A residual image identification and repair method and system for a tiled screen and a display device

Abstract

The present disclosure provides a residual image identification and repair method and system for a tiled screen and a display device. The method comprises: acquiring image information of a display picture of the tiled screen in real time; identifying sub-image information in each sub-screen of the tiled screen in the image information; comparing the sub-image information with preset actual image information; in response to identifying that the corresponding parts of the sub-image information and the actual image information are different, extracting a part of the actual image information that is different from the sub-image information, and covering the corresponding sub-image information with the part. The method can identify the sub-screen image information of the tiled screen, compare and identify the image information on the sub-screen with the actual image information to be displayed, eliminate the residual image of the sub-image information on the sub-screen that does not match the actual display information, and more accurately correspond to the screen position where the residual image should be eliminated when eliminating the residual image of the tiled screen.

Description

Technical Field

[0001] This disclosure relates to the field of display technology, and in particular to a method, system and display device for identifying and repairing afterimages on a video wall. Background Technology

[0002] In recent years, LCD monitors have become increasingly popular due to their advantages such as low operating voltage, low power consumption, low radiation, low space occupation, and slim and aesthetically pleasing design, and have become the mainstream in the market. As people's awareness and requirements for displays continue to improve, higher and higher demands are being placed on display performance, such as high brightness, high contrast, and high response speed. Moreover, the requirements for the overall image quality of the monitor, such as image retention, are becoming increasingly stringent.

[0003] Image retention is one of the significant defects of modern LCDs. Image retention refers to the phenomenon where, after an LCD displays the same fixed image for a long time, the image from the previous image remains faintly visible when the screen transitions to the next image. Ions within the panel move along the electric field towards the upper and lower substrates of the liquid crystal, accumulating on the alignment layer. This accumulation of ions generates static electricity. When the concentration of ions and the resulting static electricity is sufficient to alter the transmittance of the LCD, it causes discrepancies in the display. When switching to the next image, the accumulated ions cannot immediately leave the alignment layer to maintain the original image, thus resulting in image retention.

[0004] Most existing anti-image retention methods are applied to integrated screens, while the implementation on splicing screens still involves eliminating image retention on the entire splicing screen, and cannot identify and repair image retention on a specific sub-screen; therefore, the current methods for repairing image retention on splicing screens urgently need improvement. Summary of the Invention

[0005] In view of this, the purpose of this disclosure is to propose a method, system and display device for image retention recognition and repair that can be applied to splicing screens and can accurately identify and eliminate image retention on split screens.

[0006] To achieve the above objectives, in a first aspect, this application provides a method for image retention recognition and restoration of spliced ​​screens, comprising:

[0007] Real-time acquisition of image information from the splicing screen display;

[0008] Identify sub-image information in each segment of the splicing screen from the image information;

[0009] The sub-image information is compared with the preset actual image information accordingly;

[0010] In response to the identification that the sub-image information is different from the corresponding part of the actual image information, the part of the actual image information that is different from the sub-image information is extracted, and the part is overwritten with the corresponding sub-image information.

[0011] In some optional embodiments, the real-time acquisition of image information from the splicing screen display further includes:

[0012] The splicing screen receives and displays the actual image information preset by the host;

[0013] The image information of each frame displayed on the splicing screen is acquired in real time by a camera device; wherein the image information is generated based on the actual image information.

[0014] In some optional embodiments, identifying sub-image information in each split-screen from the image information further includes:

[0015] Obtain the split-screen splicing method of the splicing screen;

[0016] Based on the aforementioned split-screen splicing method, the image information of the spliced ​​screen display is cropped;

[0017] The cropped image information is used to generate sub-image information for each split screen.

[0018] In some optional embodiments, cropping the image information displayed on the splicing screen further includes:

[0019] The image information is cropped according to an image recognition algorithm.

[0020] In some optional embodiments, generating a corresponding image identifier for each of the sub-image information further includes:

[0021] Obtain the screen splitting mode of the splicing screen;

[0022] Based on the aforementioned screen splitting method, generate image identifiers from the sub-image information of the split screen;

[0023] The image identifiers correspond sequentially to the split screens.

[0024] In some optional embodiments, generating a corresponding image identifier for each of the sub-image information further includes:

[0025] Obtain the screen splitting mode of the splicing screen;

[0026] Based on the aforementioned screen splitting method, generate image identifiers from the sub-image information of the split screen;

[0027] The image identifiers correspond sequentially to the split screens.

[0028] In some optional embodiments, comparing the sub-image information with the actual image information further includes:

[0029] Obtain the actual image information preset by the host;

[0030] Obtain information about the sub-images displayed in each split screen;

[0031] Compare the information of each sub-image with the actual image information at the corresponding location;

[0032] Generate a comparison result;

[0033] The comparison results are either the same or different.

[0034] In some optional embodiments, the comparison of the sub-image information with the actual image information further includes:

[0035] When the comparison results are the same, the sub-image information is decomposed into a certain number of sub-pictures;

[0036] A second comparison is performed between each sub-frame and the actual image information at the corresponding location;

[0037] Generate secondary comparison results.

[0038] In some optional embodiments, the comparison of the sub-image information with the actual image information further includes:

[0039] If the results of the second comparison are the same, the sub-picture is decomposed again, and the decomposed sub-picture is compared with the actual image information at the corresponding position until it is decomposed into the smallest picture unit.

[0040] If the sub-image information is decomposed into the smallest screen unit and the comparison result between the sub-image information and the actual image information is the same, then it is determined that there is no afterimage in the sub-image information in this split screen.

[0041] In some optional embodiments, the step of extracting the portion of the actual image information that differs from the sub-image information and overwriting the corresponding sub-image information in response to recognizing a difference between the sub-image information and the corresponding portion of the actual image information, further includes:

[0042] A corresponding image identifier is generated for each of the sub-image information.

[0043] In some optional embodiments, the step of extracting the portion of the actual image information that differs from the sub-image information when it is detected that the sub-image information is different from the corresponding portion of the actual image information, and overwriting the corresponding sub-image information with that portion, further includes:

[0044] Extract sub-image information that differs from the actual image information and identify it as image information that needs repair.

[0045] Obtain the identifier of the image information that needs to be repaired;

[0046] The actual image information is overlaid on the image information that needs to be repaired by using the identifier;

[0047] In some optional embodiments, the identifier of the image information to be repaired is obtained; further including:

[0048] Based on the sub-image information decomposition of sub-pictures, the identifier is recursively decomposed to generate sub-identifiers;

[0049] The actual image information is overwritten by the sub-identifier to cover the image information that needs to be repaired.

[0050] Based on the same concept, in a second aspect, this application also provides an image retention recognition and repair system, including an anti-image retention unit, which is capable of implementing any of the methods described above.

[0051] In some optional embodiments, the anti-image retention unit has a manual anti-image retention mode and an automatic anti-image retention mode;

[0052] The automatic anti-posture mode is configured as follows:

[0053] The preset operating cycle and startup time of the anti-image retention unit;

[0054] When the system is in standby mode, it triggers the first automatic anti-image retention mode and starts the anti-image retention unit based on the preset startup time. The anti-image retention unit refreshes the interface according to the predetermined running cycle.

[0055] After the system is turned on, the second automatic anti-post-image mode is triggered, the timer is started, and the anti-post-image unit is activated periodically according to the preset value of the timer.

[0056] In some optional embodiments, the manual anti-residual image mode is configured as follows:

[0057] Trigger manual mode to enable the anti-image retention function according to the preset anti-image retention runtime and cycle.

[0058] Based on the same concept, this application also provides a display device in a second aspect, comprising:

[0059] The acquisition module is used to acquire image information of the video wall display in real time;

[0060] The recognition module is used to identify sub-image information in each split screen from the image information;

[0061] The identifier generation module is used to generate a corresponding image identifier for each of the sub-image information;

[0062] An image comparison module is used to compare the sub-image information with preset actual image information;

[0063] The image refresh module is used to refresh the sub-image information in the current split screen according to the identifier when it is found that the sub-image information is different from the actual image information.

[0064] As can be seen from the above, the image retention recognition and repair method, system and display device for splicing screens provided in this disclosure can identify the split-screen image information of the splicing screen, compare and identify the image information on the split screen with the actual image information to be displayed, and thus eliminate the image retention on the sub-image information on the split screen that does not match the actual display information. When eliminating the image retention of the splicing screen, it can more accurately correspond to the screen position where the image retention should be eliminated. Attached Figure Description

[0065] To more clearly illustrate the technical solutions in this disclosure or related technologies, the accompanying drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the accompanying drawings described below are only embodiments of this disclosure. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0066] Figure 1 This is a flowchart of a method for recognizing and repairing afterimages in a video wall according to an embodiment of this disclosure;

[0067] Figure 2 This is a flowchart illustrating step S1 in the image retention recognition and restoration method of this disclosure.

[0068] Figure 3 This is a flowchart illustrating step S2 in the image retention recognition and restoration method of this disclosure.

[0069] Figure 4 This is a flowchart illustrating step S4 in the image retention recognition and restoration method of this disclosure embodiment;

[0070] Figure 5 This is a flowchart illustrating step S5 in the image retention recognition and restoration method of this disclosure embodiment;

[0071] Figure 6 This is a schematic diagram of the electronic device structure of the image retention recognition and restoration system according to an embodiment of the present disclosure;

[0072] Figure 7 This is a schematic diagram of the structure of a display device according to an embodiment of the present disclosure. Detailed Implementation

[0073] To make the objectives, technical solutions, and advantages of this disclosure clearer, the following detailed description is provided in conjunction with specific embodiments and the accompanying drawings.

[0074] It should be noted that, unless otherwise defined, the technical or scientific terms used in the embodiments of this disclosure should have the ordinary meaning understood by one of ordinary skill in the art to which this disclosure pertains. The terms "first," "second," and similar terms used in the embodiments of this disclosure do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Terms such as "comprising" or "including" mean that the element or object preceding the word encompasses the elements or objects listed following the word and their equivalents, without excluding other elements or objects. Terms such as "connected" or "linked" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. Terms such as "upper," "lower," "left," and "right" are used only to indicate relative positional relationships; when the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0075] Before describing in detail the image retention recognition and repair method, system and display device for splicing screens provided in this application, the application scenario and inventive concept of this application will be described first.

[0076] When using an LCD screen, if you notice that the previous image doesn't disappear immediately when switching screens, but rather gradually fades away, this phenomenon is known in the industry as "image retention." Image retention is a noticeable remnant of the previous image; some technicians also describe it as "screen burn-in." It results from prolonged continuous movement of one point and other points. Image retention occurs when the first image should disappear and the second image should appear, but the first image doesn't disappear or completely disappear. This affects the visual effect and appearance of the second image, leading to display abnormalities, i.e., the image retention phenomenon.

[0077] The liquid crystal (LC) in a TFT (Thin Film Transistor) LCD screen is a polar crystalline material that can be distorted by an electric field. The liquid crystal in a TFT must be driven by alternating current (AC). If DC driving is used, the polarity of the crystal will be disrupted. In fact, there is no perfectly symmetrical AC; when continuously driving TFT pixels, slight imbalances attract free ions to the internal electrodes, creating a driving effect similar to DC+ AC. Current LCD screens typically address the image retention problem by using screen savers, which display different content on different pixels—either a moving screen saver or content that switches periodically—to prevent static images from being displayed for an extended period.

[0078] The solution provided in this application is based on the above-mentioned technology. Considering the difference between traditional full-screen and splicing screen, the image retention problem of splicing screen cannot be eliminated by the image retention elimination method on full-screen. Therefore, the inventor takes this as the original intention of the invention and proposes an image retention recognition and repair method for splicing screen that can be accurately and intelligently targeted at split screens, as well as the main body for implementing the method.

[0079] To address this problem, this disclosure provides a method for image retention recognition and restoration. Figure 1 A schematic flowchart of an exemplary image retention recognition and restoration method provided in an embodiment of this disclosure is shown.

[0080] The image retention recognition and restoration method includes the following steps:

[0081] S1: Real-time acquisition of image information from the splicing screen display;

[0082] like Figure 2 As shown, this step specifically includes:

[0083] S101: The splicing screen receives and displays the actual image information preset by the host;

[0084] S102: The image information of each frame displayed on the splicing screen is acquired in real time by a camera device; wherein the image information is generated based on the actual image information.

[0085] In this step, the host camera device collects and captures each frame of image information in real time, uploads it to the host for recording, and the image information is preset on the splicing screen based on the host. After receiving the actual image information preset by the host, the splicing screen displays it. The host then performs edge-trimming and cropping processing on the captured frame image information based on the preset actual image information and the image information displayed on the splicing screen at the corresponding time, so that the splicing screen can display image information in real time. The image information displayed on the splicing screen is obtained in real time and compared with the actual image information preset by the host.

[0086] S2: Identify the sub-image information in each split screen from the image information;

[0087] like Figure 3 As shown, this step specifically includes,

[0088] S201: Obtain the split-screen splicing method of the splicing screen;

[0089] S202: Based on the split-screen splicing method, the image information of the spliced ​​screen is cropped;

[0090] S203: Generate sub-image information for each split screen based on the cropped image information.

[0091] In step S201, the host computer presets the screen connection method according to the specific parameters and specifications of the splicing screen. For example, if the preset splicing screen is a 5*5 splicing scheme, then there are 25 screens.

[0092] In step S202, based on the above steps, the splicing screen is cropped and edge-trimmed to splice it into a seamless splicing screen image.

[0093] Specifically, the image information is cropped according to an image recognition algorithm to obtain the sub-image information actually displayed in each splicing screen.

[0094] In step S203, the sub-image information displayed by each split screen is obtained, and image information composed of the split screens is generated. The sub-image information constitutes the image information of the splicing screen. The sub-image information corresponds to the screen displayed by each split screen and together they form the complete splicing screen image information.

[0095] Between steps S4 and S2, step S3 may also be included: generating a corresponding image identifier for each of the sub-image information;

[0096] This step specifically includes,

[0097] S301: Obtain the screen splitting mode of the splicing screen;

[0098] S302: Generate image identifiers from the sub-image information of the split screen according to the split screen method;

[0099] The image identifiers correspond sequentially to the split screens.

[0100] In the above steps, corresponding identifiers are generated for the sub-image information by splitting the splicing screen. The identifier can be a number according to the arrangement order of the split screen, or it can be an image ID. A unique identifier number is assigned to each split screen. The image identifier corresponds one-to-one with the sub-image information of the split screen and displays the splicing scene. The identifier is used to connect with the host.

[0101] S4: Compare the sub-image information with the preset actual image information;

[0102] like Figure 4 As shown, this step specifically includes,

[0103] S401: Obtain the actual image information preset by the host;

[0104] S402: Obtain information about the sub-images displayed in each split screen;

[0105] S403: Compare the information of each sub-image with the actual image information at the corresponding location;

[0106] S404: Generate a comparison result;

[0107] The comparison results are either the same or different.

[0108] In step 401 above, the actual image information is the image information preset by the host to the splicing screen, and it is also the real image information that the splicing screen is to display. In step 402, the sub-image information in the split screen is the image information displayed on the split screen. Under normal circumstances without image retention, the sub-image information and the image information should be the same as the actual image information. Then, the comparison step in step 403 is performed to determine whether the sub-image information is the same as the actual image information. If the comparison result is the same, it means that the sub-image information displayed on the split screen is the actual image information to be displayed, and it is determined that the image displayed on the current split screen has no image retention. Conversely, if the comparison result of the sub-image information and the actual image information is different, it means that the sub-image information displayed on the split screen is not the actual image information to be displayed, and it is determined that the image displayed on the current split screen has image retention, which needs to be repaired. The generated comparison result is transmitted to the host for further processing.

[0109] In some optional embodiments, step S4 further includes:

[0110] S405: When the comparison results are the same, the sub-image information is decomposed into a certain number of sub-pictures;

[0111] S406: Secondary comparison of each sub-screen with the actual image information at the corresponding location;

[0112] S407: Generate secondary comparison results.

[0113] In the above steps, the sub-image information in the split screen can be further decomposed, such as decomposing the image information of the first split screen into 16 sub-screens of 4*4, and generating corresponding sub-identifiers. Then, the sub-screens are compared with the actual image information, which can more accurately locate the position where the afterimage phenomenon occurs and make a more accurate judgment. The generated secondary comparison results are transmitted to the host for further processing.

[0114] In some optional embodiments, step S4 may further include, based on the above-described implementation:

[0115] S408: When the results of the second comparison are the same, the sub-picture is decomposed again, and the decomposed sub-picture is compared with the actual image information at the corresponding position until it is decomposed into the smallest picture unit.

[0116] S409: When the sub-image information is decomposed into the smallest screen unit, and the comparison result between the sub-image information and the actual image information is the same, it is determined that there is no afterimage in the sub-image information in this split screen.

[0117] In this example, the host recursively decomposes the sub-image information according to a certain decomposition coefficient. Each decomposition is followed by an image comparison until the smallest screen unit is reached. In this example, the smallest screen unit is 1 pixel. The recursive decomposition is repeated and compared with the image information until the smallest screen unit is reached. If the comparison result between the sub-image information and the actual image information is the same, it is determined that there is no image retention in the sub-image information in this split screen, and no image retention information is sent to the host. If the comparison result is different during the decomposition and comparison process, image retention information is sent to the host, triggering the host's image retention elimination command.

[0118] S5: In response to the detection that the sub-image information is different from the corresponding part of the actual image information, the part of the actual image information that is different from the sub-image information is extracted, and the part is used to cover the corresponding sub-image information.

[0119] like Figure 5 As shown, this step specifically includes,

[0120] S501: Extract sub-image information that differs from the actual image information and identify it as image information that needs to be repaired;

[0121] S502: Obtain the identifier of the image information to be repaired;

[0122] S503: Based on the sub-image information decomposition of the sub-picture, the identifier is recursively decomposed to generate sub-identifiers;

[0123] S504: Refresh the image information to be repaired using the actual image information through the sub-identifier.

[0124] In the above steps, the host first confirms the image information to be repaired and extracts the corresponding identifier. If it is in a sub-screen that is recursively decomposed, the sub-identifier is extracted and the corresponding sub-image information identifier is brought out for recognition. Then, the sub-identifier is used to refresh the image of the split screen containing the image information to be repaired, thus completing the image retention repair process.

[0125] Example: When the split screen is 5*5=25, the overall screen is decomposed into 25 sub-image information; then, the image similarity algorithm is used to compare it with the image after cropping from the camera in real time. If a complete match is found, it is ignored; if a sub-image information identifier is found to be different (the identifier is a unique identifier number assigned to the device of the split screen, for example, the identifier of device 1 is the unique physical address of the device + number 1, if the numbering is further subdivided into sub-screens, then the identifier of this sub-screen is the unique physical address of the device + number 01 (two digits) + unique sub-screen number (N digits); for example: physical address + 01 + 001 + 002 + 005, the numbering is done 4 times for the split screen), then the identifier is recursively decomposed, and the decomposition coefficient is a.

[0126] Assuming ID = 3 and a = 10, the sub-image information of the 3rd split screen is further decomposed into 4*4 = 16 sub-pictures, and then further decomposed into 16 sub-pictures. If some of these 100 sub-pictures do not match, their identifiers are recorded. If all 100 sub-pictures match, the process continues recursively until the image is decomposed into 1 pixel. During the recursive decomposition process, if any sub-picture comparison result is different, the image is refreshed by the host. The IDs of the mismatched sub-pictures are refreshed in real time. Since the afterimage left by the LCD monitor is not permanent, it is caused by the window remaining in a certain position for too long. The longer the monitor is on, the longer the image remains in a certain position, and the higher the probability of this phenomenon. Therefore, the refresh mechanism can solve the afterimage problem, that is, it can solve the afterimage problem in real time.

[0127] In summary, the splicing screen afterimage recognition and repair method provided in this embodiment can identify the split-screen image information of the splicing screen, compare and identify the image information on the split screen with the actual image information to be displayed, and thus eliminate afterimages on the sub-image information on the split screen that do not match the actual display information. When eliminating afterimages on the splicing screen, it can more accurately correspond to the screen position where the afterimage should be eliminated.

[0128] It should be noted that the method of this disclosure embodiment can be executed by a single device, such as a computer or server. The method of this embodiment can also be applied to a distributed scenario, where multiple devices cooperate to complete the task. In such a distributed scenario, one of these devices may execute only one or more steps of the method of this disclosure embodiment, and the multiple devices will interact with each other to complete the method described.

[0129] It should be noted that the above description describes some embodiments of this disclosure. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in a different order than that shown in the above embodiments and still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the corresponding or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0130] Based on the same inventive concept, this application also provides an image retention recognition and repair system, including an anti-image retention unit, which can implement the method described in any of the above embodiments.

[0131] Furthermore, the anti-image retention unit has a manual anti-image retention mode and an automatic anti-image retention mode;

[0132] The automatic anti-post-image mode is configured as follows:

[0133] The preset operating cycle and startup time of the anti-image retention unit;

[0134] When the system is in standby mode, it triggers the first automatic anti-image retention mode and starts the anti-image retention unit based on the preset startup time. The anti-image retention unit refreshes the interface according to the predetermined running cycle.

[0135] After the system is turned on, the second automatic anti-post-image mode is triggered, the timer is started, and the anti-post-image unit is activated periodically according to the preset value of the timer.

[0136] The automatic anti-post-image mode is implemented as follows: after the user activates the automatic anti-post-image mode, it will start automatically according to the preset running cycle and timed start time. There are two scenarios.

[0137] When the system is first turned on, if it is set to automatic anti-residual image, a timer will be started. When the timer expires, the image will be refreshed automatically. The preset time can be set by the user.

[0138] At the set time each day, if the machine is not turned off, the timer will automatically clear and then perform a preset timer according to the user's daily cycle. When the timer expires, the anti-residual image interface will be activated and the interface will be refreshed.

[0139] The manual anti-residual image mode is configured as follows:

[0140] Trigger manual mode to enable the anti-image retention function according to the preset anti-image retention runtime and cycle.

[0141] The manual anti-residual image mode is implemented as follows: when the user clicks "manual," a colored bar will be displayed on the screen according to the preset running time, cycle, and color. The bar refreshes the interface from left to right or from top to bottom, similar to activating a screensaver. When a digital sign displays an image for a long time without any changes in the interface display, residual images are likely to occur. Because the user can manually activate the anti-residual image bar, the bar will automatically disappear after running for a few minutes, restoring the original interface display effect.

[0142] Manual anti-image retention processing: After clicking start, anti-image retention processing will start automatically and will be processed according to the running time and running mode set below;

[0143] Automatic anti-image retention processing: After selecting "Enable", the appointment time setting will be displayed below.

[0144] • Runtime (hours): Sets the automatic run time, 00-23, default 00;

[0145] • Running time (hours): Set the minutes for automatic running, 00-59, default 00;

[0146] • Running cycle: Set the automatic running cycle: 1 hour, 2 hours, 5 hours, 10 hours; default is 1 hour;

[0147] Runtime: Sets the time for each anti-residual image activation: 1 minute, 2 minutes, 5 minutes, 10 minutes; default is 1 minute.

[0148] Operating modes: Moving color bar, Default video, Custom video; The default option is Moving color bar.

[0149] Operating modes: There are three modes. Because a single color bar is too monotonous, images or videos can enrich the interface and improve the user experience of anti-residual image processing.

[0150] When you select to move the color bar, the following will be displayed:

[0151] Stripe colors: red, green, blue, yellow, white, black, gray; default is red.

[0152] Movement direction: horizontal, vertical, default is horizontal;

[0153] When selecting a custom video, the custom video settings (landscape) and custom video settings (portrait) are displayed below, allowing you to select a local video as the running video;

[0154] After opening, the page will display only video files that meet the specified format, similar to the file manager section. If no matching file is found, an empty file display will appear. Press the "OK" button on the remote control to select a file. After selection, click "OK" on the right to confirm the changes; or select "Cancel" to close the interface.

[0155] Pixel Shift: On / Off. Off by default. When on, the pixel shift function will be activated.

[0156] The above system can realize the image retention recognition and repair method in the foregoing embodiments, and has both manual and automatic modes, which improves the user's autonomy in configuring the method and system.

[0157] Combination Figure 6 As shown, the system of this embodiment is applied in an electronic device, which may include: a processor 1010, a memory 1020, an input / output interface 1030, a communication interface 1040, and a bus 1050. The processor 1010, memory 1020, input / output interface 1030, and communication interface 1040 are interconnected within the device via the bus 1050.

[0158] The processor 1010 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this specification.

[0159] The memory 1020 can be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory), static storage device, dynamic storage device, etc. The memory 1020 can store the operating system and other applications. When the technical solutions provided in the embodiments of this specification are implemented by software or firmware, the relevant program code is stored in the memory 1020 and is called and executed by the processor 1010.

[0160] The input / output interface 1030 is used to connect input / output modules to realize information input and output. Input / output modules can be configured as components within the device (not shown in the figure) or externally connected to the device to provide corresponding functions. Input devices may include keyboards, mice, touchscreens, microphones, various sensors, etc., while output devices may include displays, speakers, vibrators, indicator lights, etc.

[0161] The communication interface 1040 is used to connect a communication module (not shown in the figure) to enable communication between this device and other devices. The communication module can communicate via wired means (such as USB, Ethernet cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.).

[0162] Bus 1050 includes a pathway for transmitting information between various components of the device, such as processor 1010, memory 1020, input / output interface 1030, and communication interface 1040.

[0163] It should be noted that although the above-described device only shows the processor 1010, memory 1020, input / output interface 1030, communication interface 1040, and bus 1050, in specific implementations, the device may also include other components necessary for normal operation. Furthermore, those skilled in the art will understand that the above-described device may only include the components necessary for implementing the embodiments of this specification, and not necessarily all the components shown in the figures.

[0164] The system described in the above embodiments can be applied to any electronic device. The instructions of the electronic device are used to cause the system in the electronic device to execute the image retention recognition and repair method as described in any of the above embodiments, and have the beneficial effects of the corresponding method embodiments, which will not be repeated here.

[0165] Based on the same inventive concept, this application also provides a display device, combined with Figure 7 As shown, the display device includes:

[0166] Module 1 is used to acquire image information of the splicing screen display in real time;

[0167] Recognition module 2 is used to identify sub-image information in each split screen from the image information;

[0168] Identifier generation module 3 is used to generate a corresponding image identifier for each of the sub-image information;

[0169] Image comparison module 4 is used to compare the sub-image information with preset actual image information;

[0170] The image refresh module 5 is used to, in response to the detection that the sub-image information is different from the corresponding part of the actual image information, extract the part of the actual image information that is different from the sub-image information and overwrite the corresponding sub-image information with the part.

[0171] For ease of description, the above apparatus is described in terms of its functions, divided into various modules. Of course, in implementing this disclosure, the functions of each module can be implemented in one or more software and / or hardware.

[0172] The apparatus described above is used to implement the corresponding image retention and repair method in any of the foregoing embodiments, and has the beneficial effects of the corresponding method embodiments, which will not be repeated here.

[0173] Those skilled in the art should understand that the discussion of any of the above embodiments is merely exemplary and is not intended to imply that the scope of this disclosure (including the claims) is limited to these examples; within the framework of this disclosure, the technical features of the above embodiments or different embodiments can also be combined, the steps can be implemented in any order, and there are many other variations of different aspects of the embodiments of this disclosure as described above, which are not provided in detail for the sake of brevity.

[0174] Additionally, to simplify the description and discussion, and to avoid obscuring the embodiments of this disclosure, well-known power / ground connections to integrated circuit chips and other components may or may not be shown in the provided drawings. Furthermore, the apparatus may be illustrated in block diagram form to avoid obscuring the embodiments of this disclosure, and this also takes into account the fact that the details of implementation of these block diagram apparatuses are highly dependent on the platform on which the embodiments of this disclosure will be implemented (i.e., these details should be fully understood by those skilled in the art). While specific details have been set forth to describe exemplary embodiments of this disclosure, it will be apparent to those skilled in the art that the embodiments of this disclosure may be implemented without these specific details or with variations thereof. Therefore, these descriptions should be considered illustrative rather than restrictive.

[0175] Although this disclosure has been described in conjunction with specific embodiments thereof, many substitutions, modifications, and variations of these embodiments will be apparent to those skilled in the art from the foregoing description. For example, other memory architectures (e.g., dynamic RAM (DRAM)) may be used with the embodiments discussed.

[0176] This disclosure is intended to cover all such substitutions, modifications, and variations that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A residual image recognition repair method for tiled screens, characterized in that, The method comprises: real-time acquisition of image information of a display picture of a splicing screen; identification of sub-image information in each sub-screen of the splicing screen in the image information; comparison of the sub-image information with preset actual image information; in response to identification of a difference between the sub-image information and the corresponding part of the actual image information, extraction of a part of the actual image information that is different from the sub-image information, and covering of the part over the corresponding sub-image information; wherein the identification of the sub-image information in each sub-screen of the splicing screen in the image information further comprises: acquisition of a sub-screen splicing mode of the splicing screen; based on the sub-screen splicing mode, cutting of the image information of the display picture of the splicing screen; and generation of sub-image information corresponding to each sub-screen from the cut image information; the comparison of the sub-image information with the preset actual image information further comprises: acquisition of actual image information preset by a host; acquisition of sub-image information displayed in each sub-screen; comparison of each sub-image information with actual image information at a corresponding position; generation of a first comparison result; wherein the comparison result is the same or different; in the case of the same first comparison result, decomposition of the sub-image information into a certain number of sub-pictures; second comparison of each sub-picture with actual image information at a corresponding position; and generation of a second comparison result; the method further comprises generation of an image identifier corresponding to each sub-image information by the following method: acquisition of a sub-screen mode of the splicing screen; generation of an image identifier from sub-image information of a sub-screen according to the sub-screen mode; wherein the image identifier and the sub-screen correspond in sequence; wherein the generation of an image identifier from sub-image information of a sub-screen according to the sub-screen mode further comprises: recursive decomposition of the identifier based on sub-pictures decomposed from the sub-image information, to generate a sub-identifier; and covering of actual image information that is different from the corresponding part of the actual image information by the sub-identifier.

2. The afterimage recognition repair method of a tiled screen according to claim 1, characterized in that, the real-time acquisition of image information of a display picture of a splicing screen further comprises: the splicing screen receives and displays actual image information preset by a host; real-time acquisition of each frame of image information displayed by the splicing screen by a camera device; wherein the image information is generated based on the actual image information.

3. The afterimage recognition repair method of a tiled screen according to claim 1, characterized in that, the comparison of the sub-image information with the actual image information further comprises: in the case of the same second comparison result, repeated decomposition of the sub-pictures, and comparison of the decomposed sub-pictures with actual image information at a corresponding position, until the sub-pictures are decomposed into the smallest picture unit; after the sub-image information is decomposed into the smallest picture unit, the comparison result of the sub-image information and the actual image information is the same, and it is determined that there is no residual image in the sub-image information in this sub-screen.

4. The afterimage recognition repair method of a tiled screen according to claim 1, characterized by, in response to identification of a difference between the sub-image information and the corresponding part of the actual image information, extraction of a part of the actual image information that is different from the sub-image information, and covering of the part over the corresponding sub-image information, the method further comprises: generation of an image identifier corresponding to each sub-image information.

5. A residual image recognition repair system characterized by: an anti-residual image unit that can implement the method of any one of claims 1-4.

6. The afterimage recognition repair system of claim 5, wherein, The anti-afterimage unit has a manual anti-afterimage mode and an automatic anti-afterimage mode; The automatic anti-afterimage mode is configured to: preset the running period and starting time of the anti-afterimage unit; In the standby state, the system triggers the first automatic anti-afterimage mode, starts the anti-afterimage unit based on the preset starting time, and performs interface refreshing according to the predetermined running period. After the system is started, the second automatic anti-afterimage mode is triggered, a timer is started, and the anti-afterimage unit is started periodically according to the preset value of the timer.

7. The afterimage recognition repair system of claim 6, wherein, The manual anti-afterimage mode is configured to: trigger the manual mode, and start the anti-afterimage function according to the preset anti-afterimage running time and running period.

8. A display device, characterized by comprising: It includes: an acquisition module for acquiring image information of a display picture of a spliced screen in real time; an identification module for identifying sub-image information in each split screen in the image information; an identification generation module for generating corresponding image identification for each sub-image information; an image comparison module for comparing the sub-image information with preset actual image information; an image refreshing module for extracting a part of the actual image information that is different from the sub-image information and covering the part to the corresponding sub-image information in response to identifying that the corresponding part of the sub-image information and the actual image information is different; The identification module is specifically configured to acquire the split screen splicing mode of the spliced screen, crop the image information of the display picture of the spliced screen based on the split screen splicing mode, and generate sub-image information for each split screen from the cropped image information. The image comparison module is specifically configured to acquire the actual image information preset by the host, acquire the sub-image information displayed in each split screen, compare each sub-image information with the actual image information at the corresponding position, generate a primary comparison result, and generate a secondary comparison result when the primary comparison result is the same. The identification generation module is specifically configured to acquire the split screen mode of the spliced screen, generate image identification for the sub-image information of the split screen according to the split screen mode, and sequentially correspond the image identification and the split screen. According to the split screen mode, the sub-image information of the split screen is further generated into image identification, which further includes: based on the sub-pictures decomposed from the sub-image information, recursively decomposing the identification to generate sub-identification, and covering the image information different from the actual image information at the corresponding position of the actual image information by the sub-identification.

Images