters of the video type watched, and determine the user's viewing requirements for various display indicators according to the optimal display parameters;

[0053] A sixth determination submodule, configured to determine current parameters and adjustable ranges of various display indicators according to the display parameters, and determine adjustable display indicators based on the adjustable ranges and the viewing requirements of the user for various display indicators;

[0054] A seventh determination submodule, used to determine an adjustment value of an adjustable display indicator according to viewing requirements;

[0055] The third optimization submodule is used to optimize and adjust the adjustable display index according to the adjustment value.

[0056] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0057] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0059] Figure 1 A flowchart of a method for eliminating display moiré of a MiniLED virtual shooting large screen provided by the present invention;

[0060] Figure 2 Another workflow diagram of a method for eliminating display moiré of a MiniLED virtual shooting large screen provided by the present invention;

[0061] Figure 3 A schematic diagram of the structure of a MiniLED virtual shooting large screen display moiré elimination system provided by the present invention;

[0062] Figure 4 This is a structural schematic diagram of an acquisition module in a display moiré elimination system for a MiniLED virtual shooting large screen provided by the present invention. DETAILED DESCRIPTION

[0063] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0064] At present, in the development of LED display technology, MiniLED has been widely used in the field of virtual shooting with its high resolution, high brightness, high contrast and other characteristics. However, in the process of virtual shooting, the MiniLED large screen often has moiré due to factors such as camera shooting angle, focal length, aperture, and the limitations of the LED display screen's own performance. Moiré is a kind of interference fringe caused by the overlap of two grid-like patterns with similar frequencies, which seriously affects the image quality of virtual shooting. Therefore, how to effectively eliminate the moiré of the MiniLED virtual shooting large screen has become an urgent problem to be solved in the industry. Existing moiré elimination methods all avoid the appearance of moiré by reducing the refresh rate, resolution and color depth of the display screen, but this will reduce the user's viewing experience, cannot meet the user's high-quality requirements for the picture, and reduce the display effect. In order to solve the above problems, the present embodiment discloses a method for eliminating display moiré of a MiniLED virtual shooting large screen.

[0065] A method for eliminating moiré patterns on a MiniLED virtual shooting large screen, such as Figure 1As shown, the following steps are included:

[0066] Step S101, obtaining the MiniLED unit arrangement mode of the MiniLED display screen, the structural parameters of the display driving circuit, and the display parameters;

[0067] Step S102, detecting the current occurrence probability and distribution of moiré patterns on the display screen of the MiniLED display screen, and optimizing the MiniLED unit arrangement mode and the structural parameters of the display driving circuit according to the current occurrence probability and distribution of moiré patterns;

[0068] Step S103, detecting the pixel moiré confidence value of the image in the display screen through software and performing smoothing and filtering on abnormal pixels;

[0069] Step S104: obtaining the viewing requirements of the user, and selectively optimizing the display parameters according to the viewing requirements.

[0070] The working principle of the above technical solution is: obtaining the MiniLED unit arrangement mode, structural parameters of the display driving circuit and display parameters of the MiniLED display screen; detecting the current moiré occurrence probability and moiré distribution of the display screen of the MiniLED display screen, and optimizing the MiniLED unit arrangement mode and structural parameters of the display driving circuit according to the current moiré occurrence probability and moiré distribution; detecting the pixel moiré confidence value of the image in the display screen through software and smoothing and filtering abnormal pixels; obtaining the user's viewing needs, and selectively optimizing the display parameters according to the viewing needs.

[0071] The beneficial effects of the above technical solution are: by performing moiré display tests on the produced MiniLED display screens and then optimizing their display driving circuits and the arrangement of the MiniLED units, the moiré reduction effect can be achieved at the source based on the design parameters of the display screen, thereby ensuring the quality of the product and the quality of the display picture. Furthermore, by using software to perform smoothing and filtering on the displayed image, the moiré can be detected and processed at a deeper level, thereby further ensuring the quality of the displayed picture. Furthermore, by adaptively adjusting the display parameters according to the user's viewing needs as the last step to eliminate the moiré, the user's viewing experience can be maximized. Moiré elimination is performed at multiple levels, which improves practicality and reliability, and solves the problem mentioned in the prior art of avoiding the appearance of moiré by reducing the refresh rate, resolution and color depth of the display screen, but it will reduce the user's viewing experience, cannot meet the user's high-quality requirements for the picture, and reduces the display effect.

[0072] In one embodiment, Figure 2As shown, the method of obtaining the MiniLED unit arrangement mode of the MiniLED display screen, the structural parameters of the display driving circuit, and the display parameters includes:

[0073] Step S201, obtaining a product manual of the MiniLED display screen, and obtaining a MiniLED unit arrangement mode of the MiniLED display screen according to the product manual;

[0074] Step S202: determine the product model of the MiniLED display screen, and retrieve the structural parameters of the display driving circuit of the MiniLED display screen from a large database according to the product model;

[0075] Step S203: Obtain the hardware configuration parameters of the MiniLED display screen through the product manual, and select the display hardware configuration parameters from the hardware configuration parameters;

[0076] Step S204: determining design parameters of the display hardware according to the display hardware configuration parameters, and determining display parameters according to the design parameters of the display hardware.

[0077] The beneficial effects of the above technical solution are: the structural parameters of the display driving circuit are obtained according to the product model of the MiniLED display screen. At the same time, the design parameters of the display hardware are determined by displaying the hardware configuration parameters, thereby determining the display parameters. The display hardware configuration and preset display parameters of the MiniLED display screen can be determined more finely and accurately, ensuring data accuracy and credibility.

[0078] In one embodiment, the detecting the current occurrence probability and distribution of moiré patterns on the display screen of the MiniLED display screen, and optimizing the MiniLED unit arrangement mode and the structural parameters of the display driving circuit according to the current occurrence probability and distribution of moiré patterns, includes:

[0079] Obtain the color data matrix corresponding to the display screen of the MiniLED display screen, process the color data matrix, and determine the color value of each pixel;

[0080] Determine whether the color value of each pixel is greater than or equal to a preset threshold, if so, confirm that the pixel has moiré, if not, confirm that the pixel does not have moiré;

[0081] Count the distribution and number of pixels where moiré patterns appear, and determine the current probability of moiré patterns appearing and the moiré pattern distribution according to the distribution and number;

[0082] Determine the hardware optimization requirement coefficient according to the current moiré occurrence probability and moiré distribution, and determine whether the hardware optimization requirement coefficient is greater than or equal to a preset coefficient. If so, generate a hardware optimization reminder;

[0083] Based on the hardware optimization reminder, a voltage fluctuation index is determined according to the structural parameters of the display driving circuit, a circuit optimization item is determined based on the voltage fluctuation index, and the structural parameters of the display driving circuit are optimized according to the circuit optimization item;

[0084] Detect the arrangement complexity of the MiniLED unit arrangement, select an optimization method according to the arrangement complexity, and optimize the MiniLED unit arrangement according to the optimization method. The optimization methods include: increasing the number of MiniLED units in each row and column and changing the arrangement direction of the MiniLED units.

[0085] The beneficial effects of the above technical solution are: determining the color value of each pixel according to the color data matrix corresponding to the display screen of the MiniLED display screen, judging whether moiré occurs in the color value, counting the distribution and number of pixels where moiré occurs, determining the hardware optimization requirement coefficient, and optimizing the structural parameters of the display driving circuit. The arrangement of the MiniLED units and the structural parameters of the display driving circuit can be adjusted in a targeted manner, thereby effectively reducing the occurrence of moiré and improving the display quality.

[0086] In this embodiment, after determining that the color value of the target pixel is less than a preset threshold, the method further includes:

[0087] Detecting a current pixel voltage of a target pixel point, and calculating a voltage difference between the current pixel voltage and a standard pixel voltage of the target pixel point;

[0088] Determine a first color scale deviation of the target pixel based on the voltage difference, and perform voltage compensation on the target pixel according to the color scale deviation;

[0089] Obtaining a second color scale deviation of the compensated target pixel, comparing the first color scale deviation with the second color scale deviation, and determining an abnormal attribute of the target pixel according to the comparison result;

[0090] Determine the cause of the moiré pattern at the target pixel based on the abnormal attributes and determine whether it can be eliminated and determine the elimination measures;

[0091] The moiré pattern is eliminated from the target pixel through elimination measures.

[0092] The beneficial effects of the above technical solution are: it can avoid the occurrence of erroneous judgment and can also effectively eliminate the moiré pattern, thereby ensuring the accuracy of controlling the final layout of the moiré pattern that cannot be eliminated.

[0093] In one embodiment, the method of detecting the pixel moiré confidence value of the image in the display screen by software and performing smoothing and filtering on abnormal pixels includes:

[0094] Detecting a first abnormal pixel point of an image in a display screen by software based on a moiré recognition algorithm, and obtaining a pixel feature of the first abnormal pixel point;

[0095] Inputting the pixel feature of each first abnormal pixel into the moiré feature recognition model to determine the moiré confidence probability value of each first abnormal pixel;

[0096] The abnormal pixels are screened out according to the moiré confidence probability value of each first abnormal pixel, and the abnormal pixels are smoothed and filtered based on image processing technology.

[0097] The beneficial effects of the above technical solution are: based on the moiré recognition algorithm, the pixel features of the first abnormal pixel point are obtained, and the moiré confidence probability value of each first abnormal pixel point is determined by inputting the moiré feature recognition model, the abnormal pixel points are screened out, and the abnormal pixel points are smoothed and filtered based on the image processing technology. The abnormal pixel points with moiré can be accurately determined and smoothed and filtered in a targeted manner, thereby improving the processing efficiency.

[0098] In one embodiment, obtaining the viewing requirements of the user and selectively optimizing the display parameters according to the viewing requirements includes:

[0099] Determine the video type that the user is watching, obtain the optimal display parameters for the video type, and determine the user's viewing needs for various display indicators based on the optimal display parameters;

[0100] Determine the current parameters and adjustable ranges of various display indicators according to the display parameters, and determine the adjustable display indicators based on the adjustable ranges and the viewing requirements of the user for the various display indicators;

[0101] Determine the adjustment value of the adjustable display indicator according to viewing requirements;

[0102] The adjustable display indicators are optimized and adjusted according to the adjustment values.

[0103] The beneficial effects of the above technical solution are: determining the user's viewing needs for various display indicators based on the optimal display parameters of the user's viewing video type, and determining the adjustable display indicators for the viewing needs of each display indicator based on the current parameters and adjustable range of each display indicator. By optimizing the indicators through adjustment values, the display effect can be enhanced and the user's viewing experience can be improved.

[0104] In one embodiment, this embodiment also discloses a system for eliminating moiré patterns on a MiniLED virtual shooting large screen. Figure 3 As shown, the system includes:

[0105] An acquisition module 301 is used to acquire the arrangement mode of the MiniLED units of the MiniLED display screen, the structural parameters of the display driving circuit, and the display parameters;

[0106] The first optimization module 302 is used to detect the current occurrence probability and distribution of moiré patterns in the display screen of the MiniLED display screen, and optimize the MiniLED unit arrangement mode and the structural parameters of the display driving circuit according to the current occurrence probability and distribution of moiré patterns;

[0107] The processing module 303 is used to detect the pixel moiré confidence value of the image in the display screen through software and perform smoothing and filtering on abnormal pixels;

[0108] The second optimization module 304 is used to obtain the viewing requirements of the user and selectively optimize the display parameters according to the viewing requirements.

[0109] The working principle and beneficial effects of the above technical solution have been explained in the method embodiment and will not be repeated here.

[0110] In one embodiment, Figure 4 As shown, the acquisition module 301 includes:

[0111] The acquisition submodule 3011 is used to acquire the product manual of the MiniLED display screen, and acquire the arrangement mode of the MiniLED units of the MiniLED display screen according to the product manual;

[0112] A search submodule 3012 is used to determine the product model of the MiniLED display screen, and retrieve the structural parameters of the display driving circuit of the MiniLED display screen in a large database according to the product model;

[0113] The screening submodule 3013 is used to obtain the hardware configuration parameters of the MiniLED display screen through the product manual, and screen out the display hardware configuration parameters from the hardware configuration parameters;

[0114] The first determining submodule 3014 is used to determine the design parameters of the display hardware according to the display hardware configuration parameters, and determine the display parameters according to the design parameters of the display hardware.

[0115] In one embodiment, the first optimization module includes:

[0116] The second determination submodule is used to obtain a color data matrix corresponding to the display screen of the MiniLED display screen, process the color data matrix, and determine the color value of each pixel;

[0117] A judgment submodule is used to judge whether the color value of each pixel is greater than or equal to a preset threshold value. If so, it is confirmed that the pixel has moiré patterns; if not, it is confirmed that the pixel does not have moiré patterns;

[0118] The third determination submodule is used to count the distribution and quantity of pixels where moiré patterns appear, and determine the current probability of occurrence of moiré patterns and the moiré pattern distribution according to the distribution and quantity;

[0119] A fourth determination submodule is used to determine a hardware optimization requirement coefficient according to the current moiré occurrence probability and moiré distribution, and to determine whether the hardware optimization requirement coefficient is greater than or equal to a preset coefficient, and if so, to generate a hardware optimization reminder;

[0120] A first optimization submodule is used to determine a voltage fluctuation index according to structural parameters of the display driving circuit based on the hardware optimization reminder, determine a circuit optimization item based on the voltage fluctuation index, and optimize the structural parameters of the display driving circuit according to the circuit optimization item;

[0121] The second optimization submodule is used to detect the arrangement complexity of the MiniLED unit arrangement, select an optimization method according to the arrangement complexity, and optimize the MiniLED unit arrangement according to the optimization method. The optimization methods include: increasing the number of MiniLED units in each row and column and changing the arrangement direction of the MiniLED units.

[0122] In one embodiment, the processing module comprises:

[0123] A detection submodule, used to detect a first abnormal pixel point of an image in a display screen based on a moiré recognition algorithm through software, and obtain a pixel feature of the first abnormal pixel point;

[0124] A fourth determination submodule, used for inputting the pixel feature of each first abnormal pixel into the moiré feature recognition model to determine the moiré confidence probability value of each first abnormal pixel;

[0125] The processing submodule is used to screen out abnormal pixels according to the moiré confidence probability value of each first abnormal pixel, and perform smoothing and filtering on the abnormal pixels based on image processing technology.

[0126] In one embodiment, the second optimization module includes:

[0127] The fifth determination submodule is used to determine the video type watched by the user, obtain the optimal display parameters of the video type watched, and determine the user's viewing requirements for various display indicators according to the optimal display parameters;

[0128] A sixth determination submodule, configured to determine current parameters and adjustable ranges of various display indicators according to the display parameters, and determine adjustable display indicators based on the adjustable ranges and the viewing requirements of the user for various display indicators;

[0129] A seventh determination submodule, used to determine an adjustment value of an adjustable display indicator according to viewing requirements;

[0130] The third optimization submodule is used to optimize and adjust the adjustable display index according to the adjustment value.

[0131] Those skilled in the art should understand that the first and second in the present invention merely refer to different application stages.

[0132] Other embodiments of the present disclosure will be readily apparent to those skilled in the art after considering the specification and practicing the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The specification and examples are to be considered exemplary only, and the true scope and spirit of the present disclosure are indicated by the following claims.

[0133] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A method for eliminating moiré patterns on a MiniLED virtual shooting large screen, characterized in that: The following steps are involved: Obtain the MiniLED unit arrangement mode, the structural parameters of the display driving circuit, and the display parameters of the MiniLED display screen; Detect the current occurrence probability and distribution of moiré patterns on the display screen of the MiniLED display screen, and optimize the MiniLED unit arrangement and the structural parameters of the display driving circuit according to the current occurrence probability and distribution of moiré patterns; The software detects the pixel moiré confidence value of the image in the display screen and performs smoothing and filtering on abnormal pixels; Obtain the user's viewing needs and selectively optimize display parameters based on the viewing needs.

2. The method for eliminating display moiré of a MiniLED virtual shooting large screen according to claim 1, characterized in that: The obtaining of the MiniLED unit arrangement mode of the MiniLED display screen, the structural parameters of the display driving circuit, and the display parameters includes: Obtain the product manual of the MiniLED display, and obtain the MiniLED unit arrangement of the MiniLED display according to the product manual; Determine the product model of the MiniLED display screen, and retrieve the structural parameters of the display driving circuit of the MiniLED display screen from a large database based on the product model; Obtain the hardware configuration parameters of the MiniLED display screen from the product manual, and filter out the display hardware configuration parameters from the hardware configuration parameters; The design parameters of the display hardware are determined according to the display hardware configuration parameters, and the display parameters are determined according to the design parameters of the display hardware.

3. The method for eliminating display moiré of a MiniLED virtual shooting large screen according to claim 1, characterized in that: The detecting the current occurrence probability and distribution of moiré patterns on the display screen of the MiniLED display screen, and optimizing the MiniLED unit arrangement mode and the structural parameters of the display driving circuit according to the current occurrence probability and distribution of moiré patterns, includes: Obtain the color data matrix corresponding to the display screen of the MiniLED display screen, process the color data matrix, and determine the color value of each pixel; Determine whether the color value of each pixel is greater than or equal to a preset threshold, if so, confirm that the pixel has moiré, if not, confirm that the pixel does not have moiré; Count the distribution and number of pixels where moiré patterns appear, and determine the current probability of moiré patterns appearing and the moiré pattern distribution according to the distribution and number; Determine the hardware optimization requirement coefficient according to the current moiré occurrence probability and moiré distribution, and determine whether the hardware optimization requirement coefficient is greater than or equal to a preset coefficient. If so, generate a hardware optimization reminder; Based on the hardware optimization reminder, a voltage fluctuation index is determined according to the structural parameters of the display driving circuit, a circuit optimization item is determined based on the voltage fluctuation index, and the structural parameters of the display driving circuit are optimized according to the circuit optimization item; Detect the arrangement complexity of the MiniLED unit arrangement, select an optimization method according to the arrangement complexity, and optimize the MiniLED unit arrangement according to the optimization method. The optimization methods include: increasing the number of MiniLED units in each row and column and changing the arrangement direction of the MiniLED units.

4. The method for eliminating display moiré of a MiniLED virtual shooting large screen according to claim 1, characterized in that: The method of detecting the pixel moiré confidence value of the image in the display screen by software and performing smoothing and filtering on abnormal pixels includes: Detecting a first abnormal pixel point of an image in a display screen by software based on a moiré recognition algorithm, and obtaining a pixel feature of the first abnormal pixel point; Inputting the pixel feature of each first abnormal pixel into the moiré feature recognition model to determine the moiré confidence probability value of each first abnormal pixel; The abnormal pixels are screened out according to the moiré confidence probability value of each first abnormal pixel, and the abnormal pixels are smoothed and filtered based on image processing technology.

5. The method for eliminating display moiré of a MiniLED virtual shooting large screen according to claim 1, characterized in that: The obtaining of the viewing requirements of the user and selectively optimizing the display parameters according to the viewing requirements includes: Determine the video type that the user is watching, obtain the optimal display parameters for the video type, and determine the user's viewing needs for various display indicators based on the optimal display parameters; Determine the current parameters and adjustable ranges of various display indicators according to the display parameters, and determine the adjustable display indicators based on the adjustable ranges and the viewing requirements of the user for the various display indicators; Determine the adjustment value of the adjustable display indicator according to viewing requirements; The adjustable display indicators are optimized and adjusted according to the adjustment values.

6. A system for removing moiré from a MiniLED virtual shooting large screen, characterized in that: The system includes: An acquisition module, used to acquire the arrangement mode of the MiniLED units of the MiniLED display screen, the structural parameters of the display driving circuit, and the display parameters; The first optimization module is used to detect the current occurrence probability and distribution of moiré patterns on the display screen of the MiniLED display screen, and optimize the MiniLED unit arrangement mode and the structural parameters of the display driving circuit according to the current occurrence probability and distribution of moiré patterns; A processing module, used to detect the pixel moiré confidence value of the image in the display screen through software and perform smoothing and filtering on abnormal pixels; The second optimization module is used to obtain the viewing requirements of the user and selectively optimize the display parameters according to the viewing requirements.

7. The system for removing moiré from a MiniLED virtual shooting large screen according to claim 6, characterized in that: The acquisition module comprises: An acquisition submodule is used to obtain a product manual of the MiniLED display screen, and obtain the arrangement of the MiniLED units of the MiniLED display screen according to the product manual; A retrieval submodule is used to determine the product model of the MiniLED display screen, and retrieve the structural parameters of the display driving circuit of the MiniLED display screen in a large database according to the product model; The screening submodule is used to obtain the hardware configuration parameters of the MiniLED display screen through the product manual, and screen out the display hardware configuration parameters from the hardware configuration parameters; The first determination submodule is used to determine the design parameters of the display hardware according to the display hardware configuration parameters, and determine the display parameters according to the design parameters of the display hardware.

8. The system for removing moiré from a MiniLED virtual shooting large screen according to claim 6, characterized in that: The first optimization module comprises: The second determination submodule is used to obtain a color data matrix corresponding to the display screen of the MiniLED display screen, process the color data matrix, and determine the color value of each pixel; A judgment submodule is used to judge whether the color value of each pixel is greater than or equal to a preset threshold value. If so, it is confirmed that the pixel has moiré patterns; if not, it is confirmed that the pixel does not have moiré patterns; The third determination submodule is used to count the distribution and quantity of pixels where moiré patterns appear, and determine the current probability of occurrence of moiré patterns and the distribution of moiré patterns according to the distribution and quantity; A fourth determination submodule is used to determine a hardware optimization requirement coefficient according to the current moiré occurrence probability and moiré distribution, and to determine whether the hardware optimization requirement coefficient is greater than or equal to a preset coefficient, and if so, to generate a hardware optimization reminder; A first optimization submodule is used to determine a voltage fluctuation index according to structural parameters of the display driving circuit based on the hardware optimization reminder, determine a circuit optimization item based on the voltage fluctuation index, and optimize the structural parameters of the display driving circuit according to the circuit optimization item; The second optimization submodule is used to detect the arrangement complexity of the MiniLED unit arrangement, select an optimization method according to the arrangement complexity, and optimize the MiniLED unit arrangement according to the optimization method. The optimization methods include: increasing the number of MiniLED units in each row and column and changing the arrangement direction of the MiniLED units.

9. The system for removing moiré from a MiniLED virtual shooting large screen according to claim 6, characterized in that: The processing module comprises: A detection submodule, used to detect a first abnormal pixel point of an image in a display screen based on a moiré recognition algorithm through software, and obtain a pixel feature of the first abnormal pixel point; A fourth determination submodule, used for inputting the pixel feature of each first abnormal pixel into the moiré feature recognition model to determine the moiré confidence probability value of each first abnormal pixel; The processing submodule is used to screen out abnormal pixels according to the moiré confidence probability value of each first abnormal pixel, and perform smoothing and filtering on the abnormal pixels based on image processing technology.

10. The system for removing moiré from a MiniLED virtual shooting large screen according to claim 6, characterized in that: The second optimization module comprises: The fifth determination submodule is used to determine the video type watched by the user, obtain the optimal display parameters of the video type watched, and determine the user's viewing requirements for various display indicators according to the optimal display parameters; A sixth determination submodule, configured to determine current parameters and adjustable ranges of various display indicators according to the display parameters, and determine adjustable display indicators based on the adjustable ranges and the viewing requirements of the user for various display indicators; A seventh determination submodule, used to determine an adjustment value of an adjustable display indicator according to viewing requirements; The third optimization submodule is used to optimize and adjust the adjustable display index according to the adjustment value.

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