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CN115661490A - Residual image identification and restoration method and system of spliced screen and display device - Google Patents

Residual image identification and restoration method and system of spliced screen and display device Download PDF

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Publication number
CN115661490A
CN115661490A CN202211321094.3A CN202211321094A CN115661490A CN 115661490 A CN115661490 A CN 115661490A CN 202211321094 A CN202211321094 A CN 202211321094A CN 115661490 A CN115661490 A CN 115661490A
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Prior art keywords
image information
sub
screen
image
afterimage
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沈艳
夏友祥
张超
房德利
刘峰凌
马珵
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BOE Technology Group Co Ltd
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BOE Technology Group Co Ltd
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Priority to CN202211321094.3A priority Critical patent/CN115661490A/en
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Abstract

The disclosure provides a residual image identification and repair method and system of a spliced screen and a display device. The method comprises the steps of acquiring image information of a display picture of a splicing screen in real time; identifying sub-image information in each split screen of the spliced screen in the image information; correspondingly comparing the subimage information with preset actual image information; and in response to recognizing that the sub-image information is different from the corresponding part of the actual image information, extracting the part, which is different from the sub-image information, in the actual image information, and covering the part with the corresponding sub-image information. The method can identify the split-screen image information of the spliced screen, and compares and identifies the image information on the split screen with the image information to be actually displayed, so that the residual image of the sub-image information on the split screen which is not in accordance with the actual display information is eliminated, and the residual image of the spliced screen can be accurately corresponding to the screen position where the residual image is to be eliminated when the residual image is eliminated.

Description

Residual image identification and restoration method and system of spliced screen and display device
Technical Field
The disclosure relates to the technical field of display, in particular to a method and a system for identifying and repairing residual images of a spliced screen and a display device.
Background
In recent years, liquid crystal displays have become popular due to their advantages of low operating voltage, low power consumption, low radiation, low space occupation, light weight, and good appearance, and thus become the mainstream of the market. With the increasing level of understanding and the increasing requirements for display, higher and higher requirements are also put forward on display performance, such as high brightness, high contrast, high response speed, and the like, and the requirements for image quality of the whole display, such as residual image, are also more and more demanding.
The afterimage is one of the significant defects of the LCD, and the afterimage means that the LCD displays the same fixed frame for a long time, and when the frame is switched to the next frame, the image of the previous frame is hidden. Ions in the panel move to the upper substrate and the lower substrate of the liquid crystal along the direction of an electric field and are gathered on the orientation layer, the gathered ions generate static electricity, when the static electricity generated by the concentration of the ions is enough to change the transmittance of the LCD, the display of the LCD is different, when the next picture is switched, the gathered ions cannot leave the orientation layer immediately and continue to keep the original image, and therefore image residue occurs.
Most of the existing anti-afterimage modes are applied to an integrated screen, and the implementation on the spliced screen still means that the afterimage is eliminated integrally on the spliced screen, and the afterimage cannot be identified and repaired for a certain sub-screen; therefore, improvement on the residual image repairing method of the spliced screen is needed at present.
Disclosure of Invention
In view of the above, an object of the present disclosure is to provide an image sticking identification and repair method, system and display device that can be applied to a tiled screen and can accurately perform image sticking identification and elimination on the split screen.
Based on the above purpose, in a first aspect, the present application provides a method for identifying and repairing an afterimage of a spliced screen, including:
acquiring image information of a display picture of a splicing screen in real time;
identifying sub-image information in each split screen of the spliced screen in the image information;
correspondingly comparing the subimage information with preset actual image information;
and in response to recognizing that the sub-image information is different from the corresponding part of the actual image information, extracting the part, which is different from the sub-image information, in the actual image information, and covering the part with the corresponding sub-image information.
In some optional embodiments, the acquiring, in real time, image information of a display frame of a mosaic screen further includes:
the spliced screen receives and displays actual image information preset by the host;
acquiring each frame of image information displayed by the spliced screen in real time through a camera device; wherein the image information is generated based on the actual image information.
In some optional embodiments, the identifying the sub-image information in each split screen in the image information further comprises:
acquiring a split screen splicing mode of a spliced screen;
based on the split screen splicing mode, cutting the image information of the display picture of the spliced screen;
and generating sub-image information by corresponding the clipped image information to each split screen.
In some optional embodiments, the cropping the image information of the display frame of the spliced screen further includes:
and clipping the image information according to an image recognition algorithm.
In some optional embodiments, the generating a corresponding image identifier corresponding to each of the sub-image information further includes:
acquiring a split screen mode of the spliced screen;
generating image identification for the sub-image information of the split screen according to the split screen mode;
and the image identification and the split screen correspond to each other in sequence.
In some optional embodiments, the generating a corresponding image identifier corresponding to each of the sub-image information further includes:
acquiring a split screen mode of the spliced screen;
generating image identification for the sub-image information of the split screen according to the split screen mode;
and the image identification and the split screens sequentially correspond to each other.
In some optional embodiments, the comparing the sub-image information with the actual image information further includes:
acquiring actual image information preset by a host;
acquiring sub-image information displayed in each split screen;
comparing the information of each sub-image with the actual image information of the corresponding position;
generating a primary comparison result;
wherein the comparison results are the same or different.
In some optional embodiments, the comparing the sub-image information with the actual image information further includes:
when the primary comparison results are the same, decomposing the sub-image information into a certain number of sub-pictures;
secondarily comparing each sub-picture with the actual image information of the corresponding position;
and generating a secondary comparison result.
In some optional embodiments, the comparing the sub-image information with the actual image information further includes:
when the secondary comparison results are the same, repeatedly decomposing the sub-picture, and comparing the decomposed sub-picture with the actual image information of the corresponding position until the sub-picture is decomposed into a minimum picture unit;
and after the sub-image information is decomposed into the minimum picture unit, judging that the sub-image information in the split screen has no residual image when the comparison result of the sub-image information and the actual image information is the same.
In some optional embodiments, in response to recognizing that the sub-image information is different from the corresponding part of the actual image information, the method further includes, before extracting a part of the actual image information different from the sub-image information and overlaying the part on the corresponding sub-image information:
and generating a corresponding image identifier corresponding to each sub-image information.
In some optional embodiments, in response to recognizing that the sub-image information is different from the corresponding portion of the actual image information, extracting a portion of the actual image information different from the sub-image information, and overlaying the portion on the corresponding sub-image information, further includes:
extracting sub-image information with a different comparison result with the actual image information, and identifying the sub-image information as image information needing to be repaired;
acquiring an identifier of the image information to be repaired;
covering the actual image information to the image information to be repaired through the identification;
in some optional embodiments, an identifier of the image information to be repaired is obtained; further still include:
carrying out recursive decomposition on the identifier based on the sub-picture decomposed by the sub-picture information to generate a sub-identifier;
and covering the actual image information with the image information to be repaired through the sub-identifier.
Based on the same concept, the present application further provides, in a second aspect, an afterimage recognition and repair system, which includes an anti-afterimage unit, where the anti-afterimage unit can implement the method according to any one of the above schemes.
In some optional embodiments, the anti-afterimage unit has a manual anti-afterimage mode and an automatic anti-afterimage mode;
the automatic anti-afterimage mode is configured to:
presetting the operation cycle and the starting time of the anti-afterimage unit;
the method comprises the steps that a system triggers a first automatic anti-afterimage mode in a standby state, an anti-afterimage unit is started based on preset starting time, and the anti-afterimage unit carries out interface refreshing according to a preset running period;
and after the system is started, triggering a second automatic anti-afterimage mode, starting a timer, and periodically starting an anti-afterimage unit according to a preset value of the timer.
In some optional embodiments, the manual anti-afterimage mode is configured to:
and triggering a manual mode, and starting an anti-afterimage function according to preset anti-afterimage running time and running period.
Based on the same concept, the present application also provides, in a second aspect, a display device comprising:
the acquisition module is used for acquiring image information of a display picture of the splicing screen in real time;
the identification module is used for identifying the sub-image information in each split screen in the image information;
the identification generation module is used for generating a corresponding image identification corresponding to each sub-image information;
the image comparison module is used for comparing the subimage information with preset actual image information;
and the image refreshing module is used for refreshing the sub-image information in the current split screen according to the identification in response to the fact that the sub-image information is different from the actual image information.
As can be seen from the above, the residual image identification and restoration method, the residual image identification and restoration system and the display device for the spliced screen provided by the disclosure can identify the split-screen image information of the spliced screen, compare and identify the image information on the split screen with the image information to be actually displayed, thereby eliminating the residual image of the sub-image information on the split screen which is not in accordance with the actually displayed information, and more accurately corresponding to the screen position where the residual image should be eliminated when eliminating the residual image of the spliced screen.
Drawings
In order to more clearly illustrate the technical solutions in the present disclosure or related technologies, the drawings needed to be used in the description of the embodiments or related technologies are briefly introduced below, and it is obvious that the drawings in the following description are only embodiments of the present disclosure, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart of a residual image identification and repair method for a spliced screen according to an embodiment of the present disclosure;
fig. 2 is a detailed flowchart of step S1 in the afterimage identification and repair method according to the embodiment of the disclosure;
fig. 3 is a detailed flowchart of step S2 in the afterimage identification and repair method according to the embodiment of the disclosure;
fig. 4 is a specific flowchart of step S4 in the afterimage identification and repair method according to the embodiment of the disclosure;
fig. 5 is a specific flowchart of step S5 in the afterimage identification and repair method according to the embodiment of the disclosure;
fig. 6 is a schematic structural diagram of an electronic device applying an afterimage recognition and repair system according to an embodiment of the disclosure;
fig. 7 is a schematic structural diagram of a display device according to an embodiment of the disclosure.
Detailed Description
To make the objects, technical solutions and advantages of the present disclosure more apparent, the present disclosure will be described in further detail below with reference to specific embodiments and the accompanying drawings.
It is to be noted that technical terms or scientific terms used in the embodiments of the present disclosure should have a general meaning as understood by one having ordinary skill in the art to which the present disclosure belongs, unless otherwise defined. The use of "first," "second," and similar terms in the embodiments of the disclosure is not intended to indicate any order, quantity, or importance, but rather is used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that the element or item listed before the word covers the element or item listed after the word and its equivalents, but does not exclude other elements or items. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", and the like are used merely to indicate relative positional relationships, and when the absolute position of the object being described is changed, the relative positional relationships may also be changed accordingly.
Before specifically describing the method, the system and the display device for identifying and repairing the residual image of the spliced screen provided by the application, an application scenario and an inventive concept of the application are described first.
With an LCD display screen, if it is found that the screen is switched, the previous picture does not disappear immediately, but gradually disappears. This phenomenon is known in the industry as the "afterimage" phenomenon of the display screen; ghosting is a significant residue of the previous picture, which some technicians will also describe as "screen burn". Is the result of driving one point and the other continuously for a long time. The occurrence of the afterimage is caused by the situation that the first picture should disappear and the second picture should appear, but the first picture does not disappear or completely, which affects the visual effect and appearance of the second picture, thereby causing the phenomenon of abnormal display, i.e. afterimage.
The Liquid Crystal (LC) in a TFT (thin film transistor) in a liquid crystal panel is a polar crystalline material that can be twisted by an electric field. The liquid crystal in the thin film transistor must be driven by alternating current. If DC drive is used, the polarity of the crystal will be destroyed. In fact, there is no absolutely symmetrical alternating current; when TFT pixels are driven successively, the associated slight imbalance attracts free ions to the inner electrode, and ions attracted to the inner electrode cause a DC + ac like drive effect. The existing liquid crystal screen usually uses a screen saver when solving the problem of image retention, namely, pixels of the screen display different contents, namely, a mobile screen saver or contents switched at random, thereby avoiding displaying a static picture for more than a certain time.
The scheme provided by the application is based on the technology, and in consideration of the difference between the traditional full screen and the spliced screen, the residual image problem of the spliced screen cannot be eliminated by applying the residual image on the full screen, so that the inventor takes the residual image as the original purpose of the invention and provides the residual image identification and restoration method for the split screen, which is accurate and intelligent, and the realization main body of the residual image identification and restoration method.
In order to solve the problem, an afterimage identification and repair method provided by the embodiment of the disclosure is provided. Fig. 1 shows an exemplary flowchart of an afterimage identification and repair method provided by an embodiment of the present disclosure.
The afterimage identification and restoration method comprises the following steps,
s1: acquiring image information of a display picture of a splicing screen in real time;
as shown in fig. 2, the steps specifically include:
s101: the splicing screen receives and displays actual image information preset by the host;
s102: acquiring each frame of image information displayed by the spliced screen in real time through a camera device; wherein the image information is generated based on the actual image information.
In the step, each frame of image information is acquired and captured in real time through a host camera device and uploaded to a host for recording, the image information is preset on a splicing screen based on the host, the splicing screen displays the image information after receiving actual image information preset by the host, the host carries out trimming and cutting processing on the acquired frame of image information based on the preset actual image information and each frame of image information displayed on the splicing screen at the corresponding moment, and then the splicing screen displays the image information in real time; and acquiring image information displayed by the splicing screen in real time, and comparing the image information with actual image information preset by the host.
S2: identifying sub-image information in each split screen in the image information;
as shown in fig. 3, this step specifically includes,
s201: acquiring a split screen splicing mode of a spliced screen;
s202: based on a split screen splicing mode, cutting image information of a display picture of a splicing screen;
s203: and generating sub-image information by corresponding the clipped image information to each split screen.
In step S201, the host computer presets a split screen connection manner according to specific parameters and specifications of the spliced screen, and if the splicing scheme is preset as 5*5, the number of split screens is 25;
in step S202, the mosaic screen is clipped and trimmed based on the above steps, and a seamless mosaic screen image is obtained.
And the image information is cut according to an image recognition algorithm to be cut, and the sub-image information actually displayed in the split screen of each spliced screen is obtained.
In step S203, the sub-image information displayed by each sub-screen is obtained, and image information composed of sub-screens is generated, where the sub-image information constitutes image information of the mosaic screen, and the sub-image information corresponds to the picture displayed by each sub-screen and jointly constitutes complete mosaic screen image information.
Between the steps S4 and S2, a step S3 may be further included: generating a corresponding image identifier corresponding to each sub-image information;
the steps specifically comprise the steps of,
s301: acquiring a split screen mode of the spliced screen;
s302: generating image identification for the sub-image information of the split screen according to the split screen mode;
and the image identification and the split screen correspond to each other in sequence.
In the above steps, a corresponding identifier is generated for the sub-image information in a split screen mode of the split screen, the identifier may be a number according to a split screen arrangement sequence, the identifier may be an image ID, the split screen is uniquely identified and numbered, the image identifier corresponds to the sub-image information of the split screen one to one, and a split scene is displayed, and the identifier is used for being connected with the host.
S4: comparing the subimage information with preset actual image information;
as shown in fig. 4, this step specifically includes,
s401: acquiring actual image information preset by a host;
s402: acquiring sub-image information displayed in each split screen;
s403: comparing the information of each sub-image with the actual image information of the corresponding position;
s404: generating a primary comparison result;
wherein, the comparison results are the same or different;
in the step 401, the actual image information is the image information preset to the mosaic screen by the host, and is also the real image information to be displayed by the mosaic screen; in step 402, the sub-image information in the split screen is the image information displayed on the split screen, and the sub-image information and the image information should be the same as the actual image information under the condition that the afterimage problem does not occur normally; and then, the comparison step of 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, the sub-image information displayed on the split screen represents that the image information to be actually displayed is, then it is determined that the image displayed on the split screen does not have the afterimage phenomenon, otherwise, if the comparison result of the sub-image information is different from the actual image information, the sub-image information displayed on the split screen represents that the image information to be actually displayed is not, then it is determined that the image displayed on the split screen has the afterimage phenomenon and needs to be subjected to afterimage restoration, and the generated primary comparison result is transmitted to the host computer for other processing.
In some optional embodiments, step S4 further includes:
s405: when the primary comparison results are the same, decomposing the sub-image information into a certain number of sub-pictures;
s406: secondarily comparing each sub-picture with the actual image information of the corresponding position;
s407: and generating a secondary comparison result.
In the above steps, the sub-image information in the split screen may be decomposed again, for example, the image information of the first split screen may be decomposed into 16 sub-pictures of 4*4, and corresponding sub-identifiers may be generated, so that the sub-pictures are compared with the actual image information, the position where the afterimage phenomenon occurs may be more accurately located, and the determination is more accurate, and the generated secondary comparison result is transmitted to the host for other processing.
In some optional embodiments, step S4 may further include, on the basis of the foregoing embodiment:
s408: when the secondary comparison results are the same, repeatedly decomposing the sub-picture, and comparing the decomposed sub-picture with the actual image information of the corresponding position until the sub-picture is decomposed into a minimum picture unit;
s409: and after the sub-image information is decomposed into the minimum picture unit, judging that the sub-image information in the split screen has no residual image when the comparison result of the sub-image information and the actual image information is the same.
In this example, the host performs recursive decomposition on the sub-image information one by one according to a certain decomposition coefficient, performs image comparison once for each decomposition until the sub-image information is decomposed to a minimum picture unit, in this example, the minimum picture unit is 1 pixel unit, performs repeated recursive decomposition and compares the minimum picture unit with the image information, determines that the sub-image information in the sub-screen has no afterimage when the comparison result of the sub-image information and the actual image information is the same after the minimum picture unit, sends no afterimage information to the host, and sends the afterimage information to the host if the comparison result is different in the decomposition and comparison processes, and triggers an afterimage elimination command of the host.
S5: and in response to the fact that the sub-image information is different from the corresponding part of the actual image information, extracting the part, which is different from the sub-image information, in the actual image information, and covering the part with the corresponding sub-image information.
As shown in fig. 5, this step specifically includes,
s501: extracting sub-image information with a result different from the actual image information comparison result, and identifying the sub-image information as image information needing to be repaired;
s502: acquiring an identifier of the image information to be repaired;
s503: carrying out recursive decomposition on the identifier based on the sub-picture decomposed by the sub-picture information to generate a sub-identifier;
s504: and refreshing the actual image information to the image information to be repaired through the sub-identifier.
In the above steps, the host computer confirms the image information to be repaired, and extracts the corresponding identifier, if the identifier is in the sub-picture subjected to recursive decomposition, the sub-identifier is extracted, and the corresponding sub-image information identifier is brought out for recognition, and then the sub-identifier is used for refreshing the sub-screen of the image information to be repaired, thereby completing the residual image repairing process.
Example (c): when the split screen is 5 × 5=25, decomposing the whole picture into 25 pieces of sub-image information; then, comparing the picture with the picture cut by the camera in real time by using a picture similarity algorithm, and if complete matching is found, ignoring the picture; if a certain sub-image information identifier is found to be different (the identifier is used for uniquely identifying and numbering a split-screen device, for example, the identifier of the device 1 is the device unique physical address + the number 1, if the numbering continues to be split-screen, the identifier of the sub-screen is the device unique physical address + the number 01 (two digits) + the split-screen unique number (N digits), for example, the physical address +01+001+002+005 is numbered for 4 times of split-screen), recursive decomposition is performed on the identifier, and the decomposition coefficient is a.
Assume ID =3; a =10; that is, the 3 rd sub-picture information is decomposed into 4 × 4=16 sub-pictures, and the 3 rd sub-picture is decomposed into 16 sub-pictures, if some pictures in the 100 sub-pictures are found not to match, the identification of the sub-pictures is recorded, if 100 sub-pictures are found to match, the recursion is continued until the picture is decomposed into 1 pixel. In the process of recursive decomposition, if the comparison result of the arbitrarily appearing sub-pictures is different, namely, the host machine refreshes the image, and the ID picture with unmatched marks is refreshed and displayed in real time, because the afterimage left by the liquid crystal display is not permanent, the afterimage is caused because the window stays at a certain position for too long, the longer the display is opened, the longer the picture stays, and the higher the probability of the phenomenon is. Therefore, the problem of the residual image can be solved through a refreshing mechanism, namely the problem of the residual image can be solved in real time.
In summary, the method for identifying and repairing the residual image of the tiled screen provided by the embodiment can identify the split-screen image information of the tiled screen, and compare and identify the image information on the split-screen with the image information to be actually displayed, so that the residual image is eliminated for the sub-image information on the split-screen which is not in accordance with the actual display information, and the residual image of the tiled screen can be more accurately corresponding to the screen position where the residual image is to be eliminated when the residual image is eliminated.
It should be noted that the method of the embodiments of the present disclosure may be executed by a single device, such as a computer or a server. The method of the embodiment can also be applied to a distributed scene and completed by the mutual cooperation of a plurality of devices. In such a distributed scenario, one of the devices may only perform one or more steps of the method of the embodiments of the present disclosure, and the devices may interact with each other to complete the method.
It should be noted that the above describes some embodiments of the disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments described above and still achieve desirable results. Additionally, the processes depicted in the accompanying figures do not necessarily require the corresponding order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
Based on the same inventive concept, the application also provides an afterimage identification and repair system, which comprises an afterimage resisting unit, wherein the afterimage resisting unit can realize the method in any embodiment.
Further, the anti-afterimage unit has a manual anti-afterimage mode and an automatic anti-afterimage mode;
the automatic anti-afterimage mode is configured to:
presetting the operation cycle and the starting time of the anti-afterimage unit;
the method comprises the steps that a system triggers a first automatic anti-afterimage mode in a standby state, an anti-afterimage unit is started based on preset starting time, and the anti-afterimage unit carries out interface refreshing according to a preset running period;
and after the system is started, triggering a second automatic anti-afterimage mode, starting a timer, and periodically starting an anti-afterimage unit according to a preset value of the timer.
The implementation of the automatic anti-afterimage mode is as follows: after the user automatically and automatically resists the afterimage mode, the user can start the automatic afterimage resistance according to the preset running period and the timing starting time, and has two scenes,
after the system is just started, if the image sticking is automatically resisted, a timer is started, and when the timer is up, the image sticking is automatically started to refresh the picture; the preset time is set by the user.
Setting a time point every day, emptying a timer by the machine in a state that the machine is not turned off, setting a preset time timer according to a daily period set by a user, and starting an anti-afterimage interface when the timer is up; and refreshing the interface.
The manual anti-afterimage mode is configured to:
and triggering a manual mode, and starting an anti-afterimage function according to preset anti-afterimage running time and running period.
The implementation mode of the manual anti-afterimage mode is as follows: the user clicks manually, according to the preset running time, the period and the color, a color bar can be displayed in the screen, the interface is refreshed from left to right or from top to bottom, similarly to starting a screen saver interface, the digital signage displays a picture for a long time, and under the condition that the interface display is not changed, the afterimage is easy to appear, because the user can start the anti-afterimage color bar in a manual mode, the color bar can automatically disappear after running for a few minutes, and the original interface display effect is recovered.
Manual anti-afterimage processing: after clicking to start, automatically starting anti-afterimage processing, and processing according to the running time and the running mode set below;
automatic anti-afterimage processing: after the selection is started, the reserved time setting item is displayed below:
run time (time): setting the automatic operation time, 00-23, and default 00;
run time (time): setting the automatic running minutes, 00-59, and defaulting to 00;
run cycle: setting an automatic operation period: 1 hour, 2 hours, 5 hours, 10 hours; defaulting for 1 hour;
operating time: setting the time for starting the anti-afterimage for one time, namely 1 minute, 2 minutes, 5 minutes and 10 minutes; defaulting for 1 minute;
the operation mode comprises the following steps: moving color bars, defaulting videos and self-defining videos; the default item is a moving color bar;
the operation mode is as follows: three types of the color bars are provided, and one color bar is too monotonous, so that the interface can be enriched through pictures or videos, and the anti-afterimage user experience is improved.
When the mobile color bar is selected, the following display is carried out:
color of the color bar: red, green, blue, yellow, white, black, gray, default red;
moving direction: horizontal and vertical, and the default horizontal direction;
when the user-defined video is selected, user-defined video setting (horizontal screen) and user-defined video setting (vertical screen) are displayed below the user-defined video, and local video can be selected as running video;
after the video file is opened, the page refers to a file manager interface, and only the video file conforming to the format is displayed. And if the file conforming to the format does not exist, displaying the file as an empty interface. The remote controller selects the file according to the confirmation, after the file is selected, the right confirmation is clicked, and the modification is confirmed; and (6) selecting to cancel and closing the interface.
Pixel movement: on/off, default off, after on, start pixel move function.
The system can realize the afterimage identification and repair method in the embodiment, has two modes of manual operation and automatic operation, and improves the automatic allocation of the user to the method and the system.
As shown in fig. 6, the system of the present embodiment is applied in an electronic device, and the device may include: a processor 1010, a memory 1020, an input/output interface 1030, a communication interface 1040, and a bus 1050. Wherein the processor 1010, memory 1020, input/output interface 1030, and communication interface 1040 are communicatively coupled to each other within the device via bus 1050.
The processor 1010 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits, and is configured to execute related programs to implement the technical solutions provided in the embodiments of the present disclosure.
The Memory 1020 may be implemented in the form of a ROM (Read Only Memory), a RAM (Random Access Memory), a static Memory device, a dynamic Memory device, or the like. The memory 1020 may store an operating system and other application programs, and when the technical solution provided by the embodiments of the present specification is implemented by software or firmware, the relevant program codes are stored in the memory 1020 and called to be executed by the processor 1010.
The input/output interface 1030 is used for connecting an input/output module to input and output information. The i/o module may be configured as a component in a device (not shown) or may be external to the device to provide a corresponding function. The input devices may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output devices may include a display, a speaker, a vibrator, an indicator light, etc.
The communication interface 1040 is used for connecting a communication module (not shown in the drawings) to implement communication interaction between the present device and other devices. The communication module can realize communication in a wired mode (for example, USB, network cable, etc.), and can also realize communication in a wireless mode (for example, mobile network, WIFI, bluetooth, etc.).
Bus 1050 includes a path that transfers information between various components of the device, such as processor 1010, memory 1020, input/output interface 1030, and communication interface 1040.
It should be noted that although the above-mentioned device only shows the processor 1010, the memory 1020, the input/output interface 1030, the communication interface 1040 and the bus 1050, in a specific implementation, the device may also include other components necessary for normal operation. In addition, those skilled in the art will appreciate that the above-described apparatus may also include only those components necessary to implement the embodiments of the present description, and not necessarily all of the components shown in the figures.
The system of the above embodiment can be applied to any electronic device, and the instruction of the electronic device is used to enable the system in the electronic device to execute the afterimage identification and repair method according to any embodiment, and has the beneficial effects of the corresponding method embodiment, which are not described herein again.
Based on the same inventive concept, the present application further provides a display device, as shown in fig. 7, the display device including:
the acquisition module 1 is used for acquiring image information of a display picture of the splicing screen in real time;
the identification module 2 is used for identifying the sub-image information in each split screen in the image information;
the identification generation module 3 is used for generating a corresponding image identification corresponding to each sub-image information;
the image comparison module 4 is used for comparing the subimage information with preset actual image information;
and the image refreshing module 5 is used for extracting a part of the actual image information, which is different from the sub-image information, in response to the fact that the sub-image information is different from the part corresponding to the actual image information, and covering the part with the corresponding sub-image information.
For convenience of description, the above devices are described as being divided into various modules by functions, and are described separately. Of course, the functionality of the various modules may be implemented in the same one or more software and/or hardware implementations of the present disclosure.
The apparatus of the foregoing embodiment is used to implement the corresponding afterimage identification and repair method in any of the foregoing embodiments, and has the beneficial effects of the corresponding method embodiment, which are not described herein again.
Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, is limited to these examples; within the idea of the present disclosure, also technical features in the above embodiments or in different embodiments may be combined, steps may be implemented in any order, and there are many other variations of the different aspects of the embodiments of the present disclosure as described above, which are not provided in detail for the sake of brevity.
In addition, well-known power/ground connections to integrated circuit chips and other components may or may not be shown in the provided figures for simplicity of illustration and discussion, and so as not to obscure the embodiments of the disclosure. Furthermore, devices may be shown in block diagram form in order to avoid obscuring embodiments of the present disclosure, and this also takes into account the fact that specifics with respect to implementation of such block diagram devices are highly dependent upon the platform within which the embodiments of the present disclosure are to be implemented (i.e., specifics should be well within purview of one skilled in the art). Where specific details are set forth in order to describe example embodiments of the disclosure, it will be apparent to one skilled in the art that the embodiments of the disclosure can be practiced without, or with variation of, these specific details. Accordingly, the description is to be regarded as illustrative instead of restrictive.
While the present disclosure has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of these embodiments will be apparent to those of ordinary skill in the art in light of the foregoing description. For example, other memory architectures, such as Dynamic RAM (DRAM), may use the discussed embodiments.
The disclosed embodiments are intended to embrace all such alternatives, modifications and variances which fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalents, improvements, and the like that may be made within the spirit and principles of the embodiments of the disclosure are intended to be included within the scope of the disclosure.

Claims (13)

1. A method for identifying and repairing residual images of a spliced screen is characterized by comprising the following steps:
acquiring image information of a display picture of a splicing screen in real time;
identifying sub-image information in each split screen of the spliced screen in the image information;
correspondingly comparing the subimage information with preset actual image information;
and in response to recognizing that the sub-image information is different from the corresponding part of the actual image information, extracting the part, which is different from the sub-image information, in the actual image information, and covering the part with the corresponding sub-image information.
2. The method for identifying and repairing the residual image of the spliced screen according to claim 1, wherein the step of acquiring the image information of the display picture of the spliced screen in real time further comprises the steps of:
the splicing screen receives and displays actual image information preset by the host;
acquiring each frame of image information displayed by the spliced screen in real time through a camera device; wherein the image information is generated based on the actual image information.
3. The method for identifying and repairing the residual image of the spliced screen as claimed in claim 1, wherein the identifying the sub-image information in each split screen in the image information further comprises:
acquiring a split screen splicing mode of a spliced screen;
based on the split screen splicing mode, cutting image information of the display picture of the spliced screen;
and generating sub-image information by corresponding the clipped image information to each split screen.
4. The method for identifying and repairing the residual image of the spliced screen according to claim 1, wherein the comparing the sub-image information with the actual image information further comprises:
acquiring actual image information preset by a host;
acquiring sub-image information displayed in each split screen;
comparing the information of each sub-image with the actual image information of the corresponding position;
generating a primary comparison result;
wherein the comparison results are the same or different.
5. The method for identifying and repairing the residual image of the spliced screen according to claim 4, wherein the comparing the sub-image information with the actual image information further comprises:
when the primary comparison results are the same, decomposing the sub-image information into a certain number of sub-pictures;
secondarily comparing each sub-picture with the actual image information of the corresponding position;
and generating a secondary comparison result.
6. The method for identifying and repairing the residual image of the spliced screen according to claim 5, wherein the comparing the sub-image information with the actual image information further comprises:
when the secondary comparison results are the same, repeatedly decomposing the sub-picture, and comparing the decomposed sub-picture with the actual image information of the corresponding position until the sub-picture is decomposed into a minimum picture unit;
and after the sub-image information is decomposed into the minimum picture unit, judging that the sub-image information in the split screen has no residual image when the comparison result of the sub-image information and the actual image information is the same.
7. The method for identifying and repairing the residual image of the spliced screen as claimed in claim 1, wherein in response to identifying that the sub-image information is different from the corresponding part of the actual image information, a part of the actual image information different from the sub-image information is extracted and covered with the corresponding sub-image information, and the method further comprises:
and generating a corresponding image identifier corresponding to each sub-image information.
8. The method for identifying and repairing the residual image of the spliced screen according to claim 7, wherein the generating of the corresponding image identifier corresponding to each sub-image information further comprises:
acquiring a split screen mode of the spliced screen;
generating image identification for the sub-image information of the split screen according to the split screen mode;
and the image identification and the split screens sequentially correspond to each other.
9. The residual image identification and restoration method for the spliced screen according to claim 8, wherein image identification is generated according to the sub-image information of the split screen in the split screen mode; further still include:
carrying out recursive decomposition on the identifier based on the sub-picture decomposed by the sub-picture information to generate a sub-identifier;
and covering the actual image information with image information different from the corresponding part of the actual image information through the sub-identifier.
10. An afterimage identification and repair system is characterized in that: comprising an anti-afterimage unit capable of implementing the method of any of the preceding claims 1-9.
11. The afterimage recognition and repair system according to claim 10, wherein said anti-afterimage unit has a manual anti-afterimage mode and an automatic anti-afterimage mode;
the automatic anti-afterimage mode is configured to:
presetting the operation cycle and the starting time of the anti-afterimage unit;
the method comprises the steps that a system triggers a first automatic anti-afterimage mode in a standby state, an anti-afterimage unit is started based on preset starting time, and the anti-afterimage unit carries out interface refreshing according to a preset running period;
and after the system is started, triggering a second automatic anti-afterimage mode, starting a timer, and periodically starting an anti-afterimage unit according to a preset value of the timer.
12. The image sticking identification and repair system of claim 11, wherein the manual anti-image sticking mode is configured to:
and triggering a manual mode, and starting an anti-afterimage function according to preset anti-afterimage running time and running period.
13. A display device, comprising:
the acquisition module is used for acquiring image information of a display picture of the splicing screen in real time;
the identification module is used for identifying the sub-image information in each split screen in the image information;
the identification generation module is used for generating a corresponding image identification corresponding to each sub-image information;
the image comparison module is used for comparing the subimage information with preset actual image information;
and the image refreshing module is used for extracting the part, which is different from the sub-image information, in the actual image information in response to the fact that the corresponding part of the sub-image information is different from the actual image information, and covering the corresponding sub-image information with the part.
CN202211321094.3A 2022-10-26 2022-10-26 Residual image identification and restoration method and system of spliced screen and display device Pending CN115661490A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117173161A (en) * 2023-10-30 2023-12-05 杭州海康威视数字技术股份有限公司 Content security detection method, device, equipment and system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117173161A (en) * 2023-10-30 2023-12-05 杭州海康威视数字技术股份有限公司 Content security detection method, device, equipment and system
CN117173161B (en) * 2023-10-30 2024-02-23 杭州海康威视数字技术股份有限公司 Content security detection method, device, equipment and system

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