A method for processing display quality of virtual simulation images

Abstract

The invention discloses a virtual simulation image display quality processing method, which belongs to the field of image processing technology; it is used to solve the technical problems of poor autonomous supervision and analysis effect of virtual simulation image display and poor autonomous display quality processing effect in existing solutions; the final parameters of the image in the virtual display and the corresponding actual display parameters are processed and digitally represented; the display states corresponding to different virtual screens are digitally processed, calculated and analyzed, and different virtual screens are marked and combined according to the analysis results; data calculation is performed on the parameter display abnormality influence corresponding to all abnormal display data items from different aspects to obtain the corresponding first virtual abnormality degree and second virtual abnormality degree, the first virtual abnormality degree and the second virtual abnormality degree are processed and data analyzed, and the display of the processed image corresponding to the abnormal virtual screen is adaptively optimized and managed in a targeted manner.

Description

Technical Field

[0001] The present invention relates to the technical field of image processing, and in particular to a method for processing the display quality of a virtual simulation image. Background Art

[0002] Virtual simulation image display is the creation of three-dimensional images and simulated environments through computer generation technology, allowing users to view and operate objects in virtual space. This display technology is used for design verification, training, education and display, providing a visual experience similar to the real environment.

[0003] Adaptive correction of images on different hardware devices to ensure consistent display effects on various screens. The existing color space and channel correction technologies are mainly based on two methods: hardware correction and software correction. Hardware correction usually requires additional hardware equipment or professional adjustment, which is costly and difficult to implement. Although software correction can be performed at the software level, it often requires complex algorithms and a large amount of computing resources, and is difficult to use in real-time applications. In addition, when implementing the existing virtual simulation image display quality processing solutions, there is no abnormal display processing analysis of different parameter data items for abnormal virtual screen displays, and no calculation and analysis of the display impacts corresponding to all abnormal display data items corresponding to all abnormal virtual screen displays, and the virtual display corresponding to the abnormal virtual screen cannot be adaptively optimized and managed according to the analysis results. There are poor autonomous supervision and analysis effects on virtual simulation image displays and poor autonomous display quality processing effects. Summary of the invention

[0004] The purpose of the present invention is to provide a virtual simulation image display quality processing method for solving the technical problems of poor autonomous supervision and analysis effect of virtual simulation image display and poor autonomous display quality processing effect in existing solutions.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A method for processing display quality of a virtual simulation image, comprising:

[0007] Obtain the source ICC profile corresponding to the actual display screen of the image, pre-process the image, and obtain a processed image;

[0008] Obtaining processing standard display parameters corresponding to the processed image; the processing standard display parameters include several parameter data items;

[0009] According to the source ICC profile, obtain virtual display parameters and virtual ICC profiles corresponding to all virtual screens to be virtually simulated by the processed image;

[0010] Using simulation software to build models of different virtual screens using virtual display parameters in a simulation environment, and associating virtual ICC profiles corresponding to the virtual screens;

[0011] Simulate and display the processed image on different virtual screens constructed by simulation software in sequence, and obtain simulation display parameters corresponding to the processed image displayed on different virtual screens;

[0012] Performing display consistency analysis on the simulation display parameters corresponding to the processed images displayed on different virtual screens to obtain display consistency analysis data corresponding to the different virtual screens;

[0013] According to the abnormal display label in the display consistency analysis data, the display of the corresponding processed image of the abnormal virtual screen is optimized and managed in a targeted manner; the targeted optimization management includes implementing an existing conventional calibration scheme or implementing a calibration optimization scheme.

[0014] Preferably, the image is preprocessed, including color space mapping and channel correction of the image.

[0015] Preferably, different virtual screens are obtained and marked as i, i={1, 2, 3, ..., n}, and n is a positive integer; and simulation display parameters corresponding to different virtual screens are obtained, and different parameter data items in the simulation display parameters corresponding to different virtual screens are marked as FXij; j is a different parameter data item in the simulation display parameters, j={1, 2, 3, ..., m}, and m is a positive integer;

[0016] Perform data analysis on all parameter data items in the simulation display parameters corresponding to different virtual screen display processing images through a parameter consistent identification piecewise function, and output parameter identification identifiers corresponding to different parameter data items;

[0017] The parameter identification identifier includes a value of 0 or 1, indicating that the parameter simulation display of the corresponding parameter data item is normal or abnormal;

[0018] The parameter identification marks obtained by corresponding processing of all parameter data items in the simulation display parameters corresponding to the virtual screen are sorted and combined to obtain a parameter identification mark sequence corresponding to the virtual screen.

[0019] Preferably, the expression for the parameter uniformly identifying the piecewise function is Wherein, CSij is the parameter identification identifier corresponding to different parameter data items; Uij is the matching range of different parameter data items in the processing standard display parameters corresponding to the processed image.

[0020] Preferably, when performing data analysis on the parameter identification sequence to determine the display consistency state corresponding to the corresponding virtual screen, the parameter identification sequence is traversed and analyzed;

[0021] If there is no element with a value of 1 in the parameter identification sequence, a normal display label is generated and the corresponding virtual screen is marked as a normal virtual screen;

[0022] If there is an element with a value of 1 in the parameter identification sequence, an abnormal display label is generated and the corresponding virtual screen is marked as an abnormal virtual screen;

[0023] Normal display labels or abnormal display labels corresponding to all virtual screens and their corresponding marks are sorted and combined to obtain display consistency analysis data corresponding to different virtual screens.

[0024] Preferably, the display consistency analysis data is traversed and analyzed to see whether there is an abnormal display tag, and the parameter identification identifiers with a value of 1 in the parameter identification identifier sequence are obtained in sequence according to the different abnormal display tags, and the parameter data item to which the parameter identification identifier with a value of 1 belongs is marked as an abnormal display data item;

[0025] The total number of abnormalities corresponding to all abnormal display data items appearing on all abnormal virtual screens are associated and sorted and combined to obtain an abnormal display combination sequence.

[0026] Preferably, all data in the abnormal display combination sequence are processed by the first virtual abnormal formula Calculate and obtain the first virtual abnormality degree XY1 corresponding to all abnormal virtual screens; where N2 is the total number of all abnormal display data items; N is the total number of all parameter data items in the simulation display parameters; A is the standard value of the abnormal impact rate;

[0027] And, through the second virtual anomaly formula Calculate and obtain the second virtual abnormality degree XY2 corresponding to all abnormal virtual screens; where CQj′ is the display weight corresponding to different abnormal display data items; N1 is the total number of abnormalities corresponding to different abnormal display data items; and B is the virtual abnormality integration standard value.

[0028] Preferably, when determining the virtual support status corresponding to the virtual ICC profiles of all abnormal virtual screens based on the first virtual abnormality degree and the second virtual abnormality degree, the first virtual abnormality degree and the second virtual abnormality degree are input into the virtual support identification segmentation function for data analysis and the corresponding virtual support identifier is output, and the virtual support identifiers corresponding to the first virtual abnormality degree and the second virtual abnormality degree are sorted and combined to obtain a virtual support sequence.

[0029] Preferably, the expression of the virtual support identifying the piecewise function is Wherein, k=1, 2; XZk is XZ1 and XZ2, which are virtual support identifiers corresponding to the first virtual abnormality and the second virtual abnormality, respectively; XYk is XY1 and XY2.

[0030] Preferably, the virtual support sequence is traversed and analyzed, and if there is no element with a value of 1 in the virtual support sequence, an existing conventional calibration scheme is implemented;

[0031] If there is an element with a value of 1 in the virtual support sequence, the calibration optimization scheme is implemented.

[0032] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0033] The present invention processes and digitally represents the final parameters of the image in the virtual display and the corresponding actual display parameters, thereby providing reliable analysis data support for the display analysis management of subsequent images adapted to different actual devices.

[0034] The present invention obtains display consistency analysis data corresponding to different virtual screens by digitally processing, calculating and analyzing the display states corresponding to different virtual screens, and marking and combining different virtual screens according to the analysis results, which can provide reliable screening data support for the targeted optimization management of the display of subsequent image processing.

[0035] The present invention calculates the abnormal display effects of parameters corresponding to all abnormal display data items from different aspects to obtain the corresponding first virtual abnormality degree and second virtual abnormality degree, performs data analysis and combines the first virtual abnormality degree and the second virtual abnormality degree to obtain a virtual support sequence, performs data analysis on the virtual support sequence and adaptively performs targeted optimization management on the display of the processed image corresponding to the abnormal virtual screen, thereby improving the autonomous supervision and analysis effect of the virtual simulation image display and the autonomous processing effect of the display quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The present invention will be further described below in conjunction with the accompanying drawings.

[0037] Figure 1 The present invention is a flowchart of a method for processing the display quality of a virtual simulation image.

[0038] Figure 2 It is a flowchart of the virtual screen display state identification and classification in the present invention. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] like Figure 1As shown, the present invention is a method for processing the display quality of a virtual simulation image, comprising:

[0041] Obtain the source ICC profile corresponding to the actual display screen of the image, pre-process the image, and obtain a processed image;

[0042] Among them, the ICC profile is a standard file format used to define color space characteristics and conversion rules so that colors can be presented consistently between devices;

[0043] Image preprocessing, including color space mapping and channel correction, can be implemented based on the Unity platform. Unity is a very popular cross-platform game development engine that is also widely used in virtual reality (VR), augmented reality (AR), 3D simulation and visualization projects. Unity provides a powerful development environment that supports multiple programming languages ​​(such as C#, JavaScript and Boo), and can publish games and applications on multiple platforms, including Windows, Mac, Linux, iOS, Android, WebGL, PlayStation, Xbox, etc.

[0044] It should be noted that the color space mapping of an image refers to the process of converting the color values ​​in one color space to another color space;

[0045] A color space can be defined as a set of rules or conventions that describe how colors are represented mathematically; common color spaces include RGB color space, CMYK color space, HSV / HSB color space, and CIELAB color space;

[0046] Color space mapping usually involves color conversion algorithms, gamma correction, and color management:

[0047] Image channel correction refers to adjusting the brightness, contrast or other properties of each color channel in the image (usually red, green and blue channels) to improve the overall appearance of the image or achieve a specific effect; this correction is often used in digital image processing to optimize the color balance of the image, enhance details or repair problems caused by poor shooting conditions;

[0048] In the typical RGB color space, each color image consists of three independent channels: red, green, and blue; each channel contains a grayscale image that represents the distribution of the color component in the entire image. By adjusting these channels, the performance of various colors in the image can be changed;

[0049] Channel corrections include, but are not limited to, brightness and contrast adjustments, curves adjustments, color balance adjustments, selective color adjustments, separation channels, blending modes, and levels adjustments;

[0050] The color space mapping and channel correction of the image in the embodiment of the present invention are both existing conventional technical solutions, and the specific implementation steps are not repeated here;

[0051] Obtaining processing standard display parameters corresponding to the processed image; the processing standard display parameters include several parameter data items, including but not limited to color value, brightness, contrast, etc.;

[0052] According to the source ICC profile, obtain virtual display parameters and virtual ICC profiles corresponding to all virtual screens to be virtually simulated by the processed image;

[0053] The virtual display parameters include but are not limited to the model, size, resolution, color gamut, etc. of the virtual screen;

[0054] Furthermore, all virtual screens to be virtually simulated may be determined based on all actual display screens displayed by subsequent actual applications of the processed images;

[0055] Using simulation software to build models of different virtual screens using virtual display parameters in a simulation environment, and associating virtual ICC profiles corresponding to the virtual screens; the simulation software may be a Unity platform;

[0056] The processed image is sequentially simulated and displayed on different virtual screens constructed by simulation software, and simulation display parameters corresponding to the processed image displayed on different virtual screens are obtained; the specific data of the simulation display parameters correspond to the processing standard display parameters;

[0057] Performing display consistency analysis on the simulation display parameters corresponding to the processed images displayed on different virtual screens to obtain display consistency analysis data corresponding to different virtual screens; including:

[0058] Obtain different virtual screens and mark them as i, i = {1, 2, 3, ..., n}, n is a positive integer; and obtain simulation display parameters corresponding to different virtual screens, and mark different parameter data items in the simulation display parameters corresponding to different virtual screens as FXij; j is a different parameter data item in the simulation display parameters, j = {1, 2, 3, ..., m}, m is a positive integer;

[0059] Perform data analysis on all parameter data items in the simulation display parameters corresponding to different virtual screen display processing images through a parameter consistent identification piecewise function, and output parameter identification identifiers corresponding to different parameter data items;

[0060] Among them, the expression of the parameter consistent identification piecewise function is Wherein, CSij is the parameter identification corresponding to different parameter data items; Uij is the matching range of different parameter data items in the processing standard display parameters corresponding to the processing image, which can be constructed by the processing standard display parameters corresponding to the processing image and the error design requirements of the corresponding parameter data items;

[0061] It should be noted that the parameter identification mark is used to digitally represent the simulation display states corresponding to different parameter data items in the simulation display parameters corresponding to different virtual screen display processes;

[0062] It is worth noting that even if the same color profile is used, the final parameters of the image in the virtual display (such as color value, brightness, contrast, etc.) may not be exactly the same. This is because there are some inherent differences between the virtual display environment and the actual physical screen. These differences may cause different display effects; some factors that may cause differences include color management, display characteristics, lighting simulation, virtual environment settings, virtual screen models, and virtual simulation software limitations;

[0063] In the embodiment of the present invention, by processing and digitally representing the final parameters of the image in the virtual display and the corresponding actual display parameters, reliable analysis data support can be provided for the subsequent display analysis management of the image to adapt to different actual devices;

[0064] Sorting and combining the parameter identification marks obtained by corresponding processing of all parameter data items in the simulation display parameters corresponding to the virtual screen to obtain a parameter identification mark sequence corresponding to the virtual screen;

[0065] In the embodiment of the present invention, by digitally processing and combining all parameter data items displayed on different virtual screens, parameter identification sequences corresponding to different virtual screen displays are obtained, which can provide reliable data support for subsequent display status analysis of different virtual screens.

[0066] like Figure 2 As shown, when performing data analysis on the parameter identification sequence to determine the display consistency state corresponding to the corresponding virtual screen, the parameter identification sequence is traversed and analyzed;

[0067] If there is no element with a value of 1 in the parameter identification sequence, a normal display label is generated and the corresponding virtual screen is marked as a normal virtual screen;

[0068] If there is an element with a value of 1 in the parameter identification sequence, an abnormal display label is generated and the corresponding virtual screen is marked as an abnormal virtual screen;

[0069] Sorting and combining normal display labels or abnormal display labels corresponding to all virtual screens and their corresponding marks to obtain display consistency analysis data corresponding to different virtual screens;

[0070] In the embodiment of the present invention, by performing digital processing, calculation and analysis on the display states corresponding to different virtual screens, and marking and combining different virtual screens according to the analysis results, display consistency analysis data corresponding to different virtual screens is obtained, which can provide reliable screening data support for the targeted optimization management of the display of subsequent image processing;

[0071] According to the abnormal display label in the display consistency analysis data, the display of the corresponding processed image of the abnormal virtual screen is optimized and managed in a targeted manner; including:

[0072] Traverse and analyze the display consistency analysis data to see if there are abnormal display tags, and sequentially obtain the parameter identification identifiers with a value of 1 in the parameter identification identifier sequence according to the different abnormal display tags, and mark the parameter data item to which the parameter identification identifier with a value of 1 belongs as an abnormal display data item;

[0073] The total number of abnormalities corresponding to all abnormal display data items appearing on all abnormal virtual screens is associated and sorted to obtain an abnormal display combination sequence;

[0074] All data in the abnormal display combination sequence are passed through the first virtual abnormal formula Calculate and obtain the first virtual abnormality degree XY1 corresponding to all abnormal virtual screens; where N2 is the total number of all abnormal display data items; N is the total number of all parameter data items in the simulation display parameters; A is the standard value of the abnormality impact rate, which can be determined according to the existing design requirement data of the virtual display abnormality corresponding to the image;

[0075] And, through the second virtual anomaly formula Calculate and obtain the second virtual abnormality degree XY2 corresponding to all abnormal virtual screens; where CQj′ is the display weight corresponding to different abnormal display data items; N1 is the total number of abnormalities corresponding to different abnormal display data items; B is the virtual abnormality integration standard value, which can be determined according to the existing design requirement data of the virtual display abnormality corresponding to the image;

[0076] Among them, different abnormal display data items are pre-set with a corresponding display weight, and the display weight is used to digitally represent the display influence corresponding to different parameter data items. The specific values ​​of the display weights corresponding to different parameter data items can be set by professional and technical personnel in this field based on work experience and historical simulation big data;

[0077] It should be noted that the first virtual abnormality degree and the second virtual abnormality degree are used to digitally represent the abnormal display effects of the parameters corresponding to all abnormal display data items that appear from different aspects;

[0078] When determining the virtual support status corresponding to the virtual ICC profiles of all abnormal virtual screens according to the first virtual abnormality degree and the second virtual abnormality degree, the first virtual abnormality degree and the second virtual abnormality degree are input into the virtual support identification piecewise function for data analysis and output corresponding virtual support identifiers, and the virtual support identifiers corresponding to the first virtual abnormality degree and the second virtual abnormality degree are sorted and combined to obtain a virtual support sequence;

[0079] Among them, the expression of the virtual support identification piecewise function is Wherein, k=1, 2; XZk is XZ1, XZ2, which are virtual support identifiers corresponding to the first virtual abnormality and the second virtual abnormality, respectively; XYk is XY1, XY2;

[0080] Perform traversal analysis on the virtual support sequence, and if there is no element with a value of 1 in the virtual support sequence, implement the existing conventional calibration scheme;

[0081] If there is an element with a value of 1 in the virtual support sequence, a calibration optimization scheme is implemented to achieve targeted display quality processing for different virtual support states, thereby improving the autonomous display quality processing effect;

[0082] Among them, the calibration optimization solution can implement targeted calibration processing for all abnormal display data items, including but not limited to: Unity rendering setting adjustment, color space consistency adjustment, disabling texture compression, color management setting consistency adjustment, etc.;

[0083] In an embodiment of the present invention, data calculation is performed on the parameter display abnormality impact corresponding to all abnormal display data items that appear from different aspects to obtain the corresponding first virtual abnormality degree and second virtual abnormality degree, and data analysis and combination are performed on the first virtual abnormality degree and the second virtual abnormality degree to obtain a virtual support sequence, and data analysis is performed on the virtual support sequence and the display of the processed image corresponding to the abnormal virtual screen is adaptively optimized and managed in a targeted manner, thereby improving the autonomous supervision and analysis effect of the virtual simulation image display and the autonomous processing effect of the display quality.

[0084] In addition, the formulas involved in the above are all dimensionless and numerical calculations. They are a formula that is closest to the actual situation obtained by collecting a large amount of data and simulating it with simulation software.

[0085] In the several embodiments provided by the present invention, it should be understood that the disclosed method can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.

[0086] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0087] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0088] It is obvious to a person skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the essential characteristics of the present invention.

[0089] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for processing the display quality of a virtual simulation image, characterized in that: include: Obtain the source ICC profile corresponding to the actual display screen of the image, pre-process the image, and obtain a processed image; Obtaining processing standard display parameters corresponding to the processed image; the processing standard display parameters include several parameter data items; According to the source ICC profile, obtain virtual display parameters and virtual ICC profiles corresponding to all virtual screens to be virtually simulated by the processed image; Using simulation software to build models of different virtual screens using virtual display parameters in a simulation environment, and associating virtual ICC profiles corresponding to the virtual screens; Simulate and display the processed image on different virtual screens constructed by simulation software in turn, and obtain simulation display parameters corresponding to the processed image displayed on different virtual screens; Perform display consistency analysis on the simulation display parameters corresponding to the processed images displayed on different virtual screens to obtain display consistency analysis data corresponding to different virtual screens; Wherein, different virtual screens are obtained and marked as i, i={1, 2, 3, ..., n}, and n is a positive integer; and, simulation display parameters corresponding to different virtual screens are obtained, and different parameter data items in the simulation display parameters corresponding to different virtual screens are marked as FXij; j is a different parameter data item in the simulation display parameters, j={1, 2, 3, ..., m}, and m is a positive integer; Perform data analysis on all parameter data items in the simulation display parameters corresponding to different virtual screen display processing images through a parameter consistent identification piecewise function, and output parameter identification identifiers corresponding to different parameter data items; Among them, the expression of the parameter consistent identification piecewise function is ; Wherein, CSij is the parameter identification mark corresponding to different parameter data items; Uij is the matching range of different parameter data items in the processing standard display parameters corresponding to the processed image; The parameter identification flag contains a value of 0 or 1, indicating that the parameter simulation display of the corresponding parameter data item is normal or abnormal; Sorting and combining the parameter identification marks obtained by corresponding processing of all parameter data items in the simulation display parameters corresponding to the virtual screen to obtain a parameter identification mark sequence corresponding to the virtual screen; According to the abnormal display label in the display consistency analysis data, the display of the corresponding processed image of the abnormal virtual screen is optimized and managed in a targeted manner; the targeted optimization management includes implementing an existing conventional calibration scheme or implementing a calibration optimization scheme.

2. A method for processing virtual simulation image display quality according to claim 1, characterized in that: Preprocess the image, including color space mapping and channel correction.

3. The method for processing virtual simulation image display quality according to claim 1, characterized in that: When performing data analysis on the parameter identification sequence to determine the display consistency state corresponding to the corresponding virtual screen, the parameter identification sequence is traversed and analyzed; If there is no element with a value of 1 in the parameter identification sequence, a normal display label is generated and the corresponding virtual screen is marked as a normal virtual screen; If there is an element with a value of 1 in the parameter identification sequence, an abnormal display label is generated and the corresponding virtual screen is marked as an abnormal virtual screen; Normal display labels or abnormal display labels corresponding to all virtual screens and their corresponding marks are sorted and combined to obtain display consistency analysis data corresponding to different virtual screens.

4. A method for processing virtual simulation image display quality according to claim 3, characterized in that: Traverse and analyze the display consistency analysis data to see if there are abnormal display tags, and sequentially obtain the parameter identification identifiers with a value of 1 in the parameter identification identifier sequence according to the different abnormal display tags, and mark the parameter data item to which the parameter identification identifier with a value of 1 belongs as an abnormal display data item; The total number of abnormalities corresponding to all abnormal display data items appearing on all abnormal virtual screens are associated and sorted and combined to obtain an abnormal display combination sequence.

5. A method for processing virtual simulation image display quality according to claim 4, characterized in that: All data in the abnormal display combination sequence are passed through the first virtual abnormal formula Calculate and obtain the first virtual abnormality degree XY1 corresponding to all abnormal virtual screens; where N2 is the total number of all abnormal display data items; N is the total number of all parameter data items in the simulation display parameters; A is the standard value of the abnormal impact rate; And, through the second virtual anomaly formula Calculate and obtain the second virtual abnormality degree XY2 corresponding to all abnormal virtual screens; where CQj´ is the display weight corresponding to different abnormal display data items; N1 is the total number of abnormalities corresponding to different abnormal display data items; and B is the virtual abnormality integration standard value.

6. A method for processing virtual simulation image display quality according to claim 5, characterized in that: When determining the virtual support status corresponding to the virtual ICC profiles of all abnormal virtual screens according to the first virtual abnormality degree and the second virtual abnormality degree, the first virtual abnormality degree and the second virtual abnormality degree are input into the virtual support identification segmentation function for data analysis and the corresponding virtual support identifier is output, and the virtual support identifiers corresponding to the first virtual abnormality degree and the second virtual abnormality degree are sorted and combined to obtain a virtual support sequence.

7. A method for processing virtual simulation image display quality according to claim 6, characterized in that: The expression for the virtual support identification piecewise function is ; In the formula, k=1, 2; XZk is XZ1, XZ2, which are virtual support identifiers corresponding to the first virtual abnormality and the second virtual abnormality respectively; XYk is XY1, XY2.

8. The method for processing virtual simulation image display quality according to claim 6, characterized in that: Perform traversal analysis on the virtual support sequence, and if there is no element with a value of 1 in the virtual support sequence, implement the existing conventional calibration scheme; If there is an element with a value of 1 in the virtual support sequence, the calibration optimization scheme is implemented.

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