CN111105764A - Display driving method and system for relieving display ghost - Google Patents
Display driving method and system for relieving display ghost Download PDFInfo
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- 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
- G09G3/34—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 by control of light from an independent source
- G09G3/36—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 by control of light from an independent source using liquid crystals
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- 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
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- 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]
- G09G3/3225—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] using an active matrix
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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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Abstract
The invention discloses a display driving method for relieving ghost shadow of a display, which is used for carrying out boundary acquisition and feature sampling on input display data, regularly storing and updating a plurality of groups of boundary feature information, comparing a detection result of the boundary information of the display data with the stored data, judging as a circulating picture when the plurality of groups of boundary feature information repeatedly appear, judging as a static picture when only a single group of boundary feature information repeatedly appears, and starting a ghost shadow compensation algorithm when the picture is judged to be static or circulating; if the image is judged not to be a circulating image or a static image, the image is judged to be a dynamic image, a compensation algorithm is not started, and the purposes of optimizing the compensation effect of the ghost problem and prolonging the service life of the display are achieved through the driving method.
Description
Technical Field
The present invention relates to a display driving method, and more particularly, to a display driving method and system for alleviating image sticking of a display.
Background
In the conventional Liquid Crystal Display (LCD) Display, Active Matrix Organic Light Emitting Diode (AMOLED) Display, and the like, the image sticking problem has a large influence on the Display quality in the daily application process, and becomes a key factor that restricts the service life of the Display. In order to slow down the influence of the ghost problem on the display effect of the display and prolong the service life of the display, various ghost compensation algorithms of the display are developed in the industry.
The conventional ghost problem relieving scheme is mainly based on picture characteristic judgment and boundary detection, and the common method comprises the following steps: firstly, judging the picture characteristics based on the detection and comparison of the boundary characteristics of an input picture, and if the picture is judged to be a dynamic picture, not processing the picture; if the image is judged to be a static image, a residual image problem relieving scheme is applied to the image, such as driving methods of moving the whole image, moving image boundaries, adjusting brightness and the like.
However, the conventional picture determination method can only distinguish a dynamic picture from a static picture, but for a display scene in which the same group of contents are played repeatedly, the dynamic picture is determined, but under the condition of circular display, the display content boundary appears repeatedly, so that a serious image sticking problem is still caused, but the conventional algorithm cannot start the image sticking problem relieving process.
Therefore, it is necessary to provide a display driving method and a system thereof for alleviating the afterimage of the display to solve the problems of the prior art.
Disclosure of Invention
The invention provides a display driving method and a display driving system for relieving display ghost shadow, which aim to solve the problems that in the prior art, only dynamic pictures and static pictures can be distinguished, but display scenes for repeatedly playing the same group of contents can be judged as dynamic pictures, but under the condition of circular display, display content boundaries can repeatedly appear, and serious ghost shadow can still be caused.
The main objective of the present invention is to provide a display driving method for alleviating the afterimage of a display, comprising:
acquiring image boundary information, and carrying out boundary detection on input display data to acquire the boundary information, wherein the display data comprises a plurality of frames of different pictures;
partitioning, collecting and combining the boundary characteristic information, partitioning each frame of picture to form a plurality of area units, and sampling the area units of the different frames of pictures to obtain the boundary characteristic information of each area unit;
storing the boundary characteristic information, and storing the boundary characteristic sampling result of the multi-frame pictures within a time interval to form preset storage information;
comparing the boundary characteristic information and judging, comparing and judging the boundary characteristic sampling results of the different frames of pictures with the preset stored information, respectively counting the number of times of repetition to judge the pictures and generating a judgment result; and
and (4) compensation of the ghost problem, starting a ghost compensation algorithm when the judgment result is a circulating picture and a static picture, not starting the compensation algorithm when the judgment result is a dynamic picture, and then outputting the compensated or uncompensated display data.
In an embodiment of the present invention, the partitioning, collecting and the boundary feature information partition each frame of picture to form a plurality of area units according to the boundary information, and respectively sample the plurality of area units of the plurality of frames of different pictures at specific time intervals to obtain the boundary feature information in each area unit, where each frame of picture includes a set of boundary feature information, the set of boundary feature information constitutes a boundary feature sampling result of the frame of picture, and finally store the boundary feature sampling results of the plurality of frames of different pictures, that is, store a plurality of sets of boundary feature information of the plurality of frames of pictures; comparing the boundary characteristic information and judging, comparing the boundary characteristic sampling results of different frames of the multi-frame with the boundary characteristic sampling results of different frames of the multi-frame in the time interval in the preset storage information one by one, respectively counting the number of times of repetition to judge the frames, and generating a judgment result
In an embodiment of the invention, the method for driving a display to alleviate the display image sticking further includes updating after storing the boundary characteristic information, where the updating sets the preset storage information as a first preset storage information, stores the boundary characteristic sampling result of the multi-frame picture in another time interval into a second preset storage information, and replaces the original preset storage information with the second preset storage information in a covering manner.
In an embodiment of the present invention, the boundary information refers to an upper outer boundary, a lower outer boundary, a left outer boundary, a right outer boundary, and a plurality of vertical inner boundaries and horizontal inner boundaries between the four outer boundaries in each frame of the picture; the preset storage information comprises red, green and blue color display data and position coordinates of a plurality of boundary points in each frame picture.
In an embodiment of the present invention, the storing the boundary feature information stores multiple sets of boundary feature information of multiple frames of pictures, and if there is a repeated picture, the number of the repeated pictures is counted, and the storing of the repeated picture is abandoned, and the digital sampling and storing are continued until reaching the target storage frame number, which is the target of storing the boundary feature information of multiple frames of different pictures.
In one embodiment of the invention, when multiple groups of boundary characteristic information repeatedly appear, the picture is judged to be a circulating picture, only a single group of boundary characteristic information repeatedly appears, the picture is judged to be a static picture, and when the picture is judged to be static or the circulating picture, a ghost compensation algorithm is started; if the picture is not a circulating picture or a static picture, the picture is judged to be a dynamic picture, and the compensation algorithm is not started.
Another object of the present invention is to provide a display driving system for alleviating afterimage of a display, comprising:
the image boundary acquisition module is used for carrying out boundary detection on display data input into the display driving system so as to acquire boundary information, wherein the display data comprises a plurality of frames of different pictures;
the partition and boundary characteristic information sampling module is used for partitioning each frame of picture to form a plurality of area units according to the boundary information and sampling the area units of the different frames of pictures to acquire the boundary characteristic information of each area unit;
the boundary characteristic information storage module is used for storing the boundary characteristic sampling results of the multi-frame pictures within a time interval to form preset storage information;
the information comparison and judgment module is used for comparing and judging the boundary characteristic sampling results of the multiple frames of different pictures with the preset stored information, respectively counting the repeated times to judge the pictures and generating judgment results; and
and the ghost problem compensation module starts a ghost compensation algorithm when the judgment result is a circulating picture and a static picture, does not start the compensation algorithm when the judgment result is a dynamic picture, and then outputs the compensated or uncompensated display data.
In an embodiment of the present invention, the partition and boundary feature information sampling module partitions each frame of picture to form a plurality of block units according to the boundary information, and samples the block units of the plurality of frames of different pictures at specific time intervals to obtain boundary feature information in each block unit, where each frame of picture includes a group of boundary feature information, and the group of boundary feature information constitutes a boundary feature sampling result of the frame of picture, and finally stores the boundary feature sampling results of the plurality of frames of different pictures, that is, stores a plurality of groups of boundary feature information of the plurality of frames of pictures; and the information comparison and judgment module is used for comparing and judging the boundary characteristic sampling results of the different frames of the different pictures with the boundary characteristic sampling results of the different frames of the preset stored information in the time interval one by one, respectively counting the number of times of repetition to judge the pictures and generating judgment results.
In an embodiment of the present invention, the boundary information refers to an upper outer boundary, a lower outer boundary, a left outer boundary, a right outer boundary, and a plurality of vertical inner boundaries and horizontal inner boundaries between the four outer boundaries in each frame of the picture; the preset storage information comprises red, green and blue color display data and position coordinates of a plurality of boundary points in each frame picture.
In an embodiment of the present invention, the boundary feature information storage module stores multiple sets of boundary feature information of multiple frames of pictures, and if there is a repeated picture, the number of the repeated pictures is counted, and the repeated picture is abandoned to be stored, and the digital sampling and storage are continued until a target storage frame number is reached, which is targeted for storing the boundary feature information of multiple frames of different pictures.
In one embodiment of the invention, when multiple groups of boundary characteristic information repeatedly appear, the picture is judged to be a circulating picture, only a single group of boundary characteristic information repeatedly appears, the picture is judged to be a static picture, and when the picture is judged to be static or the circulating picture, a ghost compensation algorithm is started; if the picture is not a circulating picture or a static picture, the picture is judged to be a dynamic picture, and the compensation algorithm is not started.
In an embodiment of the present invention, the boundary characteristic information storage module updates the stored preset storage information, sets the preset storage information as a first preset storage information, stores a boundary characteristic sampling result of the multi-frame image in another time interval as another preset storage information, and replaces the original preset storage information with the another preset storage information in a covering manner.
Compared with the prior art, the method carries out boundary acquisition and feature sampling on input display data, regularly stores and updates a plurality of groups of boundary feature information, compares the detection result of the boundary information of the display data with the stored data, judges the display data as a circular picture when the plurality of groups of boundary feature information repeatedly appear, judges the display data as a static picture when only a single group of boundary feature information repeatedly appears, and starts a ghost compensation algorithm when the display data is judged to be static or circular; if the image is judged not to be a circulating image or a static image, the image is judged to be a dynamic image, a compensation algorithm is not started, and the purposes of optimizing the compensation effect of the ghost problem and prolonging the service life of the display are achieved through the driving method.
In order to make the aforementioned and other objects of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below:
drawings
FIG. 1 is a flowchart illustrating steps of a method for driving a display to alleviate the display image sticking according to the present invention.
FIG. 2 is a block diagram of a display driving system for alleviating display image sticking according to the present invention.
Fig. 3b to fig. 3D are diagrams of the display data of the present invention.
Sub-fig. 4A to 4D of fig. 4 correspond to sub-fig. 3A to 3D of fig. 3, respectively, and are the multi-frame screens displaying the display data, each of which is partitioned and is set with a plurality of boundary points.
Detailed Description
Referring to fig. 1, the display driving method for alleviating the afterimage of the display according to the present invention is performed by a computer host, wherein the computer host includes a motherboard, and a processor, a memory, a storage, an electrical connection port, etc. electrically connected to and disposed on the motherboard.
The display driving method for relieving the ghost shadow of the display comprises the following steps: acquiring image boundary information S01, partitioning, collecting and the boundary characteristic information S02, storing the boundary characteristic information S03, comparing the boundary characteristic information and judging S04, compensating the ghost problem S05 and updating S06.
The acquiring image boundary information S01 performs boundary detection on the input display data (i.e. the display content) to acquire boundary information, where the display data includes a plurality of frames of different frames. In the preferred embodiment of the present invention, the boundary information refers to an upper outer boundary T, a lower outer boundary B, a left outer boundary L, a right outer boundary R, and a plurality of vertical inner boundaries V and horizontal inner boundaries H between the four outer boundaries in each frame. The number of the vertical inner boundaries V and the horizontal inner boundaries H determines the number of the precinct units of the picture. For example, two vertical inner boundaries V and two horizontal inner boundaries H may be paired to generate nine zone units on the picture. In a preferred embodiment of the present invention, the acquiring the image boundary information S01 acquires the boundary information of the display data by using a Sobol operator, a Surf operator, or the like.
The partitioning, collecting and boundary feature information S02 is to partition each frame of picture to form a plurality of area units, and to sample the area units of different frames of pictures to obtain the boundary feature information of each area unit. In detail, the partitioning, collecting and boundary feature information S02 is to partition each frame of picture to form a plurality of area units according to the boundary information, and respectively sample the area units of the different pictures of the multiple frames at specific time intervals to obtain the boundary feature information in each area unit, where each frame of picture includes a set of boundary feature information, and the set of boundary feature information constitutes a boundary feature sampling result of the frame of picture, and finally store the boundary feature sampling results of the different pictures of the multiple frames, that is, store multiple sets of boundary feature information of the multiple frames of pictures.
Referring to fig. 3A to 3D, fig. 3A to 3D respectively show the different frames of the display data. In the preferred embodiment of the present invention, the frames of different frames are sequentially displayed, and can be continuous frames or discontinuous frames. Referring to fig. 4A to 4D of fig. 4, fig. 4A to 4D correspond to fig. 3A to 3D, respectively, and respectively display the multiple frames of the display data, and each of the frames is partitioned and set with a plurality of boundary points. Each screen has a plurality of area units, for example, six area units arranged in a 3 × 2 matrix. When boundary feature sampling is carried out, boundary points A-F at the leftmost position (the position close to the upper position has the highest priority and the position close to the left is the next position) in each area unit are taken as boundary feature information, data are stored in an area without the boundary points, the position is 0, and a plurality of boundary points A-F are obtained in each frame. The picture shown in sub-fig. 4A has 4 boundary points B, D, E, F, and the pictures shown in sub-fig. 4B-4D have 6 boundary points a-F, respectively. In short, the set of boundary feature information of each frame includes information of a plurality of boundary points, such as Red (R), Green (G), Blue (B) color display data, position coordinates (X and Y coordinate values), and the like of the boundary points.
The storing the boundary characteristic information S03 stores the boundary characteristic sampling result of the multi-frame frames within a time interval to form a preset storage information. In other words, the predetermined storage information includes RGB color display data and position coordinates of a plurality of boundary points in each frame. In the preferred embodiment of the present invention, the S03 stores the boundary characteristic information of multiple frames. In the storage process, if repeated pictures exist, the number of the repeated pictures is counted, the repeated pictures are abandoned to be stored, and the digital sampling and storage are continued until the target storage frame number is reached, wherein the target is to store the boundary characteristic information of different frames of multiple frames.
In addition, the invention can further refine the region unit and the like through the partitioning and collecting and the boundary characteristic information S02, thereby improving the detection accuracy. For example, the partitioning, collecting and boundary feature information S02 further defines sub-boundaries for each of the original area units, further defines sub-area units in each of the area units, and samples the sub-boundary in each of the sub-area units to obtain sub-boundary feature information in each of the area units. The sub-boundary feature information is a sub-boundary point, which includes RGB color display data and position coordinates.
Comparing the boundary characteristic information and determining S04, further comprising comparing the boundary characteristic sampling results of the different frames of the multi-frame with the boundary characteristic sampling results of the different frames of the multi-frame in the time interval in the preset storage information one by one, counting the number of repetitions respectively to perform frame determination, and generating a determination result.
And the ghost problem compensation S05, starting a ghost compensation algorithm when the determination result is the cyclic picture and the static picture, not starting the compensation algorithm when the determination result is the dynamic picture, and then outputting the compensated or uncompensated display data. In the preferred embodiment of the present invention, when multiple sets of boundary feature information repeatedly appear, the image is determined as a circular image, and when only a single set of boundary feature information repeatedly appears, the image is determined as a still image, and when the image is determined as a still image or a circular image, the ghost compensation algorithm is started; if the picture is not a circulating picture or a static picture, the picture is judged to be a dynamic picture, and the compensation algorithm is not started. In the preferred embodiment of the present invention, the ghost compensation algorithm can be a frame moving method or a boundary brightness adjustment method.
The updating S06 updates the stored preset storage information after the storing the boundary characteristic information S03. In the preferred embodiment of the present invention, the updating step S06 is to store the boundary characteristic sampling result of the multi-frame frames in another time interval into a second predetermined storage information, and to replace the original predetermined storage information with the second predetermined storage information in an overwriting manner.
Referring to fig. 2, the display driving system for alleviating display image sticking of the present invention is used for executing the display driving method for alleviating display image sticking of the present invention, and the driving system includes: the image boundary acquisition module 10, the partition and boundary feature information sampling module 20, the boundary feature information storage module 40, the information comparison and determination module 30, and the ghost problem compensation module 50.
The five modules can be five software programs installed in a computer host, and the computer host comprises a mainboard and elements such as a processor, a memory, a storage, an electric connection port and the like which are electrically connected and arranged on the mainboard. Alternatively, the five modules may be a computer host as described above, and the five computer hosts may be directly or indirectly electrically connected through a network or other software or hardware to jointly execute the driving system of the present invention.
The image boundary acquiring module 10 performs boundary detection on display data (i.e. display image content) input to the display driving system to acquire boundary information, where the display data includes a plurality of frames of different images. In a preferred embodiment of the present invention, the boundary information refers to an upper outer boundary, a lower outer boundary, a left outer boundary, a right outer boundary, and a plurality of vertical inner boundaries and horizontal inner boundaries between the four outer boundaries in each frame. The number of the vertical inner boundaries and the number of the horizontal inner boundaries determine the number of the zone units of the picture. For example, two vertical inner boundaries and two horizontal inner boundaries can be paired to generate nine zone units on the frame. In a preferred embodiment of the present invention, the image boundary obtaining module 10 obtains the boundary information of the display data by using a Sobol operator, a Surf operator, and other methods.
The partitioning and boundary feature information sampling module 20 partitions each frame of picture to form a plurality of area units according to the boundary information, and samples the area units of the different frames of pictures at specific time intervals to obtain the boundary feature information in the area units, wherein each frame of picture includes a group of boundary feature information, the group of boundary feature information constitutes a boundary feature sampling result of the frame of picture, and finally stores the boundary feature sampling results of the different frames of pictures, that is, stores the plurality of groups of boundary feature information of the frames of pictures. Specifically, the specific time interval pattern is a specific time period, for example, a time period of 1ms, 3ms, 5ms, 20ms, or 100 ms. For example, the plurality of region units of different frames of the multi-frame may be sampled respectively every time period of 1ms, 3ms, 5ms, 20ms, or 100ms to obtain the boundary characteristic information in each of the region units. Taking the 100ms time period as an example, 10 sets of boundary feature information in each of the block units can be extracted every second.
Referring to fig. 3A-3D, fig. 3A-3D respectively display the multiple frames of different frames of the display data, in a preferred embodiment of the present invention, the multiple frames of different frames are sequentially displayed, and may be continuous frames or discontinuous frames. Each screen has a plurality of area units, for example, six area units arranged in a 3 × 2 matrix. When boundary feature sampling is carried out, boundary points A-F at the leftmost position (the position close to the upper position has the highest priority and the position close to the left is the next position) in each area unit are taken as boundary feature information, data are stored in an area without the boundary points, the position is 0, and a plurality of boundary points A-F are obtained in each frame. The picture shown in sub-fig. 4A has 4 boundary points B, D, E, F, and the pictures shown in sub-fig. 4B-4D have 6 boundary points a-F, respectively. In short, the set of boundary feature information of each frame includes information of a plurality of boundary points, such as Red (R), Green (G), Blue (B) color display data, position coordinates (X and Y coordinate values), and the like of the boundary points.
The boundary characteristic information storage module 40 stores the boundary characteristic sampling results of the multiple frames of pictures within a time interval to form preset storage information. In other words, the predetermined storage information includes RGB color display data and position coordinates of a plurality of boundary points in each frame. In the preferred embodiment of the present invention, the boundary characteristic information storage module 40 stores a plurality of sets of boundary characteristic information of a plurality of frames. In the storage process, if repeated pictures exist, the number of the repeated pictures is counted, the repeated pictures are abandoned to be stored, and the digital sampling and storage are continued until the target storage frame number is reached, wherein the target is to store the boundary characteristic information of different frames of multiple frames. In a preferred embodiment of the present invention, the boundary characteristic information storage module updates the stored preset storage information. More specifically, the boundary characteristic information storage module stores the boundary characteristic sampling result of the multi-frame image in another time interval as another preset storage information, and replaces the original preset storage information with the another preset storage information in a covering manner.
In addition, the invention can further refine the region unit and other modes through the region and boundary characteristic information sampling module 20, thereby improving the detection accuracy. For example, the partitioning and boundary characteristic information sampling module 20 further defines a sub-boundary for each original area unit, further defines a sub-area unit in each area unit, and samples the sub-boundary in each sub-area unit to obtain the sub-boundary characteristic information in each area unit. The sub-boundary feature information is a sub-boundary point, which includes RGB color display data and position coordinates.
Further, with respect to the memory space calculation required by the boundary feature information storage module 40: with the 3X 2 matrix partitioning method, each frame needs to store 6 pieces of boundary characteristic information (boundary points), data is stored for 12 bits R/G/B, the coordinate is compatible up to 8K resolution, and the position X and Y coordinates are respectively 13 bits. Therefore, the boundary feature information of 4 frames of pictures needs to be stored (12 × 3+13 × 2) × 6 × 4 ≈ 1488bits ≈ 1.45kb, as shown in table one below:
watch 1
The information comparing and determining module 30 compares the boundary feature sampling results of the different frames of the multiple frames of the different pictures with the boundary feature sampling results of the different frames of the multiple frames of the preset stored information in the time interval one by one, counts the number of repetitions respectively to perform picture determination, and generates a determination result.
The ghost problem compensation module 50 starts a ghost compensation algorithm when the determination result is a cyclic picture and a static picture, does not start the compensation algorithm when the determination result is a dynamic picture, and then the ghost problem compensation module 50 outputs the compensated or uncompensated display data. In the preferred embodiment of the present invention, when multiple sets of boundary feature information repeatedly appear, the image is determined as a circular image, and when only a single set of boundary feature information repeatedly appears, the image is determined as a still image, and when the image is determined as a still image or a circular image, the ghost compensation algorithm is started; if the picture is not a circulating picture or a static picture, the picture is judged to be a dynamic picture, and the compensation algorithm is not started. In the preferred embodiment of the present invention, the ghost compensation algorithm can be a frame moving method or a boundary brightness adjustment method.
Compared with the prior art, the method carries out boundary acquisition and feature sampling on input display data, regularly stores and updates a plurality of groups of boundary feature information, compares the detection result of the boundary information of the display data with the stored data, judges the display data as a circular picture when the plurality of groups of boundary feature information repeatedly appear, judges the display data as a static picture when only a single group of boundary feature information repeatedly appears, and starts a ghost compensation algorithm when the display data is judged to be static or circular; if the image is judged not to be a circulating image or a static image, the image is judged to be a dynamic image, a compensation algorithm is not started, and the purposes of optimizing the compensation effect of the ghost problem and prolonging the service life of the display are achieved through the driving method.
Claims (12)
1. A display driving method for alleviating display ghosting, the driving method comprising:
carrying out boundary detection on input display data to acquire boundary characteristic information, wherein the display data comprises a plurality of frames of different pictures;
according to the boundary information, each frame of picture is partitioned to form a plurality of area units, and the area units of the different frames of pictures are sampled to obtain boundary characteristic information of the area units;
storing the boundary characteristic sampling result of the multi-frame picture within a time interval to form preset storage information;
comparing and judging the boundary characteristic sampling results of the different frames of the multi-frame with the preset stored information, respectively counting the number of times of repetition to judge the frames, and generating a judgment result; and
and starting the ghost compensation algorithm when the judgment result is a circulating picture and a static picture, not starting the compensation algorithm when the judgment result is a dynamic picture, and then outputting the compensated or uncompensated display data.
2. The method of claim 1, wherein the step of reducing display image sticking comprises:
performing boundary detection on input display data to acquire boundary characteristic information, further comprising sampling the plurality of region units of the plurality of frames of different pictures respectively at specific time intervals to acquire the boundary characteristic information in each region unit, wherein each frame of picture comprises a group of boundary characteristic information; and
comparing and judging the boundary characteristic sampling results of the different frames of the multi-frame with the preset stored information, respectively counting the number of times of repetition to judge the frames, and generating a judgment result.
3. The method as claimed in claim 1, further comprising setting the predetermined storage information as a first predetermined storage information, storing the boundary characteristic sampling result of the frames of the multi-frame in another time interval as a second predetermined storage information, and overwriting the second predetermined storage information instead of the original predetermined storage information.
4. The method of claim 1, wherein the boundary information includes an upper outer boundary, a lower outer boundary, a left outer boundary, a right outer boundary, and a plurality of vertical inner boundaries and horizontal inner boundaries between the four outer boundaries in each frame; the preset storage information comprises red, green and blue color display data and position coordinates of a plurality of boundary points in each frame picture.
5. The method as claimed in claim 1, wherein the storing the boundary characteristic sampling results of the frames within a time interval to form a preset storage information, further comprises counting the number of the repeated frames when there are the repeated frames, abandoning the storing of the repeated frames, and continuing the sampling and storing until reaching the target storage frame number to store the boundary characteristic information of different frames.
6. The method as claimed in claim 1, wherein the plurality of sets of boundary characteristic information are determined as a cyclic frame when they occur repeatedly, and are determined as a still frame only when a single set of boundary characteristic information occur repeatedly, and the motion blur compensation algorithm is started when the frame is determined as a still or cyclic frame; if the picture is not a circulating picture or a static picture, the picture is judged to be a dynamic picture, and the compensation algorithm is not started.
7. A display driving system for alleviating display ghosting, the driving system comprising:
the image boundary acquisition module is used for carrying out boundary detection on display data input into the display driving system so as to acquire boundary information, wherein the display data comprises a plurality of frames of different pictures;
the partition and boundary characteristic information sampling module is used for partitioning each frame of picture to form a plurality of area units according to the boundary information and sampling the area units of the different frames of pictures to acquire the boundary characteristic information of each area unit;
the boundary characteristic information storage module is used for storing the boundary characteristic sampling result of the multi-frame pictures within a time interval to form preset storage information;
the information comparison and judgment module is used for comparing and judging the boundary characteristic sampling results of the multiple frames of different pictures with the preset stored information, respectively counting the repeated times to judge the pictures and generating judgment results; and
and the ghost problem compensation module starts a ghost compensation algorithm when the judgment result is a circulating picture and a static picture, does not start the compensation algorithm when the judgment result is a dynamic picture, and then outputs the compensated or uncompensated display data.
8. The display driving system for mitigating display ghosting as recited in claim 7, wherein the system comprises a plurality of driving circuits
The partition and boundary characteristic information sampling module is used for partitioning each frame of picture to form a plurality of area units according to the boundary information, respectively sampling the area units of the different frames of pictures at specific time intervals to acquire boundary characteristic information in the area units, wherein each frame of picture comprises a group of boundary characteristic information which forms a boundary characteristic sampling result of the frame of picture, and finally storing the boundary characteristic sampling results of the different frames of pictures, namely storing a plurality of groups of boundary characteristic information of the frames of pictures; and
the information comparison and judgment module compares the boundary characteristic sampling results of the different frames of the multi-frame with the boundary characteristic sampling results of the different frames of the multi-frame in the time interval in the preset storage information one by one, counts the number of repetition times respectively to judge the frames, and generates a judgment result.
9. The system of claim 7, wherein the boundary information is an upper outer boundary, a lower outer boundary, a left outer boundary, a right outer boundary, and a plurality of vertical inner boundaries and horizontal inner boundaries between the four outer boundaries in each frame; the preset storage information comprises red, green and blue color display data and position coordinates of a plurality of boundary points in each frame picture.
10. The display driving system for mitigating display ghosting as recited in claim 7, wherein the boundary characteristic information storage module stores a plurality of sets of boundary characteristic information of a plurality of frames of pictures, counts the number of repeated pictures if the repeated pictures exist, abandons storing the repeated pictures, and continues to perform digital sampling and storing until a target storage frame number is reached, the target storage frame number being the boundary characteristic information of different pictures of the plurality of frames.
11. The display driving system for mitigating image sticking on a display device as recited in claim 7, wherein a plurality of sets of boundary feature information are determined to be a cyclic frame when repeatedly appearing, a still frame is determined when only a single set of boundary feature information are repeatedly appearing, and an image sticking compensation algorithm is started when the frame is determined to be still or cyclic; if the picture is not a circulating picture or a static picture, the picture is judged to be a dynamic picture, and the compensation algorithm is not started.
12. The system as claimed in claim 7, wherein the boundary characteristic information storage module updates the stored predetermined stored information, sets the predetermined stored information as a first predetermined stored information, stores the boundary characteristic sampling result of the multi-frame frames in another time interval as a second predetermined stored information, and replaces the original predetermined stored information with the second predetermined stored information.
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