CN113096592B - Method and device for eliminating ghost shadow of display screen and display device - Google Patents
Method and device for eliminating ghost shadow of display screen and display device Download PDFInfo
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- CN113096592B CN113096592B CN201911339668.8A CN201911339668A CN113096592B CN 113096592 B CN113096592 B CN 113096592B CN 201911339668 A CN201911339668 A CN 201911339668A CN 113096592 B CN113096592 B CN 113096592B
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
- G09G3/20—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters
- G09G3/22—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters using controlled light sources
- G09G3/30—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters using controlled light sources using electroluminescent panels
- G09G3/32—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters using controlled light sources using electroluminescent panels semiconductive, e.g. using light-emitting diodes [LED]
- G09G3/3208—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters using controlled light sources using electroluminescent panels semiconductive, e.g. using light-emitting diodes [LED] organic, e.g. using organic light-emitting diodes [OLED]
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G2320/00—Control of display operating conditions
- G09G2320/02—Improving the quality of display appearance
- G09G2320/0257—Reduction of after-image effects
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G2330/00—Aspects of power supply; Aspects of display protection and defect management
- G09G2330/02—Details of power systems and of start or stop of display operation
- G09G2330/021—Power management, e.g. power saving
Abstract
The application discloses a method, equipment and display equipment for eliminating ghost shadows of a display screen, wherein the method comprises the steps of judging whether a current display interface meets a preset replacement condition or not; if the current display interface meets the preset replacement condition, replacing the current display interface by using a replacement interface in a preset database so as to reduce the brightness value of partial pixels of the display interface; the preset database comprises a display interface and a corresponding replacement interface, and the similarity between the replacement interface and the display interface is within a preset similarity range. Through the mode, the display screen ghost shadow can be effectively avoided, and the service life of the display device is prolonged.
Description
Technical Field
The application relates to the technical field of display, in particular to a method and equipment for eliminating ghost shadows of a display screen and display equipment.
Background
With the progress of technology, smart phone screens are continuously developing towards more colorful, higher frame rate, thinner, flexible screens, more power saving, higher environmental adaptability and the like; compared with a conventional Liquid Crystal Display (LCD), a self-luminous Display screen, such as an Organic Light-Emitting Diode (OLED), has various advantages: the color gamut is very wide, and some colors which cannot be accurately restored on the LCD can be expressed on the OLED; the response speed is very high, and the response time is only one percent of that of an LCD; the ultrathin body is extremely light and thin, and can be twisted and folded, and a touch layer can be integrated in the display screen, so that the ultrathin body is more advantageous to manufacture; the OLED is self-luminous, when black is displayed, the LED corresponding to the pixel does not work, when a dark color image is displayed, most of the LEDs are in a low-brightness state, and therefore power consumption is lower; the working temperature of the LCD is-20 ℃ to 70 ℃, while the working temperature of the OLED can reach-40 ℃ to 70 ℃, and the environmental adaptability is stronger. Therefore, the OLED almost becomes the standard of mainstream mobile phones or televisions, and is also the trend of future display technology development, and more intelligent devices may use self-luminous screens in the future; however, OLEDs have their inherent disadvantages: easy screen burning (pixel afterimage) and short service life.
The inventor of the present application finds, in long-term research and development, that in order to solve the problem of pixel ghosting of the self-luminous screen in the prior art, a processing mode is adopted at the end of the display system, that is, image data to be displayed which is processed by the display system is processed; the method can also be used for periodically detecting the display image frame, judging whether the display image frame is a static image or not, then temporarily changing the image to be displayed by utilizing the visual residual characteristic of human eyes, but periodically detecting the image to be displayed on the display screen, needing to periodically execute an image Processing algorithm, processing the image to be displayed, having high real-time requirement and high requirement on a Central Processing Unit (CPU); whether the image is a still image can be judged by judging whether the image is changed or not according to the image contour, the brightness average value and the contrast difference, but whether the image is a still image is judged simply according to whether the image contour, the brightness average value and the contrast difference are changed or not, so that the judgment is not accurate enough; common image processing methods include whole image displacement, brightness reduction of all pixels in the whole image or complete black frame insertion, partial image area displacement or brightness reduction of all pixels in partial image or black pixel insertion, but the whole or partial pixel displacement and brightness reduction can obviously deteriorate the display effect under some special display situations.
Disclosure of Invention
The method, the device and the display device for eliminating the display screen ghost shadow can effectively avoid the display screen ghost shadow and prolong the service life of the display device.
In order to solve the technical problem, the technical scheme adopted by the application is to provide a method for eliminating the ghost shadow of the display screen, and the method comprises the steps of judging whether a current display interface meets a preset replacement condition; if the current display interface meets the preset replacement condition, replacing the current display interface by using a replacement interface in a preset database so as to reduce the brightness value of partial pixels of the display interface; the preset database comprises a display interface and a corresponding replacement interface, and the similarity between the replacement interface and the display interface is within a preset similarity range.
In order to solve the above technical problem, another technical solution adopted by the present application is to provide an apparatus for removing a display screen afterimage, where the apparatus for removing a display screen afterimage includes a memory and a processor connected to each other, where the memory is used for storing a computer program, and the computer program is used for implementing the method for removing a display screen afterimage when being executed by the processor.
In order to solve the above technical problem, another technical solution adopted in the present application is to provide a display device, where the display device includes a display panel and a device for eliminating a display screen residual image, the display panel is used to display an image to be displayed, and the device for eliminating a display screen residual image is used to adjust a brightness value of the image to be displayed, so as to eliminate the display screen residual image.
Through above-mentioned scheme, this application's beneficial effect is: when the current display interface meets the preset replacement condition, the current display interface is replaced by the replacement interface with higher similarity with the current display interface in the preset database so as to reduce the brightness values of a small number of pixels in the display interface, effectively avoid the display panel from generating ghost shadows in a mode of very low CPU consumption on the premise of not reducing the display effect, ensure that the light-emitting units of the display panel are intermittently in a low-brightness working state, and ensure that the aging degree of each light-emitting unit is kept balanced, thereby reducing the risk of screen burning of the display panel and prolonging the service life of the display panel.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts. Wherein:
FIG. 1 is a schematic flowchart illustrating an embodiment of a method for eliminating a residual image on a display screen according to the present disclosure;
FIG. 2 is a schematic flowchart illustrating a method for eliminating a residual image on a display screen according to another embodiment of the present disclosure;
FIG. 3 is a schematic structural diagram of a display interface in another embodiment of the method for eliminating a residual image on a display screen according to the present application;
FIG. 4 is a schematic structural diagram of an embodiment of an apparatus for removing a residual image on a display screen according to the present disclosure;
fig. 5 is a schematic structural diagram of an embodiment of a display device provided in the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, fig. 1 is a schematic flowchart illustrating an embodiment of a method for removing a residual image of a display screen, the method including:
step 11: and judging whether the current display interface meets the preset replacement condition.
The preset replacement condition comprises that the using times of the display interface in a first preset time are larger than the preset using times or the composed image of the display interface is an image of a damaged screen; the display interface comprises at least one component image, and the component image can be a software icon, a background, an icon of a fixed display bar or an icon of a touch key and the like.
Step 12: and if the current display interface meets the preset replacement condition, replacing the current display interface by using a replacement interface in a preset database so as to reduce the brightness value of partial pixels of the display interface.
The preset database comprises a display interface and a corresponding replacement interface, and the similarity between the replacement interface and the display interface is within a preset similarity range; wherein, the Similarity can be measured by Structural Similarity (SSIM), cosine Similarity, histogram-based method or mutual information-based method; if the current display interface meets the preset replacement condition, the brightness values of at least part of pixels in the current display interface are relatively high, and in order to enable the light-emitting units corresponding to the pixels not to be in a high-brightness state for a long time, replacement images with relatively high similarity to the current display interface in a preset database can be used for replacing the current display interface; under the condition that human eyes cannot feel that the image changes, the brightness of a small part of light-emitting units corresponding to the display interface is reduced actually, so that the purpose of prolonging the service life of the light-emitting units of the display panel is achieved.
The reason why the display panel leaves the afterimage is that the screen displays a static picture for a long time, so that the aging degrees of the light-emitting units corresponding to each pixel are different, and the afterimage is more likely to be left in the area with higher brightness and contrast, so that the method in the example can be adopted to avoid the long-time highlight display of the light-emitting units, and simultaneously, the aging degrees of all the light-emitting units are kept in a balanced state, thereby avoiding the generation of the afterimage.
The embodiment provides a method for eliminating ghost shadows of a display screen, wherein when a current display interface meets a preset replacement condition, the current display interface is replaced by a replacement interface with higher similarity to the current display interface in a preset database so as to reduce the brightness values of a small number of pixels in the display interface, on the premise of not reducing the display effect, the display panel is effectively prevented from generating ghost shadows in a mode of very low CPU consumption, the light-emitting units of the display panel are ensured to be intermittently in a low-brightness working state, and the aging degrees of the light-emitting units are ensured to be balanced, so that the risk of screen burning of the display panel is reduced, and the service life of the display panel is prolonged.
Referring to fig. 2, fig. 2 is a schematic flowchart illustrating another embodiment of the method for eliminating the display screen image sticking provided by the present application, where the method includes:
step 201: and counting the use times of the display interface corresponding to each application software and the use time of each display interface, and marking the display interfaces exceeding the preset use condition as heavy-use interfaces.
The preset use condition can be that the use times exceed the preset use times or the use time exceeds the preset use time; for example, after the terminal device leaves the factory, when the user uses the terminal device for a period of time (e.g., 1 month), it is counted which mobile phone software (APP) the user used, which interfaces are displayed, and the use time of each interface, to obtain the accumulated use time ratio and the ranking of the used APP and the interfaces, and the interface with the accumulated use time ratio reaching a certain threshold and the ranking being ahead is determined as the heavy use interface, for example, the interface with the accumulated use time ratio being greater than 5% and the ranking being the top 10 is determined as the heavy use interface.
Step 202: and analyzing the interface structure and the composition image of each heavily used interface, and acquiring the image data of each composition image.
The analysis can be performed by a method commonly used in the art, and the analysis method is not limited herein.
Step 203: and detecting whether the image data is changed within a second preset time.
The image data is color values and transparency, such as red, green, blue, transparency (RGBA), that make up the image; the average service time of the heavily used interfaces can be calculated to predict the possibility of long-term invariance of the heavily used interfaces, interface structure and image composition analysis (such as controls, icons or background images) is carried out on each heavily used interface, and image data of the image composition is obtained; then, whether the image data has the characteristic of long-term invariance is detected.
In addition, the use conditions of the application software and the display interface can be continuously counted to update the preset database, the display interface which is predicted to possibly have long-term invariable characteristics in the early stage is further detected, when the display interface appears, image data of controls or icons and the like participating in the synthesis of the display interface are compared, and if the display interface is not updated for a long time or the display interface is updated but is synthesized by the same controls for a long time, the display interface is marked to be invariable for a long time.
Step 204: and if the image data is not changed within the second preset time, when the current computing capacity is greater than a preset computing capacity threshold value, performing screen damage possibility evaluation on the component images of which the image data is not changed, and marking the component images exceeding the preset damage condition as images of damaged screens.
The preset computing power threshold may be a preset computing power value, if the computing power of the current CPU or Graphics Processing Unit (GPU) is greater than the preset computing power threshold, the screen damage possibility evaluation may be performed, and if the computing power of the current CPU or GPU is less than or equal to the preset computing power threshold, it indicates that the computing load of the current CPU or GPU is large, and the screen damage possibility evaluation cannot be performed; the evaluation can be carried out under the condition that the CPU or the graphic processor of the terminal equipment has surplus computing power, the requirement on the computing power of the CPU or the GPU is reduced, and the system is prevented from being jammed.
The preset damage condition can be that the brightness of the composed image is larger than a preset brightness value, the contrast of the composed image is larger than a preset contrast or the high-brightness area is concentrated; the evaluation of the possibility of the screen damage comprises evaluating the content change rule, the distribution of highlight areas, the brightness or the contrast of the formed images, wherein the content change rule is to judge whether the display equipment is currently displaying the changed images, such as videos, when the display equipment is playing the videos, the player displays one frame of images, the areas around the player are static images, and whether the current display interface is an interface containing the videos can be judged by counting the content change rule.
The highlight region is a region with the pixel value of the image being larger than the preset pixel value, and the reason for taking the distribution of the highlight region into the evaluation factor is to judge whether the highlight region with a larger area exists in the current display interface; for example, if an image is formed by alternately arranging a white line and a black line, the contrast and average brightness are higher, the processing is difficult to process, and the image rarely appears in practical application, so that the situation can be filtered by utilizing highlight region distribution, and the filtering effect is small; of course, the highlight region may not be included in the evaluation factor in order to be able to process all the images.
In a specific embodiment, the mobile device may be awakened at night, and if the current power of the mobile device is above a preset ratio (e.g., 80%) or during charging, the screen damage possibility assessment of the long-term unchanged component image is started, and the assessment result is updated to the preset database.
Step 205: and processing the image of the damaged screen by adopting a preset algorithm to generate at least one replacing image.
And the similarity between the replacement image and the image of the damaged screen is within a preset similarity range, and the replacement image and other images in the display interface can be synthesized to form a new display interface.
In a specific embodiment, the training library may be trained by using a neural network algorithm to obtain the neural network model, wherein the training library includes an icon, a dialog box or a background corresponding to each application software.
Further, firstly, counting icons, dialog boxes or backgrounds corresponding to application software used by a user, and taking the counted icons, dialog boxes or backgrounds as test images and training images to form a test library and a training library; and then analyzing the brightness, the contrast, the image quality and the semantic features of all sample images in the training library, and modifying the sample images by combining a preset target to generate at least one alternative image.
The preset target comprises that the semanteme of the image is unchanged, the change of the image quality is within a preset quality range, the brightness or contrast of a preset number of pixels in a highlight area is reduced by a preset proportion or modified pixels are uniformly distributed in the replacement image; the image quality can be measured by Peak Signal to Noise Ratio (PSNR), mean Square Error (MSE), visual Information Fidelity (VIF), SSIM, or the like.
Testing the neural network model obtained by training by adopting the test image in the test library, and judging whether the similarity between the replacement image of the test image and the test image is within a preset similarity range or not; and if the similarity between the replacement image and the test image is within the preset range, stopping training, and if the similarity between the replacement image and the test image is not within the preset range, adding a new sample image into the training library, and continuing training until a neural network model meeting the similarity requirement, namely an ideal neural network model is obtained, wherein the ideal neural network model is a replacement image which can basically obtain the similarity between the replacement image and the test image within the preset range for each test image, and the higher the accuracy is, the better the accuracy is.
After the neural network model is trained, the image of the lesion screen may be input into the neural network model to obtain at least one replacement image.
In a specific embodiment, a neural network can be trained on a computer to obtain a neural network model, and then the neural network model is deployed in a terminal device, wherein the neural network model has image analysis and modification functions, when an image is input into the neural network model, the neural network model analyzes the brightness, the contrast, the image quality or semantic features of the image, modifies the image by combining a preset target, and reversely generates a plurality of replacement images, the preset target can be an image with unchanged semantic, an image with unchanged quality cannot be sensed by human eyes, the brightness and the contrast of pixels in a highlight area are obviously reduced by 20%, and the modified pixels are uniformly distributed in the plurality of replacement images.
For example, based on a Deep Convolutional Inverse Graphics Network (DCIGN), features such as image quality, brightness, contrast and the like of an input image are analyzed at a Convolutional layer by using a transfer learning method, and constraint conditions such as 5 pieces of image with unchanged semantics, no image quality change felt by human eyes, 20% of pixel brightness and significantly reduced contrast in a highlight area, and uniform distribution of modified pixels in the 5 pieces of images are generated on an Inverse generation layer; icons, dialog boxes and various background images of various application software in a display system are collected to form a training library and a test library, the training library and the test library are rich, pictures with various resolutions and various resolutions can be collected, and then a semi-supervised learning method is adopted to obtain a neural network model meeting requirements through training.
Step 206: and storing each application software, the display interface corresponding to the application software, the image of the damaged screen and the replacement image, and establishing a preset database.
In a specific embodiment, under the condition that a CPU or a Graphics Processing Unit (GPU) of the terminal device has surplus computing power, performing screen damage possibility evaluation on a long-term unchanged constituent image, modifying a constituent image with high screen damage possibility by using a neural network model, generating a plurality of replacement images, and storing the replacement images in the terminal device; and inquiring whether a record which does not generate the replacement image exists in a preset database, if so, modifying the composition images one by using a neural network model to generate the replacement image, and maintaining the preset database containing the relationships of the APP, the display interface, the image of the damaged screen, the generated replacement image and the like.
Step 207: and after receiving an interface replacement instruction, counting the use time and the use times of the replaced display interface.
The user can cause interface conversion when operating the mobile device, when the mobile device receives an interface conversion instruction, on one hand, the use condition of the display interface can be continuously counted, on the other hand, the display system is prepared with interface synthesis data, and partial composition images of the display interface are replaced in a link before starting interface synthesis.
Step 208: and inquiring whether the replaced display interface is a heavy use interface or not and whether the image formed by the replaced display interface is an image of a damaged screen or not from a preset database.
Step 209: and if the replaced display interface is a heavy use interface and the composed image is an image of a damaged screen, acquiring a corresponding replacement image from a preset database according to a preset rule, and synthesizing the replacement image and the replaced display interface to obtain a new display interface.
The preset rule can be that one of the at least one alternative image is selected randomly, selected according to parity or other reasonable selection rules; the preset database can be inquired according to the name of the display interface, and whether the display interface belongs to a heavy use interface or not and whether the image of the damaged screen is contained in the image formed by the display interface or not is judged; if the image belongs to the heavy use interface and the component image of the heavy use interface contains the image of the damaged screen, whether a replacement image is generated or not is inquired in a preset database, if the replacement image is generated, one replacement image is selected according to a certain rule to replace the original component image, then a synthesis interface is carried out, and finally the replacement image is displayed on the screen of the display equipment.
For example, the display interface includes a background frame, 6 icons and 3 segments of characters, and if it is detected that the possibility that the screen is damaged by the cancelled icon a is relatively high, a replacement image corresponding to the cancelled icon a in the preset database can be selected to replace the cancelled icon a, and other parts are unchanged, so that the replacement image and the other parts are combined into a new display interface.
Step 210: and judging whether the image data corresponding to the new display interface is changed within the third preset time.
Step 211: and if the image data corresponding to the new display interface is not changed, selecting another replacement image for replacement according to a circular selection principle, and performing interface synthesis again.
And starting timing, when the image data of the image corresponding to the new display interface is not changed after the third preset time, selecting another replaced image of the image in the preset database according to a circular selection principle to replace, automatically triggering interface synthesis once, and then displaying the image on a screen.
When a user normally uses the display equipment and performs interface conversion every time, a preset database can be inquired according to the name of the display interface, and whether the display interface to be drawn belongs to a heavy use interface or not is judged; if the interface does not belong to the interface used heavily, the interface is synthesized and displayed according to the original flow; if the display interface belongs to the heavy use interface, judging whether the display interface is analyzed, if not, starting analysis, and generating a replacement image by using a neural network model; if the image is analyzed, whether the component image of the display interface is always unchanged or not is judged according to the existing experience, and if the component image of the display interface is possibly changed, the component image of the display interface is analyzed again to judge whether the component image of the display interface contains the image of the damaged screen or not.
The embodiment provides a method for eliminating ghost shadows of a display screen, which comprises the steps of modifying an image input to a display system of display equipment, and generating a plurality of replacement images which accord with a screen wear balance rule based on a neural network algorithm so as to replace the image before interface synthesis of the display system; for the original long-term unchangeable display interface, in this embodiment, image data changes once at intervals, and the light-emitting units corresponding to some pixels in the image can rest for a period of time at intervals of low brightness, so that aging is prevented from being too fast, aging balance can be maintained, the generation of screen ghost is effectively avoided, the service life of a screen is prolonged, and the product competitiveness is improved.
Referring to fig. 4, fig. 4 is a schematic structural diagram of an embodiment of the apparatus for removing a display screen residual image provided in the present application, where the apparatus for removing a display screen residual image 40 includes a memory 41 and a processor 42 that are connected to each other, the memory 41 is used for storing a computer program, and the computer program is used for implementing the method for removing a display screen residual image in the foregoing embodiment when being executed by the processor 42.
The brightness values of partial pixels in the display interface are adjusted to be low, so that the light-emitting units in the display panel can work in a low-brightness state at intervals, accelerated aging of the display panel in a high-brightness state after long-time work is avoided, and the generation of residual shadows of the display screen is effectively avoided.
Referring to fig. 5, fig. 5 is a schematic structural diagram of an embodiment of a display device provided in the present application, where the display device 50 includes a display panel 51 and a device 52 for eliminating display screen afterimage, which are connected to each other, where the display panel 51 is used for displaying an image to be displayed, and the device 52 for eliminating display screen afterimage is used for adjusting a brightness value of the image to be displayed to eliminate display screen afterimage.
For the area of the display panel 51 originally displaying the static content for a long time, the image content changes once at intervals, and a part of the light emitting units (not shown in the figure) in the display panel 51 can operate in a low brightness mode at intervals, so as to avoid the over-rapid aging and unbalanced aging of the light emitting units in the display panel 51, thereby effectively avoiding the generation of the screen residual image and prolonging the service life of the display panel 51.
In the several embodiments provided in the present application, it should be understood that the disclosed method and apparatus may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a module or a unit is only one type of logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of an application software functional unit.
The above embodiments are merely examples, and not intended to limit the scope of the present application, and all modifications, equivalents, and flow charts using the contents of the specification and drawings of the present application, or those directly or indirectly applied to other related arts, are included in the scope of the present application.
Claims (9)
1. A method for eliminating ghost shadow of a display screen is characterized by comprising the following steps:
judging whether the current display interface meets preset replacement conditions or not;
if so, replacing the current display interface by using a replacement interface in a preset database so as to reduce the brightness value of partial pixels of the display interface;
the preset database comprises the display interface and a corresponding replacement interface, and the similarity between the replacement interface and the display interface is within a preset similarity range;
before the step of replacing the current display interface with the replacement interface in the preset database to reduce the brightness value of the pixels of the display interface, the method includes:
processing the image of the damaged screen by adopting a preset algorithm to generate at least one replacement image, and synthesizing the replacement image and the image in the display interface to form a replacement interface, wherein the similarity between the replacement image and the image of the damaged screen is within the preset similarity range;
storing each application software, the display interface corresponding to the application software, the image of the damaged screen and the replacement image, and establishing the preset database;
the processing the image of the damaged screen by adopting the preset algorithm to generate at least one replacement image comprises the following steps:
and analyzing the brightness, the contrast, the image quality and the semantic features of the image of the damaged screen by adopting the neural network model obtained by training, and modifying the image of the damaged screen by combining a preset target to generate at least one replacement image.
2. The method for eliminating the afterimage of the display screen according to claim 1,
the preset replacement condition comprises that the using times of the display interface are larger than the preset using times or the composed images of the display interface are images of a damaged screen in first preset time, wherein the display interface comprises at least one composed image.
3. The method for eliminating the afterimage of the display screen according to claim 1, wherein before the step of determining whether the current display interface satisfies the preset replacement condition, the method comprises:
counting the use times of the display interface corresponding to each application software and the use time of each display interface, and marking the display interface exceeding a preset use condition as a heavy use interface;
analyzing an interface structure and a composition image of each heavily used interface, and acquiring image data of each composition image;
detecting whether the image data is changed within a second preset time;
if not, when the current computing power is larger than a preset computing power threshold value, carrying out screen damage possibility evaluation on the composition image of which the image data is not changed, and marking the composition image exceeding a preset damage condition as an image of a damaged screen;
wherein the image data is a color value and a transparency of the constituent image.
4. The method for eliminating the afterimage of the display screen according to claim 3,
the screen damage possibility evaluation comprises the evaluation of content change rules, highlight area distribution, brightness or contrast of the composition images, wherein the highlight area is an area where the pixel values of the composition images are larger than preset pixel values.
5. The method for eliminating the afterimage of the display screen according to claim 3, wherein the step of processing the image of the damaged screen by using a preset algorithm to generate at least one replacement image comprises:
training a training library by using a neural network algorithm to obtain a neural network model, wherein the training library comprises an icon, a dialog box or a background corresponding to each application software;
and inputting the image of the damage screen into the neural network model to obtain at least one replacement image.
6. The method for eliminating the afterimage of the display screen according to claim 5, wherein the step of training the training library by using the neural network algorithm to obtain the neural network model comprises:
analyzing the brightness, contrast, image quality and semantic features of all sample images in the training library, and modifying the sample images by combining a preset target to generate at least one replacement image;
testing the neural network model obtained by training by adopting a test image in a test library, and judging whether the similarity between a replacement image of the test image and the test image is within the preset similarity range;
if so, stopping training, otherwise, adding a new sample image into the training library, and continuing training until the neural network model meeting the similarity requirement is obtained;
wherein the preset target comprises that the semantics of the image is unchanged, the change of the image quality is within a preset quality range, the brightness or contrast of a preset number of pixels in a highlight area is reduced by a preset proportion, or the modified pixels are uniformly distributed in the replacement image.
7. The method for eliminating the afterimage of the display screen according to claim 3, wherein said method further comprises:
after receiving an interface replacement instruction, counting the service time and the times of the replaced display interface;
inquiring whether the replaced display interface is the heavy use interface or not and whether a formed image thereof is the image of the damaged screen or not from the preset database;
if so, acquiring the corresponding replacement image from the preset database according to a preset rule, and synthesizing the replacement image and the replaced display interface to obtain a new display interface;
and judging whether the image data corresponding to the new display interface is changed within a third preset time, if not, selecting another replaced image for replacement according to a cyclic selection principle, and performing interface synthesis again.
8. An apparatus for removing display screen ghosting, comprising a memory and a processor which are connected to each other, wherein the memory is used for storing a computer program, and the computer program is used for implementing the method for removing display screen ghosting of any claim 1 to 7 when being executed by the processor.
9. A display device, comprising a display panel and the device for eliminating display screen afterimage according to claim 8, wherein the display panel is used for displaying an image to be displayed, and the device for eliminating display screen afterimage is used for adjusting the brightness value of the image to be displayed to eliminate the display screen afterimage.
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