Projection fusion method and system of large-screen display system

Abstract

The invention relates to the technical field of large-screen display systems, and discloses a projection fusion method and system for a large-screen display system, and the system comprises an image collection unit, a preprocessing unit, a data analysis unit, a data analysis unit, and a detection and restoration unit. By introducing the organic combination of the image acquisition unit, the preprocessing unit, the data analysis unit, the data analysis unit and the detection and restoration unit, the system can perform comprehensive data acquisition, preprocessing and analysis on an input image and projection, so that the adaptability of the system in various environments is enhanced; as the system can perform intelligent parameter adjustment while judging the projection quality in real time, unnecessary resource waste is avoided, the working efficiency of the system is improved, and the maintenance cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of large-screen display systems, and in particular to a projection fusion method and system for a large-screen display system. Background Art

[0002] A large-screen display system usually refers to a display system that uses a large screen as an output device. This type of system is widely used in conference rooms, control rooms, demonstration halls, cinemas and other occasions. It aims to provide high-resolution, high-brightness, and large-size display effects to meet the information display and audio-visual experience in large venues or special needs. Large-screen display systems are usually able to display images or video content from multiple sources at the same time, and have split-screen, splicing and other functions to meet the needs of different scenes. In a projection fusion system, the display of a large screen often requires projection fusion processing to ensure that the images synthesized by multiple projection units present a consistent and smooth effect on the entire large screen.

[0003] However, traditional large-screen display systems have many shortcomings when dealing with projection fusion problems. Usually, due to certain differences in parameters such as brightness, contrast, edge sharpness, etc. of multiple projected images, and the fact that most devices are relatively independent, it is difficult to make adaptive adjustments, which leads to poor projection fusion effects and reduced picture quality, affecting the user's viewing experience. Conventional systems also lack multi-level repair solutions, lack flexibility in dealing with different problems, and find it difficult to accurately adapt to various environmental changes. Summary of the invention

[0004] The present invention provides a projection fusion method and system for a large-screen display system, which solves the problem mentioned in the above background technology that due to certain differences in parameters such as brightness, contrast, edge sharpness, etc. of multiple projected images, and most devices are relatively independent, it is difficult to make adaptive adjustments, which leads to poor projection fusion effect and reduced picture quality.

[0005] The present invention provides the following technical solutions: a projection fusion system for a large-screen display system, comprising an image acquisition unit, a preprocessing unit, a data parsing unit, a data analysis unit, and a detection and repair unit;

[0006] The image acquisition unit is used to collect data of the input image and the projection, thereby generating a first data group, a second data group and a third data group, and inputting the generated first data group, second data group and third data group into the preprocessing unit;

[0007] The preprocessing unit is used to preprocess the first data group, the second data group and the third data group produced by the image acquisition unit, and input the preprocessed first data group, the second data group and the third data group into the data analysis unit.

[0008] The data parsing unit is used to integrate and calculate the first data group, the second data group and the third data group to generate a control reference value Tck, and input the calculated control reference value Tck into the data analysis unit;

[0009] The data analysis unit is used to compare and analyze the control reference value Tck calculated by the data parsing unit with a preset first threshold value Y, so as to generate a first comparison result, and judge whether the projection fusion is normal according to the first comparison result, if the comparison result is normal, then the parameters of the existing projection are not adjusted, if the comparison result is abnormal, then the adjustment reference value is integrated and calculated with the first threshold value Y, so as to generate a deviation difference value Pcz, and the deviation difference value Pcz obtained by calculation is compared and analyzed twice with a preset second threshold value R, so as to generate a second comparison result, and the second comparison result is input into the detection and repair unit for execution;

[0010] The detection and repair unit adapts the second comparison result to a preset repair scheme according to the second comparison result, executes the repair scheme matching the second comparison result, repairs the projection, and generates a repair log for storage.

[0011] As an optional solution of the projection fusion system of the large-screen display system of the present invention, wherein: the image acquisition unit includes an image input module, a projection coincidence detection module and a projection fusion detection module;

[0012] The image input module is used to obtain the original brightness Yqxd of the input image and the original contrast Ydbd of the image, the projection coincidence detection module is used to obtain the projection clarity Tqxd and the projection contrast value Tdbd, and the projection fusion detection module is used to obtain the projection edge shape value Tbyz and the projection color distribution value Tysz;

[0013] The original brightness Yqxd and the original contrast Ydbd of the image constitute a first data group, the projection clarity Tqxd and the projection contrast value Tdbd constitute a second data group, and the projection edge shape value Tbyz and the projection color distribution value Tysz constitute a third data group.

[0014] As an optional solution of the projection fusion system of the large-screen display system of the present invention, the image input module captures the brightness of the video image at any time stamp, and records the capture results as D, D, D, ..., Dn, respectively, integrates and calculates D to Dn, and takes the average value to generate the original brightness Yqxd;

[0015] The image input module also captures the brightness difference of the video image at any time stamp, and records the captured results as C, C, C, ..., Cn, and integrates and calculates C to Cn, and takes the average value to generate the original contrast Ydbd;

[0016] The projection overlap detection module captures the video definition at any timestamp of the projection video, and records the capture results as T, T, T, ..., Tn according to the timestamp, integrates and calculates T to Tn, and takes the average value to obtain the projection definition Tqxd;

[0017] The projection coincidence detection module also captures the video clarity at any timestamp of the projection video, and records the capture results as T, T, T, ..., Tn according to the timestamp, and then integrates and calculates the captured T to Tn and takes the average value to obtain the projection contrast value Tdbd;

[0018] The projection fusion degree detection module obtains the projection edge shape of the projection video through an edge detection method to generate a projection edge shape value Tbyz. The projection fusion degree detection module also obtains the projection color distribution ratio through a color histogram to generate a projection color distribution value Tysz.

[0019] As an optional solution of the projection fusion system of the large-screen display system of the present invention, the specific calculation formula of the control reference value Tck is:

[0020]

[0021] Wherein: Yqxd is the original brightness, Ybdb is the original contrast, Tqxd is the projection clarity, Tbdb is the projection contrast value, Ybyz is the projection edge shape value, Tysz is the projection color distribution value, a, a, a and a are all weight values, and a≠a≠a≠a≠a≠, the specific values ​​of a, a, a and a are adjusted and set by the user.

[0022] As an optional solution of the projection fusion system of the large-screen display system of the present invention, wherein: the data analysis unit includes a first comparison module and a second comparison module, wherein the first comparison module is used to generate a first comparison result, and the second comparison module is used to generate a second comparison result;

[0023] The first comparison result is specifically: when the control reference value Tck≤the first threshold value Y, it means that the current projection does not need to adjust the parameters; when the control reference value Tck>the first threshold value Y, it means that the current projection needs to adjust the parameters;

[0024] The second comparison result is specifically: when the deviation difference Pcz ≤ the second threshold R, it means that the current adjustment level is level one;

[0025] When the second threshold R<deviation difference Pcz≤second threshold R*.%, it means that the current adjustment level is level 2;

[0026] When the second threshold R*.%<deviation difference Pcz≤second threshold R*.%, it means that the current adjustment level is level three;

[0027] When the deviation difference Pcz>the second threshold R*%.%, it means that the current adjustment level is level four.

[0028] As an optional solution of the projection fusion system of the large-screen display system of the present invention, the calculation formula of the deviation difference Pcz is as follows:

[0029]

[0030] Wherein: Tck is the control reference value, Y is the first threshold.

[0031] As an optional solution of the projection fusion system of the large-screen display system described in the present invention, wherein: the detection and repair unit includes a storage module, a matching module, an execution module and a recording module, wherein the storage module is used to store the repair solution, the matching module is used to adapt the second comparison result generated by the second comparison module to the repair solution stored in the storage module, and send a specific repair solution to the execution module, the execution module is used to execute the specific repair solution generated by the matching module and generate a repair log, and the recording module is used for the repair log generated by the execution module.

[0032] As an optional solution of the projection fusion system of the large-screen display system of the present invention, the repair solution stored in the storage module is:

[0033] When the second comparison result is the first adjustment level, the brightness of the projected video is reduced or increased by 1% to 5% to ensure that the brightness change is moderate, and the contrast of the projected video is reduced or increased by 1.5% to 4.5% to ensure that excessive contrast enhancement is not caused when highlighting image details, and the edge sharpness is adjusted by reducing or increasing by 0.1% to 0.5% to ensure that the adjustment does not cause excessive sharpening or blurring;

[0034] When the second comparison result is the secondary adjustment level, the brightness of the projected video is reduced or increased by 5% to 10% to ensure that the brightness change is moderate, and the contrast of the projected video is reduced or increased by 4.5% to 6.5% to ensure that excessive contrast enhancement is not caused when highlighting image details, and the edge sharpness is adjusted by reducing or increasing by 0.1%-0.65% to ensure that the adjustment does not cause excessive sharpening or blurring;

[0035] When the second comparison result is the third-level adjustment level, reduce or increase the brightness of the projected video by 10% to 12% to adapt to the actual brightness conditions of the environment, and reduce or increase the contrast of the projected video by 6.5% to 9% to ensure that the image details can be effectively highlighted, and adjust the edge sharpness by reducing or increasing it by 0.65%-0.7% to ensure that the adjustment does not cause over-sharpening or blurring;

[0036] When the second comparison result is the fourth-level adjustment level, the brightness of the projected video is reduced or increased by 12% to 25% to ensure that the brightness change is moderate, and the contrast of the projected video is reduced or increased by 9% to 15% to ensure that excessive contrast enhancement is not caused when highlighting image details, and the edge sharpness is adjusted by reducing or increasing it by 0.7% - 1.5% to ensure that the adjustment does not cause excessive sharpening or blurring.

[0037] The present invention also provides a projection fusion system method for a large-screen display system, and the specific process is as follows;

[0038] S1, data acquisition, through the image acquisition unit, the input image and the projection data acquisition, generate the first data group, the second data group and the third data group, wherein the first data group includes the original brightness Yqxd and the original contrast Ydbd of the input image, the second data group includes the projection clarity Tqxd and the projection contrast value Tdbd, and the third data group includes the projection edge shape value Tbyz and the projection color distribution value Tysz;

[0039] S2, data preprocessing, preprocessing the first data group, the second data group and the third data group generated by the image acquisition unit through the preprocessing unit, and inputting the processed data into the data parsing unit;

[0040] S3, integrated calculation, in the data analysis unit, the pre-processed data is integrated and calculated to generate a control reference value Tck;

[0041] S4, comparative analysis: the data analysis unit compares and analyzes the calculated control reference value Tck with the preset first threshold value Y to generate a first comparison result, and determines whether the projection fusion is normal according to the first comparison result;

[0042] If it is normal, no parameter adjustment is performed; if it is abnormal, a deviation difference Pcz is generated, and the deviation difference Pcz is compared and analyzed with a preset second threshold R for a second time to generate a second comparison result, which is used to further determine whether the projection fusion system needs to be repaired;

[0043] S5. The detection and repair unit matches the second comparison result with a preset repair scheme according to the second comparison result. After matching, the repair scheme matching the second comparison result is executed to repair the projection. After the repair is completed, a repair log is generated and saved.

[0044] The present invention has the following beneficial effects:

[0045] 1. The projection fusion method and system of the large-screen display system, by introducing an organic combination of an image acquisition unit, a preprocessing unit, a data parsing unit, a data analysis unit and a detection and repair unit, the system can perform comprehensive data acquisition, preprocessing and analysis on input images and projections. This comprehensive performance optimization helps to improve the operating efficiency and projection quality of the entire system.

[0046] 2. The projection fusion method and system of the large-screen display system: the first comparison module ensures that the system can quickly respond to changes in projection quality; the second comparison module achieves more intelligent and automatic parameter adjustment through multi-level adjustment levels, reducing the need for manual intervention; through the multi-level adjustment levels of the second comparison results, the system can make more targeted parameter adjustments when dealing with deviation differences; this accuracy improves the system's handling effect on projection problems and enhances the system's adaptability in various environments; because the system can make intelligent parameter adjustments while judging the projection quality in real time, it avoids unnecessary waste of resources, improves the system's work efficiency, and reduces maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 It is a schematic diagram of the system flow of the present invention.

[0048] Figure 2 It is a schematic diagram of the steps of the method of the present invention.

[0049] In the figure: 1. Image acquisition unit; 2. Preprocessing unit; 3. Data parsing unit; 4. Data analysis unit; 5. Detection and repair unit; 101. Image input module; 102. Projection coincidence detection module; 103. Projection fusion detection module; 401. First comparison module; 402. Second comparison module; 501. Storage module; 502. Matching module; 503. Execution module; 504. Recording module; 6. First threshold value Y; 7. Second threshold value R. DETAILED DESCRIPTION

[0050] 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.

[0051] Example 1

[0052] See also Figure 1 , a projection fusion system of a large-screen display system, comprising an image acquisition unit 1, a preprocessing unit 2, a data parsing unit 3, a data analysis unit 4 and a detection and repair unit 5;

[0053] The image acquisition unit 1 is used to collect data of the input image and the projection, thereby generating a first data group, a second data group and a third data group, and inputting the generated first data group, second data group and third data group into the preprocessing unit 2;

[0054] The preprocessing unit 2 is used to preprocess the first data group, the second data group and the third data group produced by the image acquisition unit 1, and input the preprocessed first data group, the second data group and the third data group into the data analysis unit 3.

[0055] The data parsing unit 3 is used to integrate and calculate the first data group, the second data group and the third data group to generate a control reference value Tck, and input the calculated control reference value Tck into the data analysis unit 4;

[0056] The data analysis unit 4 is used to compare and analyze the control reference value Tck calculated by the data analysis unit 3 with the preset first threshold value Y6, so as to generate a first comparison result, and judge whether the projection fusion is normal according to the first comparison result. If the comparison result is normal, the parameters of the existing projection are not adjusted. If the comparison result is abnormal, the adjustment reference value and the first threshold value Y6 are integrated and calculated to generate a deviation difference value Pcz, and the deviation difference value Pcz obtained by calculation is compared and analyzed twice with the preset second threshold value R7 to generate a second comparison result, and the second comparison result is input into the detection and repair unit 5 for execution;

[0057] The detection and repair unit 5 adapts the second comparison result to a preset repair scheme, executes the repair scheme matching the second comparison result, repairs the projection, and generates a repair log for storage.

[0058] In this embodiment: the image acquisition unit 1 generates a first data group, a second data group and a third data group through data acquisition, providing multi-dimensional input information. More comprehensive data acquisition helps the system to fully understand the input image and projection, provide more information support for subsequent processing, and improve the overall system performance.

[0059] The preprocessing unit 2 improves the data quality by preprocessing the first data group, the second data group and the third data group. Through preprocessing, the data quality can be optimized, noise and redundant information can be reduced, clearer and more reliable data can be provided for subsequent data analysis, and the overall stability of the system can be improved.

[0060] The data analysis unit 3 generates the control reference value Tck through integrated calculation, so that the system has the ability of dynamic control, so that the system can adjust the projection parameters in real time 3.1 to adapt to different scenes and environmental conditions, thereby providing a better projection effect.

[0061] The data analysis unit 4 compares and analyzes with the preset threshold value to determine whether the projection fusion is normal. When an abnormal situation is detected, the detection and repair unit 5 automatically executes a repair plan that matches the second comparison result. This automatic detection and repair function reduces the need for manual intervention and improves the stability and reliability of the system. The detection and repair unit 5 can also adapt to the preset repair plan according to the second comparison result and execute corresponding repair measures. This personalized repair plan makes the system more flexible and can effectively deal with various projection abnormalities. The detection and repair unit 5 generates a repair log for storage, which records the abnormal situations and corresponding repair measures during the operation of the system. This helps system administrators track problems, analyze causes, and perform manual intervention when necessary, thereby improving the maintainability of the system.

[0062] By introducing the organic combination of the image acquisition unit 1, the preprocessing unit 2, the data parsing unit 3, the data analysis unit 4 and the detection and repair unit 5, the system can perform comprehensive data acquisition, preprocessing and analysis on the input image and projection. This comprehensive performance optimization helps to improve the operating efficiency and projection quality of the entire system.

[0063] Example 2

[0064] See also Figure 1 , the image acquisition unit 1 includes an image input module 101, a projection coincidence detection module 102 and a projection fusion detection module 103;

[0065] The image input module 101 is used to obtain the original brightness Yqxd of the input image and the original contrast Ydbd of the image, the projection coincidence detection module 102 is used to obtain the projection clarity Tqxd and the projection contrast value Tdbd, and the projection fusion detection module 103 is used to obtain the projection edge shape value Tbyz and the projection color distribution value Tysz;

[0066] The original brightness Yqxd and the original contrast Ydbd of the image constitute a first data group, the projection clarity Tqxd and the projection contrast value Tdbd constitute a second data group, and the projection edge shape value Tbyz and the projection color distribution value Tysz constitute a third data group.

[0067] The image input module 101 captures the brightness of the video image at any time stamp, and records the captured results as D1, D2, D3, ..., Dn, integrates and calculates D1 to Dn, and takes the average value to generate the original brightness Yqxd;

[0068] The image input module 101 also captures the brightness difference of the video image at any time stamp, and records the captured results as C1, C2, C3, ..., Cn, and integrates and calculates C1 to Cn, and takes the average value to generate the original contrast Ydbd;

[0069] The projection coincidence detection module 102 captures the video definition at any time stamp of the projection video, and records the capture results as T1, T2, T3, ..., Tn according to the time stamp, and integrates and calculates T1 to Tn, and intercepts the average value to obtain the projection definition Tqxd;

[0070] The projection coincidence detection module 102 also captures the video definition at any time stamp of the projection video, and records the capture results as T1, T2, T3, ..., Tn according to the time stamp, and then integrates and calculates the captured T1 to Tn and takes the average value to obtain the projection contrast value Tdbd;

[0071] The projection fusion degree detection module 103 obtains the projection edge shape of the projection video through the edge detection method to generate a projection edge shape value Tbyz. The projection fusion degree detection module 103 also obtains the projection color distribution ratio through the color histogram to generate a projection color distribution value Tysz.

[0072] The specific calculation formula of the control reference value Tck is:

[0073]

[0074] Wherein: Yqxd is the original brightness, Ybdb is the original contrast, Tqxd is the projection clarity, Tbdb is the projection contrast value, Ybyz is the projection edge shape value, Tysz is the projection color distribution value, a1, a2, a3 and a4 are all weight values, and a1≠a2≠a3≠a4≠0, and the specific values ​​of a1, a2, a3 and a4 are adjusted and set by the user.

[0075] In this embodiment: the image input module 101 uses integrated calculation and average value interception to capture the brightness and brightness difference of the video image at any timestamp. This capture method improves the accuracy of brightness and contrast. By intercepting the average value, it can effectively reduce the impact of noise on the data, and provide more stable and reliable input data for generating the original brightness Yqxd and the original contrast Ydbd.

[0076] The projection coincidence detection module 102 captures the clarity and contrast of the projection video by an integrated calculation and average value interception method. Through the integrated calculation and average value interception, the system more accurately obtains the clarity Tqxd and contrast Tdbd of the projection video, ensuring the reliability and stability of these two parameters, thereby improving the system's accurate assessment of the projection quality.

[0077] The projection fusion degree detection module 103 obtains the edge shape and color distribution of the projected video through edge detection method and color histogram. This improvement improves the detection accuracy of the projection fusion degree. The projection edge shape value Tbyz obtained by the edge detection method and the projection color distribution value Tysz obtained by color histogram analysis enable the system to have a more comprehensive understanding of the projection fusion degree, which helps the system to judge the projection quality more accurately.

[0078] By setting up the image input module 101, the projection coincidence detection module 102 and the projection fusion detection module 103, the image acquisition unit 1 is made more accurate and reliable in data capture and analysis, thereby improving the system performance and the accuracy of the projection quality. For the entire large-screen display system, this means higher picture quality, more accurate projection parameter evaluation, and a more reliable user experience.

[0079] Example 3

[0080] See also Figure 1 , the data analysis unit 4 includes a first comparison module 401 and a second comparison module 402, wherein the first comparison module 401 is used to generate a first comparison result, and the second comparison module 402 is used to generate a second comparison result;

[0081] The first comparison result is specifically: when the control reference value Tck≤the first threshold value Y6, it means that the current projection does not need to adjust the parameters; when the control reference value Tck>the first threshold value Y6, it means that the current projection needs to adjust the parameters;

[0082] The second comparison result is specifically: when the deviation difference Pcz ≤ the second threshold R7, it means that the current adjustment level is level one;

[0083] When the second threshold R7<deviation difference Pcz≤second threshold R7*103.5%, it means that the current adjustment level is level 2;

[0084] When the second threshold R7*103.5%<deviation difference Pcz≤second threshold R7*104.5%, it means that the current adjustment level is level 3;

[0085] When the deviation difference Pcz>the second threshold R7*104.5%, it means that the current adjustment level is level four.

[0086] The calculation formula of the deviation difference Pcz is as follows:

[0087]

[0088] Wherein: Tck is the control reference value, Y is the first threshold.

[0089] In this embodiment: the first comparison module 401 is used to generate a first comparison result to determine whether parameter adjustment is required. Through the first comparison result, the system can determine in real time whether the current projection needs parameter adjustment, so as to respond quickly when necessary. This real-time judgment improves the flexibility and response speed of the system, ensuring that the projection always maintains the best quality.

[0090] The second comparison module 402 is used to generate a second comparison result, and divides different adjustment levels according to the deviation difference. The second comparison result provides more detailed and accurate adjustment level information. Through multiple levels of adjustment levels, the system can more accurately control the change of parameters, thereby more effectively adapting to projection problems of different degrees, and improving the adjustment accuracy and adaptability of the system.

[0091] The first comparison module 401 ensures that the system can quickly respond to changes in projection quality. The second comparison module 402 achieves more intelligent and automated parameter adjustment through multi-level adjustment levels, reducing the need for manual intervention. Through the multi-level adjustment levels of the second comparison result, the system can make more targeted parameter adjustments when dealing with deviation differences. This accuracy improves the system's processing effect on projection problems and enhances the system's adaptability in various environments. Since the system can make intelligent parameter adjustments while judging the projection quality in real time, it avoids unnecessary waste of resources, improves the system's work efficiency, and reduces maintenance costs.

[0092] Example 4

[0093] See also Figure 1The detection and repair unit 5 includes a storage module 501, a matching module 502, an execution module 503 and a recording module 504, wherein the storage module 501 is used to store the repair solution, the matching module 502 is used to adapt the second comparison result generated by the second comparison module 402 to the repair solution stored in the storage module 501, and send the specific repair solution to the execution module 503, the execution module 503 is used to execute the specific repair solution generated by the matching module 502 and generate a repair log, and the recording module 504 is used to execute the repair log generated by the execution module 503.

[0094] In this embodiment: the storage module 501 provides a flexible repair strategy library, and the system can select appropriate personalized repair solutions according to different abnormal situations, thereby enhancing the flexibility of the repair effect. The automatic matching and execution mechanism is implemented through the matching module 502. By matching the second comparison result with the repair solution in the storage module, the execution module 503 enables the system to independently select and execute appropriate repair solutions, thereby reducing manual intervention. The system can automatically and quickly respond to abnormal situations, thereby improving the efficiency and accuracy of exception handling. The recording module 504 records the process of abnormal detection and repair in detail, providing valuable information to help administrators discover problems and perform system optimization in a timely manner, thereby improving the maintainability and troubleshooting efficiency of the system.

[0095] Example 5

[0096] See also Figure 1 , the repair solution stored in the storage module 501 is:

[0097] When the second comparison result is the first adjustment level, the brightness of the projected video is reduced or increased by 1% to 5% to ensure that the brightness change is moderate, and the contrast of the projected video is reduced or increased by 1.5% to 4.5% to ensure that excessive contrast enhancement is not caused when highlighting image details, and the edge sharpness is adjusted by reducing or increasing by 0.1% to 0.5% to ensure that the adjustment does not cause excessive sharpening or blurring;

[0098] When the second comparison result is the secondary adjustment level, the brightness of the projected video is reduced or increased by 5% to 10% to ensure that the brightness change is moderate, and the contrast of the projected video is reduced or increased by 4.5% to 6.5% to ensure that excessive contrast enhancement is not caused when highlighting image details, and the edge sharpness is adjusted by reducing or increasing by 0.1%-0.65% to ensure that the adjustment does not cause excessive sharpening or blurring;

[0099] When the second comparison result is the third-level adjustment level, reduce or increase the brightness of the projected video by 10% to 12% to adapt to the actual brightness conditions of the environment, and reduce or increase the contrast of the projected video by 6.5% to 9% to ensure that the image details can be effectively highlighted, and adjust the edge sharpness by reducing or increasing it by 0.65%-0.7% to ensure that the adjustment does not cause over-sharpening or blurring;

[0100] When the second comparison result is the fourth level adjustment level, the brightness of the projected video is reduced or increased by 12% to 25% to ensure that the brightness change is moderate, and the contrast of the projected video is reduced or increased by 9% to 15% to ensure that the image details are not over-enhanced. The edge sharpness is adjusted to reduce or increase by 0.7%-1.5% to ensure that the adjustment does not cause over-sharpening or blurring.

[0101] In this embodiment: the storage module 501 introduces a multi-level repair scheme, dynamically selects the appropriate brightness, contrast and edge sharpness adjustment range according to the adjustment level of the second comparison result, and provides a more sophisticated and personalized repair strategy. According to the degree of abnormality, the system can perform repairs more accurately and specifically, thereby improving the accuracy and specificity of the repair effect.

[0102] For different adjustment levels, the system determines the specific adjustment range of brightness, contrast and edge sharpness, making the adjustment more controllable and reasonable, and providing a more flexible parameter adjustment range. The system can adapt more effectively in different scenarios, avoiding over-adjustment or under-adjustment, thereby improving the user experience.

[0103] When the second comparison result is the third-level adjustment level, the system introduces a repair solution that adapts to the actual brightness conditions of the environment, improves the system's adaptability in complex environments, enables the system to adjust the brightness more intelligently, and dynamically adjusts according to the actual ambient lighting conditions, thereby enhancing the system's stability and adaptability in different environments.

[0104] The restoration scheme stored in the storage module 501 comprehensively considers the adjustment of brightness, contrast and edge sharpness, avoiding excessive adjustment of one of the parameters resulting in image abnormality or distortion, ensuring the overall balance of the restoration effect. Users will not feel obvious image changes during the viewing process, thereby improving the overall effect and user experience of projection fusion restoration.

[0105] The present invention also provides a projection fusion system method for a large screen display system. For details, please refer to Figure 2 , the specific process is as follows:

[0106] S1, data acquisition, through the image acquisition unit 1, the input image and the projection data acquisition, generate the first data group, the second data group and the third data group, wherein the first data group includes the original brightness Yqxd and the original contrast Ydbd of the input image, the second data group includes the projection clarity Tqxd and the projection contrast value Tdbd, and the third data group includes the projection edge shape value Tbyz and the projection color distribution value Tysz;

[0107] S2, data preprocessing, preprocessing the first data group, the second data group and the third data group generated by the image acquisition unit through the preprocessing unit 2, and inputting the processed data into the data analysis unit 3;

[0108] S3, integrated calculation, in the data analysis unit 3, the pre-processed data is integrated and calculated to generate a control reference value Tck;

[0109] S4, comparative analysis: the data analysis unit 4 compares and analyzes the calculated control reference value Tck with the preset first threshold value Y6 to generate a first comparison result, and determines whether the projection fusion is normal according to the first comparison result;

[0110] If it is normal, no parameter adjustment is performed. If it is abnormal, a deviation difference Pcz is generated, and the deviation difference Pcz is compared and analyzed with the preset second threshold R7 for a second time to generate a second comparison result. The second comparison result is used to further determine whether the projection fusion system needs to be repaired.

[0111] S5. The detection and repair unit 5 matches the second comparison result with a preset repair scheme according to the second comparison result. After matching, the repair scheme matching the second comparison result is executed to repair the projection. After the repair is completed, a repair log is generated and saved.

[0112] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0113] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A projection fusion system for a large-screen display system, comprising an image acquisition unit (1), a preprocessing unit (2), a data parsing unit (3), a data analysis unit (4) and a detection and repair unit (5), characterized in that: The image acquisition unit (1) is used to acquire data of the input image and the projection, thereby generating a first data group, a second data group and a third data group, and inputting the generated first data group, second data group and third data group into the preprocessing unit (2); The preprocessing unit (2) is used to preprocess the first data group, the second data group and the third data group generated by the image acquisition unit (1), and input the preprocessed first data group, the second data group and the third data group into the data analysis unit (3). The data parsing unit (3) is used to integrate and calculate the first data group, the second data group and the third data group, so as to generate a control reference value Tck, and input the calculated control reference value Tck into the data analysis unit (4); The data analysis unit (4) is used to compare and analyze the control reference value Tck calculated and obtained by the data analysis unit (3) with a preset first threshold value Y (6), thereby generating a first comparison result, and judging whether the projection fusion is normal based on the first comparison result. If the comparison result is normal, the parameters of the existing projection are not adjusted. If the comparison result is abnormal, the adjustment reference value and the first threshold value Y (6) are integrated and calculated to generate a deviation difference value Pcz, and the deviation difference value Pcz obtained by calculation is compared and analyzed again with a preset second threshold value R (7) to generate a second comparison result, and the second comparison result is input into the detection and repair unit (5) for execution; The detection and repair unit (5) adapts the second comparison result to a preset repair scheme, executes the repair scheme matching the second comparison result, repairs the projection, and generates a repair log for storage.

2. The projection fusion system of the large-screen display system according to claim 1, characterized in that: The image acquisition unit (1) comprises an image input module (101), a projection coincidence detection module (102) and a projection fusion detection module (103); The image input module (101) is used to obtain the original brightness Yqxd of the input image and the original contrast Ydbd of the image, the projection coincidence detection module (102) is used to obtain the projection clarity Tqxd and the projection contrast value Tdbd, and the projection fusion detection module (103) is used to obtain the projection edge shape value Tbyz and the projection color distribution value Tysz; The original brightness Yqxd and the original contrast Ydbd of the image constitute a first data group, the projection clarity Tqxd and the projection contrast value Tdbd constitute a second data group, and the projection edge shape value Tbyz and the projection color distribution value Tysz constitute a third data group.

3. The projection fusion system of the large-screen display system according to claim 2, characterized in that: The image input module (101) captures the brightness of the video image at any time stamp, and records the captured results as D1, D2, D3, ..., Dn, respectively, integrates and calculates D1 to Dn, and takes the average value, thereby generating the original brightness Yqxd; The image input module (101) also captures the brightness difference of the video image at any time stamp, and records the captured results as C1, C2, C3, ..., Cn respectively, and integrates and calculates C1 to Cn, and takes the average value, thereby generating the original contrast Ydbd; The projection coincidence detection module (102) captures the video definition at any time stamp of the projection video, and records the capture results as T1, T2, T3, ..., Tn respectively according to the time stamp, and integrates and calculates T1 to Tn, and takes the average value to obtain the projection definition Tqxd; The projection coincidence detection module (102) also captures the video definition at any time stamp of the projection video, and records the capture results as T1, T2, T3, ..., Tn according to the time stamp, and then integrates and calculates the captured values ​​T1 to Tn and takes the average value, so as to obtain the projection contrast value Tdbd; The projection fusion degree detection module (103) acquires the projection edge shape of the projection video through an edge detection method to generate a projection edge shape value Tbyz. The projection fusion degree detection module (103) also acquires the projection color distribution ratio through a color histogram to generate a projection color distribution value Tysz.

4. The projection fusion system of the large-screen display system according to claim 3, characterized in that: The specific calculation formula of the control reference value Tck is: Wherein: Yqxd is the original brightness, Ybdb is the original contrast, Tqxd is the projection clarity, Tbdb is the projection contrast value, Ybyz is the projection edge shape value, Tysz is the projection color distribution value, a1, a2, a3 and a4 are all weight values, and a1≠a2≠a3≠a4≠0, and the specific values ​​of a1, a2, a3 and a4 are adjusted and set by the user.

5. The projection fusion system of the large-screen display system according to claim 4, characterized in that: The data analysis unit (4) comprises a first comparison module (401) and a second comparison module (402), wherein the first comparison module (401) is used to generate a first comparison result, and the second comparison module (402) is used to generate a second comparison result; The first comparison result is specifically: when the control reference value Tck≤the first threshold value Y(6), it means that the current projection does not need to adjust the parameters; when the control reference value Tck>the first threshold value Y(6), it means that the current projection needs to adjust the parameters; The second comparison result is specifically: when the deviation difference Pcz ≤ the second threshold R(7), it means that the current adjustment level is level one; When the second threshold R(7)<deviation difference Pcz≤second threshold R(7)*103.5%, it means that the current adjustment level is level 2; When the second threshold R(7)*103.5%<deviation difference Pcz≤second threshold R(7)*104.5%, it means that the current adjustment level is level 3; When the deviation difference Pcz>the second threshold R(7)*104.5%, it means that the current adjustment level is level four.

6. The projection fusion system of the large-screen display system according to claim 5, characterized in that: The calculation formula of the deviation difference Pcz is as follows: Where: Tck is the control reference value, Y is the first threshold.

7. The projection fusion system of the large screen display system according to claim 6, characterized in that: The detection and repair unit (5) includes a storage module (501), a matching module (502), an execution module (503) and a recording module (504), wherein the storage module (501) is used to store the repair solution, the matching module (502) is used to adapt the second comparison result generated by the second comparison module (402) to the repair solution stored in the storage module (501), and send a specific repair solution to the execution module (503), the execution module (503) is used to execute the specific repair solution generated by the matching module (502) and generate a repair log, and the recording module (504) is used for the repair log generated by the execution module (503).

8. The projection fusion system of the large-screen display system according to claim 7, characterized in that: The repair scheme stored in the storage module (501) is: When the second comparison result is the first adjustment level, the brightness of the projected video is reduced or increased by 1% to 5% to ensure that the brightness change is moderate, and the contrast of the projected video is reduced or increased by 1.5% to 4.5% to ensure that excessive contrast enhancement is not caused when highlighting image details, and the edge sharpness is adjusted by reducing or increasing by 0.1% to 0.5% to ensure that the adjustment does not cause excessive sharpening or blurring; When the second comparison result is the secondary adjustment level, the brightness of the projected video is reduced or increased by 5% to 10% to ensure that the brightness change is moderate, and the contrast of the projected video is reduced or increased by 4.5% to 6.5% to ensure that excessive contrast enhancement is not caused when highlighting image details, and the edge sharpness is adjusted by reducing or increasing by 0.1%-0.65% to ensure that the adjustment does not cause excessive sharpening or blurring; When the second comparison result is the third-level adjustment level, reduce or increase the brightness of the projected video by 10% to 12% to adapt to the actual brightness conditions of the environment, and reduce or increase the contrast of the projected video by 6.5% to 9% to ensure that the image details can be effectively highlighted, and adjust the edge sharpness by reducing or increasing it by 0.65%-0.7% to ensure that the adjustment does not cause over-sharpening or blurring; When the second comparison result is the fourth-level adjustment level, the brightness of the projected video is reduced or increased by 12% to 25% to ensure that the brightness change is moderate, and the contrast of the projected video is reduced or increased by 9% to 15% to ensure that excessive contrast enhancement is not caused when highlighting image details, and the edge sharpness is adjusted by reducing or increasing it by 0.7% - 1.5% to ensure that the adjustment does not cause excessive sharpening or blurring.

9. A projection fusion system method for a large screen display system, characterized in that: A projection fusion system comprising the large-screen display system according to any one of claims 1 to 8, wherein the specific process is as follows; S1, data acquisition, performing data acquisition on the input image and the projection through the image acquisition unit (1), generating a first data group, a second data group and a third data group, wherein the first data group includes the original brightness Yqxd and the original contrast Ydbd of the input image, the second data group includes the projection clarity Tqxd and the projection contrast value Tdbd, and the third data group includes the projection edge shape value Tbyz and the projection color distribution value Tysz; S2, data preprocessing, preprocessing the first data group, the second data group and the third data group generated by the image acquisition unit through the preprocessing unit (2), and inputting the processed data into the data analysis unit (3); S3, integrated calculation, in the data analysis unit (3), the pre-processed data is integrated and calculated to generate a control reference value Tck; S4, comparative analysis, the data analysis unit (4) performs comparative analysis on the calculated control reference value Tck and a preset first threshold value Y (6), generates a first comparative result, and determines whether the projection fusion is normal according to the first comparative result; If it is normal, no parameter adjustment is performed. If it is abnormal, a deviation difference Pcz is generated, and the deviation difference Pcz is compared and analyzed with a preset second threshold R (7) to generate a second comparison result. The second comparison result is used to further determine whether the projection fusion system needs to be repaired; S5. The detection and repair unit (5) matches the second comparison result with a preset repair scheme, and after matching, executes the repair scheme that matches the second comparison result to repair the projection. After the repair is completed, a repair log is generated and saved.

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