Image compensation method and system for display

Abstract

The invention relates to the technical field of display, in particular to an image compensation method and system for display. The method comprises the steps of obtaining a pre-transmission image signal, and performing signal preprocessing on the pre-transmission image signal according to a preset display form corresponding to target display equipment to determine a to-be-compensated image signal; performing data analysis on the to-be-compensated image signal, and determining an image signal composition form; determining an image defect source and an image defect area of the to-be-displayed image according to the image signal composition form; and according to the image defect source, the preset display form, the equipment attribute of the target display equipment and the image defect area, performing compensation processing division on the image defect area, determining an image compensation mode of the to-be-processed area obtained by division, and determining a target display image. According to the method, the image defect source and the image defect area are determined by analyzing the image signal composition form, then compensation processing division is carried out, image compensation is correspondingly carried out, and the final image display effect is improved.

Description

Technical Field

[0001] The present application relates to the field of display technology, and in particular to a display image compensation method and system. Background Art

[0002] With the advancement of science and technology and the development of social economy, the requirements for image display are gradually increasing. During the transmission process, the image is likely to be damaged or lose some information, resulting in problems such as the clarity of the image finally displayed on the display device, affecting the user's viewing experience. Therefore, compensation is performed on the image to improve the final display effect of the image.

[0003] In the related art, different algorithms may be selected for corresponding repair according to the characteristics of the defective area of ​​the image. However, the selection of the algorithm may be affected by human subjectivity, and the selected algorithm has certain limitations, such as only being able to process specific types of defects or specific types of images, resulting in poor image display effects after the image compensation is completed. Summary of the invention

[0004] The present application provides a display image compensation method and system to solve the above problems.

[0005] In a first aspect, the present application provides a display image compensation method, comprising: Acquire a pre-transmitted image signal, and perform signal preprocessing on the pre-transmitted image signal according to a preset display format corresponding to the target display device to determine an image signal to be compensated; Perform data analysis on the image signal to be compensated to determine the composition form of the image signal; Determine the image defect source and image defect area of ​​the image to be displayed according to the image signal composition form; According to the image defect source, the preset display form, the device properties of the target display device and the image defect area, the image defect area is divided for compensation processing, and the image compensation method of the divided area to be processed is determined to determine the target display image.

[0006] Through the above technical solution, the pre-transmitted image signal is first obtained, and the signal is pre-processed according to the preset display form of the target display device, so as to determine the image signal to be compensated, ensure the compatibility of the image signal with the target display device, and lay a solid foundation for subsequent processing. Through in-depth data analysis of the image signal to be compensated, the composition form of the image signal is clarified, and the characteristics and structure of the image signal are understood more accurately, which provides strong support for the subsequent determination of image defects. Further, according to the composition form of the image signal, the image defect source and image defect area of ​​the image to be displayed are accurately identified, which is crucial for subsequent targeted compensation processing. Taking into account multiple factors such as the source of image defects, preset display form, device properties of the target display device and image defect area, the image defect area is divided for compensation processing, and the image compensation method of the divided area to be processed is determined, which not only effectively eliminates image defects, but also optimizes according to the characteristics of the target display device, thereby obtaining a high-quality target display image.

[0007] Optionally, obtaining a pre-transmitted image signal and performing signal preprocessing on the pre-transmitted image signal according to a preset display format corresponding to a target display device to determine an image signal to be compensated includes: Acquiring a pre-transmission image signal; According to the preset display format, determining whether the pre-transmitted image signal meets the display requirements of the target display device; If the conditions are met, the pre-transmitted image signal is pre-processed according to the preset display form, signal transmission mode and display requirements to determine the image signal to be compensated; In case of non-compliance, signal retransmission information is sent to the image signal transmission device.

[0008] Through the above technical solution, by obtaining the pre-transmitted image signal and judging according to the preset display form of the target display device, it is possible to ensure that the image signal matches the display requirements of the target display device, avoiding image display problems caused by signal incompatibility, such as resolution mismatch, color distortion, etc., thereby improving the user experience. When the pre-transmitted image signal meets the display requirements of the target display device, the image signal can be pre-processed according to the preset display form, signal transmission method and display requirements. This step not only ensures that the format of the signal is correct, but also optimizes the signal quality through processing means such as color correction and brightness adjustment, so that the image can present a better visual effect on the target display device. When the pre-transmitted image signal does not meet the display requirements of the target display device, the signal retransmission information can be sent to the image signal transmission device in a timely manner. This avoids the transmission and reception of invalid signals, improves the transmission efficiency of the image signal, and also reduces the waste of resources caused by signal mismatch.

[0009] Optionally, judging whether the pre-transmitted image signal meets the display requirement of the target display device according to the preset display form includes: Determine the corresponding signal transmission mode and display requirements according to the pre-transmitted image signal; Determine whether the pre-transmitted image signal matches the display requirement according to the preset display form, signal transmission mode and display requirement; In the case of a match, determining that the pre-transmitted image signal meets the display requirements of the target display device; In the case of mismatch, it is determined that the pre-transmitted image signal does not meet the display requirement of the target display device.

[0010] Through the above technical solution, by analyzing the transmission mode and display requirements of the pre-transmitted image signal in detail and comparing it with the preset display form of the target display device, it is possible to accurately determine whether the image signal meets the display requirements of the target display device, thereby ensuring the compatibility of the image signal with the target device and avoiding display problems caused by mismatch. When the pre-transmitted image signal fully matches the display requirements of the target display device, it is confirmed that the signal meets the display requirements. This strict matching standard helps ensure that the image is displayed with the best quality on the target device, including optimization in terms of resolution, refresh rate, color, etc.

[0011] Optionally, data analysis is performed on the image signal to be compensated to determine the composition form of the image signal, including: Determine the key image signal, the indicative signal and the abnormal signal in the image signal to be compensated according to the preset image composition information; The image signal composition form is determined according to the key image signal, the indicative signal, the abnormal signal and the signal association relationship corresponding to each of the key image signal, the indicative signal and the abnormal signal.

[0012] Through the above technical solution, by performing data analysis on the image signal to be compensated, the key image signals, indicative signals and abnormal signals in the image can be accurately identified, which is helpful for subsequent targeted processing and compensation of the image signals, thereby improving the overall quality of the image. Not only are various types of signals identified, but the correlation between these signals is further analyzed. By clarifying the interactions and influences between the signals, problems in the image signal can be more accurately predicted and corrected. Based on accurate signal recognition and correlation analysis, the composition form of the image signal can be determined and optimized accordingly. This optimization may include enhancing the strength of key image signals, improving the accuracy of indicative signals, reducing the interference of abnormal signals, etc. The present application can also accurately identify and process key components in image signals, thereby greatly reducing redundancy and invalid operations in the image processing process. This not only improves the efficiency of image processing, but also reduces processing costs.

[0013] Optionally, determining the image defect source and image defect area of ​​the image to be displayed according to the image signal composition form includes: Determine the image defect area according to the image signal composition form; An image analysis is performed on the image to be displayed in the image defect area to determine the source of the image defect in the image defect area.

[0014] Through the above technical solution, by deeply analyzing the composition form of the image signal, the defective area in the image to be displayed can be accurately located, avoiding the misjudgment and missed judgment that may exist in the traditional method, and improving the accuracy and reliability of image quality assessment. For the determined image defect area, through further image analysis, the source of the defect can be accurately identified, which is helpful to take targeted measures to eliminate or reduce the defect and improve the overall quality of the image. Since the present application can directly determine the defective area and source based on the composition form of the image signal, it avoids unnecessary global image analysis and improves the efficiency of image processing.

[0015] Optionally, according to the image defect source, the preset display form, the device attribute of the target display device and the image defect area, the image defect area is divided for compensation processing, and an image compensation method of the divided area to be processed is determined to determine the target display image, including: Determine the image compensation type based on the source of image defects; Determine the optional compensation method of the target display device according to the device attributes and the preset display form; Compensation processing is divided according to the image defect area and the image compensation type to determine the area to be processed; According to the optional compensation method, image compensation is performed on the area to be processed to determine the target display image.

[0016] Through the above technical solution, personalized compensation processing can be divided according to the source of image defects. Different defect sources may require different types of compensation methods, and the most suitable compensation type can be accurately identified and matched, thereby improving the pertinence and effectiveness of the compensation processing. This application also fully considers the device properties and preset display form of the target display device, and can determine the optional compensation method compatible with the device, ensuring that the compensated image can be displayed on the target device with the best effect, avoiding image quality problems caused by device incompatibility. By deeply analyzing the image defect area and the image compensation type, the area to be processed can be accurately divided, avoiding unnecessary global processing, improving processing efficiency and accuracy, and reducing processing costs. Image compensation for the area to be processed according to the optional compensation method can significantly improve image quality. By selecting appropriate compensation algorithms and parameters, image defects can be minimized and key indicators such as image clarity, color reproduction and contrast can be improved.

[0017] Optionally, the above method further includes: Obtaining display requirements of the image signal to be compensated; According to the display requirements, a default compensation mode is set to determine a target display image based on the image compensation mode and the default compensation mode.

[0018] Through the above technical solution, the default compensation method is set according to the display requirements, making the compensation strategy more targeted and effective, which not only reduces unnecessary global processing and improves processing efficiency, but also better adapts to image display requirements under different devices and environmental conditions, ensuring the stability and consistency of image quality.

[0019] Optionally, the above method further includes: Obtain user general settings and image display targets of a target display device; According to the image display target and the user's general setting, a first additional compensation mode is determined to determine the target display image based on the first additional compensation mode and the image compensation mode.

[0020] Through the above technical solution, by obtaining the user's general settings and image display targets of the target display device, it is possible to gain an in-depth understanding of the user's preferences and usage habits. Based on this information, the first additional compensation method is determined, which can make the processed image closer to the user's personalized needs and enhance the user's viewing experience. By combining the user's general settings and the image display targets, this application can make more detailed adjustments and optimizations to the image according to the user's specific needs. Whether watching different types of image content or in different environments and lighting conditions, the adaptability and accuracy of the image display can be ensured to meet the diverse needs of users.

[0021] Optionally, the above method further includes: Obtain the current environment data of the target display device; A second additional compensation method is determined according to the environmental data, so as to determine a target display image based on the second additional compensation method and the image compensation method.

[0022] Through the above technical solution, by obtaining the environmental data of the target display device at the current moment, the environmental state of the display device can be perceived in real time. The second additional compensation method determined based on these environmental data can dynamically adjust the display parameters of the image to adapt to changes in ambient light, interference from surrounding colors, etc., to ensure that the image can maintain the best display effect in any environment. The use of environmental data makes image compensation more accurate and comprehensive. The second additional compensation method can optimize the image in a targeted manner according to the characteristics of the current environment, such as adjusting brightness, contrast, color saturation, etc., to reduce the impact of the environment on image display and improve image clarity and color accuracy.

[0023] In a second aspect, the present application provides a display image compensation system, comprising: A preprocessing module, used for acquiring a pre-transmitted image signal, and performing signal preprocessing on the pre-transmitted image signal according to a preset display format corresponding to a target display device, so as to determine an image signal to be compensated; A composition form determination module, used for performing data analysis on the image signal to be compensated and determining the composition form of the image signal; A defect analysis module, used to determine the image defect source and image defect area of ​​the image to be displayed according to the image signal composition form; The target display image determination module is used to divide the image defect area for compensation processing according to the image defect source, preset display format, device properties of the target display device and the image defect area, and determine the image compensation method of the divided area to be processed to determine the target display image.

[0024] Optionally, the preprocessing module is specifically used for: Acquiring a pre-transmission image signal; According to the preset display format, determining whether the pre-transmitted image signal meets the display requirements of the target display device; If the conditions are met, the pre-transmitted image signal is pre-processed according to the preset display form, signal transmission mode and display requirements to determine the image signal to be compensated; In case of non-compliance, signal retransmission information is sent to the image signal transmission device.

[0025] Optionally, the preprocessing module is specifically used to: Determine the corresponding signal transmission mode and display requirements according to the pre-transmitted image signal; Determine whether the pre-transmitted image signal matches the display requirement according to the preset display form, signal transmission mode and display requirement; In the case of a match, determining that the pre-transmitted image signal meets the display requirements of the target display device; In the case of mismatch, it is determined that the pre-transmitted image signal does not meet the display requirement of the target display device.

[0026] Optionally, the composition form determination module is specifically used for: Determine the key image signal, the indicative signal and the abnormal signal in the image signal to be compensated according to the preset image composition information; The image signal composition form is determined according to the key image signal, the indicative signal, the abnormal signal and the signal association relationship corresponding to each of the key image signal, the indicative signal and the abnormal signal.

[0027] Optionally, the defect analysis module is specifically used to: Determine the image defect area according to the image signal composition form; An image analysis is performed on the image to be displayed in the image defect area to determine the source of the image defect in the image defect area.

[0028] Optionally, the target display image determination module is specifically used for: Determine the image compensation type based on the source of image defects; Determine the optional compensation method of the target display device according to the device attributes and the preset display form; Compensation processing is divided according to the image defect area and the image compensation type to determine the area to be processed; According to the optional compensation method, image compensation is performed on the area to be processed to determine the target display image.

[0029] Optionally, the display image compensation system further includes a default compensation mode determination module, which is used to: Obtaining display requirements of the image signal to be compensated; According to the display requirements, a default compensation mode is set to determine a target display image based on the image compensation mode and the default compensation mode.

[0030] Optionally, the display image compensation system further includes a first additional compensation mode determination module, which is used to: Obtain user general settings and image display targets of a target display device; According to the image display target and the user's general setting, a first additional compensation mode is determined to determine the target display image based on the first additional compensation mode and the image compensation mode.

[0031] Optionally, the display image compensation system further includes a second additional compensation mode determination module, which is used to: Obtain the current environment data of the target display device; A second additional compensation method is determined according to the environmental data, so as to determine a target display image based on the second additional compensation method and the image compensation method. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0033] Figure 1 A schematic diagram of an application scenario provided for an embodiment of the present application; Figure 2 A flowchart of a display image compensation method provided by an embodiment of the present application; Figure 3 A schematic diagram of the structure of an image compensation system for display provided in one embodiment of the present application. DETAILED DESCRIPTION

[0034] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0035] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0036] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0037] Currently, many image compensation algorithms can only process specific types of image defects or can only process certain specific types of images, resulting in poor image display effects after image compensation.

[0038] Based on this, the present application provides a method and system for image compensation for display, which first obtains a pre-transmitted image signal, and performs signal preprocessing on the pre-transmitted image signal according to a preset display format corresponding to a target display device to determine an image signal to be compensated; performs data analysis on the image signal to be compensated to determine the image signal composition format; determines the image defect source and image defect area of ​​the image to be displayed according to the image signal composition format; divides the image defect area for compensation processing according to the image defect source, the preset display format, the device properties of the target display device and the image defect area, and determines the image compensation method of the divided area to be processed to determine the target display image to improve the image display effect.

[0039] Figure 1 A schematic diagram of an application scenario provided for the present application, when performing image compensation on a transmitted image, the method provided by the present application is applied to determine the image defect source and image defect area of ​​the image to be displayed by analyzing the image signal composition form of the pre-transmitted image signal, thereby obtaining the target display image.

[0040] Specifically, the method provided in the present application is applied to any server, and the server interacts with the image signal transmission device and the target display device. Figure 1 In the scenario shown, the image signal transmission device can send the pre-transmitted image signal to the compensation server, and after the compensation server performs analysis and image compensation, it sends the generated target display image to the target display device for display.

[0041] For specific implementation methods, please refer to the following embodiments.

[0042] Figure 2 This is a flow chart of a display image compensation method provided by an embodiment of the present application. The method of this embodiment can be applied to the compensation server in the above scenario. Figure 2 As shown, the method includes: S201: Acquire a pre-transmitted image signal, and perform signal preprocessing on the pre-transmitted image signal according to a preset display format corresponding to a target display device to determine an image signal to be compensated.

[0043] The pre-transmitted image signal may be an image signal pre-sent by an image signal transmission device to a server. The target display device is a device that will eventually display images to a user, and the preset display format may be set in advance, such as displaying in the highest definition format, or displaying in a format that uses the least resources when displaying, or mainly displaying the text portion of the pre-transmitted image signal, etc.

[0044] It can be a pre-processing method for the pre-transmitted image signal under different preset display forms. The pre-processing method can include noise reduction, decryption and other operations to avoid the encrypted part of the pre-transmitted image signal or some security logos from affecting the subsequent display.

[0045] Specifically, a pre-transmitted image signal may be acquired first, and a pre-processing method may be selected based on a preset display mode of a target display device to perform signal pre-processing on the pre-transmitted image signal to obtain an image signal to be compensated.

[0046] S202: Perform data analysis on the image signal to be compensated to determine the composition form of the image signal.

[0047] Specifically, the image signal to be compensated may be converted into a digital format suitable for analysis, such as grayscale image, RGB, etc. The changes of the image signal to be compensated in the time domain, frequency domain and space may be analyzed, such as the changes of brightness, contrast, etc. over time, and then the time domain features may be extracted using statistical methods such as mean. The image signal composition form may be pre-set to determine the model, and the extracted features may be used as the model output to directly output the image signal composition form.

[0048] S203: Determine the image defect source and image defect area of ​​the image to be displayed according to the image signal composition form.

[0049] The image defect source may be used to indicate the cause of the image display problem, such as a problem in the signal transmission process, or a problem in the signal-to-image conversion process, etc. The image defect area may be used to indicate an area where the display problem exists.

[0050] S204, dividing the image defect area for compensation processing according to the image defect source, the preset display format, the device properties of the target display device and the image defect area, and determining the image compensation method of the divided area to be processed to determine the target display image.

[0051] The device attribute of the target display device may be the display capability of the device itself, such as the highest resolution that does not affect the life of the device, etc. The small area obtained after compensating and dividing the image defect area may be used as the area to be processed.

[0052] Specifically, based on the type, size, position of the image defect area and the relationship between various image defect areas, the image to be displayed can be preliminarily divided into multiple preliminary areas to be processed, wherein each preliminary area to be processed may contain one or more defect areas, or partial positions of multiple defect areas.

[0053] Then, the preset display format, device attributes, and image defect sources can be combined for further segmentation. Based on the preset display format, it can be ensured that the final segmented area can meet the display format. Then combined with the target device attributes, including display type (such as LED, OLED), resolution, color depth, brightness range, contrast, etc.

[0054] According to the type of defect area, the severity of the defect and the properties of the target device, the corresponding image compensation method can be selected from a variety of pre-set image compensation methods, including denoising, Ruihua, color correction, contrast enhancement and brightness adjustment, etc. The image compensation method, image defect area and area to be processed determined here are input into the preset final image compensation method determination model, and the final required image compensation method is output. Image compensation is performed according to the final required image compensation method to generate the target display image.

[0055] Through the method provided in this embodiment, the pre-transmitted image signal is first obtained, and the signal is pre-processed according to the preset display form of the target display device, so as to determine the image signal to be compensated, ensure the compatibility of the image signal with the target display device, and lay a solid foundation for subsequent processing. By conducting in-depth data analysis on the image signal to be compensated, the composition form of the image signal is clarified, and the characteristics and structure of the image signal are understood more accurately, which provides strong support for the subsequent determination of image defects. Further, according to the composition form of the image signal, the image defect source and image defect area of ​​the image to be displayed are accurately identified, which is crucial for subsequent targeted compensation processing. Taking into account multiple factors such as the source of image defects, the preset display form, the device properties of the target display device, and the image defect area, the image defect area is divided for compensation processing, and the image compensation method of the divided area to be processed is determined, which not only effectively eliminates image defects, but also optimizes according to the characteristics of the target display device, thereby obtaining a high-quality target display image.

[0056] In some embodiments, a pre-transmitted image signal can be obtained; based on a preset display format, it is determined whether the pre-transmitted image signal meets the display requirements of the target display device; if it meets the requirements, the pre-transmitted image signal is pre-processed according to the preset display format, signal transmission method and display requirements to determine the image signal to be compensated; if it does not meet the requirements, signal retransmission information is sent to the image signal transmission device.

[0057] Specifically, the pre-transmitted image signal from the image signal transmission device can be received through an image signal transmission interface (such as a wired interface such as HDMI, DP, or a wireless interface such as Wi-Fi, Bluetooth). The received pre-transmitted image signal is decoded and converted from the encoding format (such as H.264, H.265 and other video encoding formats) to the original image data format for subsequent processing. According to the preset display format of the target display device (such as resolution, refresh rate, color space, etc.), check whether the parameters of the pre-transmitted image signal match it. Evaluate the quality of the pre-transmitted image signal, including noise level, signal integrity, etc., to ensure that it meets the display requirements of the target display device.

[0058] According to the preset display form, signal transmission mode and display requirements of the target display device, the necessary format conversion is performed on the pre-transmitted image signal. For example, if the target device supports HDR (high dynamic range) display, and the pre-transmitted image signal is SDR (standard dynamic range), HDR conversion is required. According to the color space of the target display device (such as sRGB, Adobe RGB, DCI-P3, etc.), the pre-transmitted image signal is color corrected to ensure accurate color display.

[0059] If the resolution of the pre-transmitted image signal does not match the resolution of the target display device, resolution adjustment such as scaling or cropping is required. According to other characteristics of the target display device (such as brightness, contrast, gamma correction, etc.), the pre-transmitted image signal is pre-processed accordingly.

[0060] If the pre-transmitted image signal does not meet the display requirements of the target display device, a signal retransmission information is sent to the image signal transmission device through the image signal transmission interface. The information may include non-compliant parameters, a recommended parameter range, or a request for retransmission. After sending the retransmission information, wait for the image signal transmission device to retransmit the pre-transmitted image signal that meets the requirements.

[0061] Through the method provided by this embodiment, by obtaining the pre-transmitted image signal and judging according to the preset display form of the target display device, it is possible to ensure that the image signal matches the display requirements of the target display device, avoiding image display problems caused by signal incompatibility, such as resolution mismatch, color distortion, etc., thereby improving the user experience. When the pre-transmitted image signal meets the display requirements of the target display device, the image signal can be pre-processed according to the preset display form, signal transmission method and display requirements. This step not only ensures that the format of the signal is correct, but also optimizes the signal quality through processing means such as color correction and brightness adjustment, so that the image can present a better visual effect on the target display device. When the pre-transmitted image signal does not meet the display requirements of the target display device, the signal retransmission information can be sent to the image signal transmission device in a timely manner. This avoids the transmission and reception of invalid signals, improves the transmission efficiency of the image signal, and also reduces the waste of resources caused by signal mismatch.

[0062] In some embodiments, the corresponding signal transmission mode and display requirements can be determined based on the pre-transmitted image signal; based on the preset display format, signal transmission mode and display requirements, it is determined whether the pre-transmitted image signal matches the display requirements; in the case of a match, it is determined that the pre-transmitted image signal meets the display requirements of the target display device; in the case of a mismatch, it is determined that the pre-transmitted image signal does not meet the display requirements of the target display device.

[0063] Specifically, metadata can be extracted from the received pre-transmitted image signal. These metadata usually contain the transmission method and format information of the signal. The transmission method may include wired or wireless, and the display requirements may cover key parameters such as resolution, refresh rate, color depth, color space, etc. According to the extracted metadata, the transmission method used by the current pre-transmitted image signal is identified, and the physical interface or wireless protocol can be detected and identified. The metadata is further analyzed to determine the format parameters of the pre-transmitted image signal, such as whether the resolution is 4K, the refresh rate is 60Hz, and the color space is sRGB or the more advanced DCI-P3.

[0064] From the configuration information or driver of the target display device, obtain its preset display format parameters, including supported resolution, refresh rate, color space, etc. Compare the format parameters of the pre-transmitted image signal with the preset display format parameters of the target display device one by one. Pay special attention to those key parameters that have a direct impact on the display effect, such as resolution and refresh rate, as well as color space and color depth that may affect color accuracy. Based on the comparison results, determine whether the format of the pre-transmitted image signal completely matches the preset display format of the target display device. If all key parameters meet the requirements, it is considered a match, and it is determined that the pre-transmitted image signal meets the display requirements of the target display device; otherwise, it is considered a mismatch, and it is determined that the pre-transmitted image signal does not meet the display requirements of the target display device.

[0065] Through the method provided by this embodiment, by analyzing the transmission mode and display requirements of the pre-transmitted image signal in detail and comparing it with the preset display form of the target display device, it is possible to accurately determine whether the image signal meets the display requirements of the target display device, thereby ensuring the compatibility of the image signal with the target device and avoiding display problems caused by mismatch. When the pre-transmitted image signal completely matches the display requirements of the target display device, it is confirmed that the signal meets the display requirements. This strict matching standard helps to ensure that the image is displayed with the best quality on the target device, including optimization in terms of resolution, refresh rate, color, etc.

[0066] In some embodiments, the key image signal, indicative signal and abnormal signal in the image signal to be compensated can be determined based on preset image composition information; the image signal composition form can be determined based on the key image signal, indicative signal, abnormal signal and the signal correlation relationship corresponding to the key image signal, indicative signal and abnormal signal.

[0067] The preset image composition information can be pre-set according to historical display data, and the components of different images are classified to determine what form of signal is a key image signal, what form of signal is an indicative signal, and an abnormal signal. The key image signal can be used to indicate the signal corresponding to the information to be displayed in the image to be displayed, the indicative signal can be used to indicate text identification, other non-essential signals other than the key image signal, such as edges, corners, and texture feature points, etc., and the abnormal signal can be used to indicate the encryption of the signal, the corresponding identification of the target display device that needs to receive the signal, and noise, distortion and other problems.

[0068] Specifically, the key image signal, the indicative signal, and the abnormal signal can be extracted from the image signal to be compensated based on the preset image composition information. Then, based on the image composition information, the signal association relationship between the current key image signal, the indicative signal, and the abnormal signal can be set, which may include a spatial position relationship, a time series relationship, and an intensity relationship. In some implementations, a relationship determination model can be pre-set, and the key image signal, the indicative signal, the abnormal signal, and the image signal to be compensated are input into the model to directly output the signal association relationship.

[0069] Then the key image signals, indicative signals, abnormal signals and signal correlation relationships as a whole can be taken as the image signal composition form.

[0070] Through the method provided by this embodiment, by performing data analysis on the image signal to be compensated, the key image signals, indicative signals and abnormal signals in the image can be accurately identified, which is helpful for subsequent targeted processing and compensation of the image signal, thereby improving the overall quality of the image. Not only are various types of signals identified, but the correlation between these signals is further analyzed. By clarifying the interaction and influence between the signals, problems in the image signal can be more accurately predicted and corrected. Based on accurate signal recognition and correlation relationship analysis, the composition form of the image signal can be determined and optimized accordingly. This optimization may include enhancing the strength of key image signals, improving the accuracy of indicative signals, reducing the interference of abnormal signals, etc. The present application can also accurately identify and process key components in image signals, thereby greatly reducing redundancy and invalid operations in the image processing process. This not only improves the efficiency of image processing, but also reduces processing costs.

[0071] In some embodiments, the image defect area can be determined according to the composition form of the image signal; and image analysis is performed on the image to be displayed in the image defect area to determine the source of the image defect in the image defect area.

[0072] Specifically, firstly, according to the composition form of the image signal, the image to be displayed is analyzed according to the preset analysis method to obtain the abnormal signal area. The detected abnormal signal area is matched with the actual pixel position in the image to determine the image defect area. Using the preset image processing algorithm, the feature information in the image defect area is extracted, such as color deviation, texture change, edge blur, etc. Then the feature information can be compared with the features in the preset defect database to determine the corresponding image defect source.

[0073] Through the method provided by this embodiment, by deeply analyzing the composition form of the image signal, the defective area in the image to be displayed can be accurately located, avoiding the misjudgment and missed judgment that may exist in traditional methods, and improving the accuracy and reliability of image quality assessment. For the determined image defect area, through further image analysis, the source of the defect can be accurately identified, which is helpful to take targeted measures to eliminate or reduce the defect and improve the overall quality of the image. Since the present application can directly determine the defective area and source based on the composition form of the image signal, it avoids unnecessary global image analysis and improves the efficiency of image processing.

[0074] In some embodiments, the image compensation type is determined based on the source of the image defect; the optional compensation method of the target display device is determined based on the device properties and the preset display format; the compensation processing is divided according to the image defect area and the image compensation type to determine the area to be processed; according to the optional compensation method, image compensation is performed on the area to be processed to determine the target display image.

[0075] The image compensation types corresponding to different image defect sources can be preset. Since some target display devices can only use certain fixed compensation methods, namely optional compensation methods, the optional compensation methods of different target display devices under device properties and preset display forms can be preset.

[0076] Specifically, the image compensation type corresponding to the source of the image defect can be searched first, and then the optional compensation method corresponding to the device attribute and the preset display form can be searched. The image defect area and the image compensation type are input into the preset model for determining the area to be processed, and then the position parameters of the area to be processed are output. Then, the corresponding image compensation can be performed in the area to be processed according to the optional compensation method to determine the target display image.

[0077] Through the method provided in this embodiment, personalized compensation processing can be divided according to the source of image defects. Different defect sources may require different types of compensation methods, and the most suitable compensation type can be accurately identified and matched, thereby improving the pertinence and effectiveness of the compensation processing. The present application also fully considers the device properties and preset display form of the target display device, and can determine the optional compensation method compatible with the device, ensuring that the compensated image can be displayed on the target device with the best effect, avoiding image quality problems caused by device incompatibility. By deeply analyzing the image defect area and the image compensation type, the area to be processed can be accurately divided, avoiding unnecessary global processing, improving processing efficiency and accuracy, and reducing processing costs. Image compensation for the area to be processed according to the optional compensation method can significantly improve image quality. By selecting appropriate compensation algorithms and parameters, image defects can be minimized and key indicators such as image clarity, color reproduction and contrast can be improved.

[0078] In some embodiments, the display requirements of the image signal to be compensated may also be obtained; according to the display requirements, a default compensation method is set to determine the target display image based on the image compensation method and the default compensation method.

[0079] The display requirement may be a user's requirement for image display, such as a definition for display or a display scenario for the image. The default compensation method may be a compensation method corresponding to the display requirement.

[0080] Specifically, the display requirements for the image signal to be compensated input by the user can be obtained first, and then the algorithm is determined according to the preset default compensation method to set the default compensation method. Then, the image to be displayed can be processed using the image compensation method and the default compensation method to obtain the target display image.

[0081] Through the method provided in this embodiment, the default compensation method is set according to the display requirements, so that the compensation strategy is more targeted and effective, which not only reduces unnecessary global processing and improves processing efficiency, but also better adapts to image display requirements under different devices and environmental conditions, ensuring the stability and consistency of image quality.

[0082] In some embodiments, the user's general settings and image display targets of the target display device may be acquired; a first additional compensation method may be determined according to the image display target and the user's general settings, so as to determine the target display image based on the first additional compensation method and the image compensation method.

[0083] Image display targets can be used to indicate the ultimate display purpose of the target display image, such as high-definition picture display, game screen, etc. User general settings can be pre-set based on the user's viewing of pictures, videos, simple picture browsing, etc. on the target display device, and can include the user's general settings for display parameters such as brightness, contrast, color saturation, color temperature, and the user's display goals and expectations for image content (such as movies, games, photos, etc.).

[0084] Specifically, the pre-stored user general settings and image display targets may be obtained first, and then based on the image display targets and the user general settings, a pre-set first additional compensation method may be searched to determine a target display image based on the first additional compensation method and the image compensation method.

[0085] Through the method provided by this embodiment, by obtaining the user's general settings and image display targets of the target display device, the user's preferences and usage habits can be deeply understood. Based on this information, the first additional compensation method is determined, which can make the processed image closer to the user's personalized needs and enhance the user's viewing experience. By combining the user's general settings and the image display targets, the present application can make more detailed adjustments and optimizations to the image according to the specific needs of the user. Whether watching different types of image content or in different environments and lighting conditions, the adaptability and accuracy of the image display can be ensured to meet the diverse needs of users.

[0086] In some embodiments, environmental data of the target display device at the current moment may also be acquired; a second additional compensation method may be determined based on the environmental data, so as to determine the target display image based on the second additional compensation method and the image compensation method.

[0087] The environmental data may be used to represent the light intensity, color temperature, surrounding color, etc. of the surrounding environment where the target display device is located at the current moment.

[0088] Specifically, the environmental data detected by the monitoring device set in the environment where the target display device is located can be obtained first, and then the pre-stored second additional compensation method corresponding to the environmental data can be searched to determine the target display image based on the second additional compensation method and the image compensation method.

[0089] Through the method provided by this embodiment, by acquiring the environmental data of the target display device at the current moment, the environmental state of the display device can be perceived in real time. The second additional compensation method determined based on these environmental data can dynamically adjust the display parameters of the image to adapt to changes in ambient light, interference from surrounding colors, etc., to ensure that the image can maintain the best display effect in any environment. The use of environmental data makes image compensation more accurate and comprehensive. The second additional compensation method can optimize the image in a targeted manner according to the characteristics of the current environment, such as adjusting brightness, contrast, color saturation, etc., to reduce the impact of the environment on image display and improve image clarity and color accuracy.

[0090] Figure 3 A schematic diagram of a display image compensation system provided in one embodiment of the present application is shown in FIG. Figure 3 As shown, the display image compensation system 300 of this embodiment includes: a pre-processing module 301 , a composition form determination module 302 , a defect analysis module 303 and a target display image determination module 304 .

[0091] The preprocessing module 301 is used to obtain the pre-transmitted image signal and perform signal preprocessing on the pre-transmitted image signal according to the preset display format corresponding to the target display device to determine the image signal to be compensated; A composition form determination module 302, used for performing data analysis on the image signal to be compensated and determining the composition form of the image signal; The defect analysis module 303 is used to determine the image defect source and image defect area of ​​the image to be displayed according to the image signal composition form; The target display image determination module 304 is used to divide the image defect area for compensation processing according to the image defect source, the preset display format, the device properties of the target display device and the image defect area, and determine the image compensation method of the divided area to be processed to determine the target display image.

[0092] Optionally, the preprocessing module 301 is specifically used for: Acquiring a pre-transmission image signal; According to the preset display format, determining whether the pre-transmitted image signal meets the display requirements of the target display device; If the conditions are met, the pre-transmitted image signal is pre-processed according to the preset display form, signal transmission mode and display requirements to determine the image signal to be compensated; In case of non-compliance, signal retransmission information is sent to the image signal transmission device.

[0093] Optionally, the preprocessing module 301 is specifically used to: Determine the corresponding signal transmission mode and display requirements according to the pre-transmitted image signal; Determine whether the pre-transmitted image signal matches the display requirement according to the preset display form, signal transmission mode and display requirement; In the case of a match, determining that the pre-transmitted image signal meets the display requirements of the target display device; In the case of mismatch, it is determined that the pre-transmitted image signal does not meet the display requirement of the target display device.

[0094] Optionally, the composition form determination module 302 is specifically used for: Determine the key image signal, the indicative signal and the abnormal signal in the image signal to be compensated according to the preset image composition information; The image signal composition form is determined according to the key image signal, the indicative signal, the abnormal signal and the signal association relationship corresponding to each of the key image signal, the indicative signal and the abnormal signal.

[0095] Optionally, the defect analysis module 303 is specifically used for: Determine the image defect area according to the image signal composition form; An image analysis is performed on the image to be displayed in the image defect area to determine the source of the image defect in the image defect area.

[0096] Optionally, the target display image determination module 304 is specifically configured to: Determine the image compensation type based on the source of image defects; Determine the optional compensation method of the target display device according to the device attributes and the preset display form; Compensation processing is divided according to the image defect area and the image compensation type to determine the area to be processed; According to the optional compensation method, image compensation is performed on the area to be processed to determine the target display image.

[0097] Optionally, the display image compensation system 300 further includes a default compensation mode determination module 305, which is used to: Obtaining display requirements of the image signal to be compensated; According to the display requirements, a default compensation mode is set to determine a target display image based on the image compensation mode and the default compensation mode.

[0098] Optionally, the display image compensation system 300 further includes a first additional compensation mode determination module 306, which is used to: Obtain user general settings and image display targets of a target display device; According to the image display target and the user's general setting, a first additional compensation mode is determined to determine the target display image based on the first additional compensation mode and the image compensation mode.

[0099] Optionally, the display image compensation system 300 further includes a second additional compensation method determination module 307, which is used to: Obtain the current environment data of the target display device; A second additional compensation method is determined according to the environmental data, so as to determine a target display image based on the second additional compensation method and the image compensation method.

[0100] The system of this embodiment can be used to execute the method of any of the above embodiments. The implementation principles and technical effects are similar and will not be described in detail here.

Claims

1. A display image compensation method, characterized in that: include: Acquire a pre-transmitted image signal, and perform signal preprocessing on the pre-transmitted image signal according to a preset display format corresponding to a target display device to determine an image signal to be compensated; Performing data analysis on the image signal to be compensated to determine the composition form of the image signal; Determining the image defect source and image defect area of ​​the image to be displayed according to the image signal composition form; According to the image defect source, the preset display format, the device properties of the target display device and the image defect area, the image defect area is divided for compensation processing, and an image compensation method for the divided area to be processed is determined to determine the target display image.

2. The method according to claim 1, characterized in that The obtaining of the pre-transmitted image signal and performing signal pre-processing on the pre-transmitted image signal according to a preset display format corresponding to the target display device to determine the image signal to be compensated includes: Acquiring the pre-transmission image signal; According to the preset display form, determining whether the pre-transmitted image signal meets the display requirements of the target display device; If the conditions are met, performing signal preprocessing on the pre-transmitted image signal according to the preset display form, the signal transmission mode and the display requirement to determine the image signal to be compensated; In case of non-compliance, signal retransmission information is sent to the image signal transmission device.

3. The method according to claim 2, characterized in that The determining, according to the preset display form, whether the pre-transmitted image signal meets the display requirement of the target display device includes: Determining a corresponding signal transmission mode and display requirement according to the pre-transmitted image signal; Determining whether the pre-transmitted image signal matches the display requirement according to the preset display form, the signal transmission mode and the display requirement; In the case of a match, determining that the pre-transmitted image signal meets the display requirements of the target display device; In the case of mismatch, it is determined that the pre-transmitted image signal does not meet the display requirement of the target display device.

4. The method according to claim 1, characterized in that: The performing data analysis on the image signal to be compensated to determine the composition form of the image signal includes: Determining, according to preset image composition information, a key image signal, an indicative signal, and an abnormal signal in the image signal to be compensated; The image signal composition form is determined according to the key image signal, the indicative signal, the abnormal signal, and the signal association relationship corresponding to each of the key image signal, the indicative signal, and the abnormal signal.

5. The method according to claim 1, characterized in that: The step of determining the image defect source and the image defect area of ​​the image to be displayed according to the image signal composition form includes: Determining an image defect area according to the image signal composition form; An image analysis is performed on the image to be displayed in the image defect area to determine a source of the image defect in the image defect area.

6. The method according to claim 1, characterized in that The method of performing compensation processing and dividing the image defect area according to the image defect source, the preset display form, the device attribute of the target display device and the image defect area, and determining the image compensation method of the divided area to be processed to determine the target display image includes: Determining an image compensation type according to a source of the image defect; Determining an optional compensation method for the target display device according to the device attributes and the preset display form; Perform compensation processing division according to the image defect area and the image compensation type to determine the area to be processed; According to the optional compensation method, image compensation is performed on the area to be processed to determine the target display image.

7. The method according to any one of claims 1 to 6, characterized in that: Also includes: Acquiring display requirements of the image signal to be compensated; According to the display requirement, a default compensation method is set to determine the target display image based on the image compensation method and the default compensation method.

8. The method according to claim 1, characterized in that: Also includes: Acquire user general settings and image display targets of the target display device; A first additional compensation method is determined according to the image display target and the user routine setting, so as to determine the target display image based on the first additional compensation method and the image compensation method.

9. The method according to claim 1, characterized in that: Also includes: Acquire the current environment data of the target display device; A second additional compensation method is determined according to the environmental data, so as to determine the target display image based on the second additional compensation method and the image compensation method.

10. A display image compensation system, characterized in that: include: A preprocessing module, used for acquiring a pre-transmitted image signal, and performing signal preprocessing on the pre-transmitted image signal according to a preset display format corresponding to a target display device, so as to determine an image signal to be compensated; A composition form determination module, used for performing data analysis on the image signal to be compensated to determine the composition form of the image signal; A defect analysis module, used to determine the image defect source and image defect area of ​​the image to be displayed according to the image signal composition form; The target display image determination module is used to divide the image defect area for compensation processing according to the image defect source, the preset display form, the device properties of the target display device and the image defect area, and determine the image compensation method of the divided area to be processed to determine the target display image.

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