CN111477183A

CN111477183A - Reader refresh method, computing device, and computer storage medium

Info

Publication number: CN111477183A
Application number: CN202010278921.XA
Authority: CN
Inventors: 程超
Original assignee: Ireader Technology Co Ltd; Zhangyue Technology Co Ltd
Current assignee: Ireader Technology Co Ltd; Zhangyue Technology Co Ltd
Priority date: 2020-04-10
Filing date: 2020-04-10
Publication date: 2020-07-31
Anticipated expiration: 2040-04-10
Also published as: CN111477183B

Abstract

The invention discloses a reader refreshing method, a computing device and a computer storage medium. The method comprises the following steps: reading the image data to be displayed of the next frame; establishing a gray scale value distribution density matrix according to the gray scale value of each pixel point in the image data to be displayed; traversing matrix elements with matrix element values as set values in the gray-scale value distribution density matrix, and searching whether at least one matrix element with a plurality of continuous matrix element values as set values in a specific direction exists; determining a type identification result of the image data to be displayed according to the search result; according to the type identification result, the refresh mode of the image data to be displayed is determined, the image data to be displayed is refreshed according to the determined refresh mode, the appropriate refresh mode is determined based on the data type of the image data to be displayed, the refresh effect of the reader is improved, the problem that image quality is seriously affected by ghost shadow is effectively controlled, the flash frequency is effectively controlled, and the refresh speed is integrally improved.

Description

Reader refresh method, computing device, and computer storage medium

Technical Field

The invention relates to the technical field of computers, in particular to a reader refreshing method, computing equipment and a computer storage medium.

Background

The existing reader refresh modes are basically divided into two modes: a full refresh mode and a fast refresh mode. The complete refresh mode has the best display effect, and no content ghost on the previous frame of screen is left on the display screen. But has the disadvantages of slow refreshing frequency, even the intermediate process of full white or full black, and more obvious flicker feeling. The fast refresh mode is the opposite, and the display speed is fast, there is no flicker, but there is the afterimage of the previous picture. After the screen is refreshed for many times, the display effect is obviously influenced because the accumulation of the residual shadow is more and more serious. Therefore, the conventional method is to use the complete refresh once after several quick refreshes and after the afterimage of the screen is serious, which is a passive refresh mode. Due to different use habits and different degrees of sensitivity to ghosting, different hardware environments and different screens can cause differences of ghosting phenomena, and the current passive refresh mode with fixed refresh times cannot be completely compatible with the differences, so that the user experience is poor.

Disclosure of Invention

In view of the above, the present invention has been developed to provide a reader refreshing method, a computing device, and a computer storage medium that overcome or at least partially address the above-identified problems.

According to an aspect of the present invention, there is provided a reader refresh method including:

reading the image data to be displayed of the next frame;

establishing a gray-scale value distribution density matrix according to the gray-scale value of each pixel point in the image data to be displayed, wherein any matrix element value is the gray-scale value of the corresponding pixel point;

traversing matrix elements with matrix element values as set values in the gray-scale value distribution density matrix, and searching whether at least one matrix element with a plurality of continuous matrix element values as set values in a specific direction exists;

determining a type identification result of the image data to be displayed according to the search result;

and determining a refresh mode of the image data to be displayed according to the type identification result, and refreshing the image data to be displayed according to the determined refresh mode.

According to another aspect of the present invention, there is provided a computing device comprising: the processor, the memory and the communication interface complete mutual communication through the communication bus;

the memory is used for storing at least one executable instruction, and the executable instruction causes the processor to execute the following operations:

reading the image data to be displayed of the next frame;

According to yet another aspect of the present invention, there is provided a computer storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to:

reading the image data to be displayed of the next frame;

According to the scheme provided by the invention, when the image data to be displayed of the next frame is refreshed, the refreshing is not carried out according to the traditional refreshing method, but the data type of the image data to be displayed is fully considered, and the appropriate refreshing mode is determined based on the data type of the image data to be displayed, so that the refreshing effect of the reader is improved, the problem that the image quality is seriously influenced by the ghost is effectively controlled, the flicker frequency is effectively controlled, the refreshing speed is integrally improved, and the user experience is improved.

The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.

Drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:

FIG. 1 illustrates a flow diagram of a reader refresh method according to one embodiment of the present invention;

FIG. 2 illustrates a flow diagram of a reader refresh method according to another embodiment of the present invention;

FIG. 3A shows a flow diagram of a reader refresh method according to another embodiment of the present invention;

FIG. 3B is a schematic diagram of the established gray scale value distribution density matrix;

fig. 3C is a flowchart illustrating a specific implementation of step S306;

fig. 3D is a schematic diagram of a gray-scale value distribution density matrix when a matrix element value of at least one matrix element in a preset adjacent direction of the tile window is a set value;

fig. 3E is a schematic diagram of a gray-scale value distribution density matrix when matrix element values of any matrix element in the preset adjacent direction of the fragment window are not set values;

FIG. 4 shows a schematic structural diagram of a computing device according to one embodiment of the invention.

Detailed Description

Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

The reader refreshing method provided by the embodiment of the invention can be used for refreshing the ink screen reader and also can be used for refreshing the color ink screen reader, and the color ink screen reader is formed by adding a layer of color filter film on a traditional ink screen to provide color components. The black and white particles in the ink capsule move to different degrees under the driving of the driving voltage to form different gray scale effects, and the gray scale effects can influence the color depth of the color component through the color filter film, so that the purpose of full-color-domain color display is achieved. The color screen has rich colors, so that the ghost image is more serious compared with a black and white screen regardless of displaying characters or images.

FIG. 1 shows a flow diagram of a reader refresh method according to one embodiment of the present invention. Such as

As shown in fig. 1, the method comprises the following steps:

step S101, reading image data to be displayed in the next frame.

In practical application, the image to be displayed may only contain text content or only contain image content or both text content and image content, in order to refresh the image data to be displayed in a proper refresh mode and improve the refresh effect, the image to be displayed can be refreshed according to the reader refresh method provided by the embodiment, and different refresh modes are adopted for refreshing by determining the data type of the image data to be displayed.

Specifically, before displaying the next frame of image, the image data to be displayed in the next frame needs to be read first, specifically, the image data may be stored in the display buffer, and before displaying the next frame of image, the image data to be displayed in the next frame of image is read from the display buffer, where the image data refers to a set of gray-scale values of each pixel point represented by a numerical value.

Step S102, establishing a gray-scale value distribution density matrix according to the gray-scale value of each pixel point in the image data to be displayed, wherein any matrix element value is the gray-scale value of the corresponding pixel point.

Each image is composed of a plurality of pixel points, and the plurality of pixel points are distributed according to a certain rule to obtain the corresponding image, so that after the image data to be displayed of the next frame is read, the following processing can be carried out: according to the distribution condition of the pixel points, a gray-scale value distribution density matrix is established according to the gray-scale value of each pixel point in the image data to be displayed, it should be noted that the number of matrix elements in the established gray-scale value distribution density matrix is the same as the number of pixel points in the image data to be displayed, for example, the image data to be displayed includes M × N pixel points, M, N respectively indicates that the image has M rows and N columns, so that the established gray-scale value distribution density matrix is the gray-scale value distribution density matrix of M rows and N columns, the established gray-scale value distribution density matrix includes M × N matrix elements, and the matrix element value corresponding to any matrix element in the gray-scale value distribution density matrix is the gray-scale value of the corresponding pixel point. For example, the gray scale values range from 0 to 15, where 0 represents black, 15 represents white, and the middle values represent different degrees of gray effect.

For example, the number of the pixels included in the image data to be displayed is 128 × 64, the established gray-scale value distribution density matrix is a matrix with 128 rows and 64 columns, and the matrix element values corresponding to the matrix elements in the gray-scale value distribution density matrix are the gray-scale values of the corresponding pixels. For example, the gray scale value of the pixel point in the 5 th row and the 5 th column of the image data to be displayed is 0, and then the matrix element value corresponding to the matrix element in the 5 th row and the 5 th column in the gray scale value distribution density matrix is 0, which corresponds to the gray scale value 0 of the pixel point in the 5 th row and the 5 th column. This is by way of example only and is not intended to be limiting.

Step S103, traversing the matrix elements with the matrix element values as set values in the gray-scale value distribution density matrix, and searching whether at least one matrix element with a plurality of continuous matrix element values as set values in a specific direction exists.

In combination with practical application, it is found that the image content usually includes four edges and may also include lines, and the gray scale values of the four edges or the lines are the same, so that the data type of the image data can be identified based on the gray scale values.

The gray scale value distribution of the pixel points of the image is the same as the matrix element value distribution in the gray scale value distribution density matrix, and the gray scale values of four edges or lines are the same, so that the corresponding matrix element values in the gray scale value distribution density matrix are also the same, therefore, whether a plurality of continuous matrix elements with the matrix element values being set values in at least one specific direction exist or not is searched by traversing the matrix elements with the matrix element values being set values in the gray scale value distribution density matrix, and the data type of the image data to be displayed can be determined.

And step S104, determining the type identification result of the image data to be displayed according to the search result.

When performing the search according to step S103, the following search result may be obtained: finding out matrix elements with a plurality of continuous matrix element values in at least one specific direction as set values; or, a plurality of matrix elements with continuous matrix element values as set values do not exist in any specific direction. And determining the type identification result of the image data to be displayed according to the search result.

And S105, determining a refresh mode of the image data to be displayed according to the type identification result, and refreshing the image data to be displayed according to the determined refresh mode.

After the type identification result of the image data to be displayed is determined, a refresh mode, such as a fast refresh mode or a complete refresh mode, of the image data to be displayed can be determined according to the type identification result, and then the image data to be displayed is refreshed according to the determined refresh mode.

FIG. 2 illustrates a flow diagram of a reader refresh method according to another embodiment of the present invention. As shown in fig. 2, the method comprises the steps of:

step S201, reading image data to be displayed in the next frame.

Step S202, a gray scale value distribution density matrix is established according to the gray scale value of each pixel point in the image data to be displayed, wherein any matrix element value is the gray scale value of the corresponding pixel point.

Steps S201 to S202 in the embodiment shown in fig. 2 are similar to steps S101 to S102 in the embodiment shown in fig. 1, and are not described again here.

In step S203, the matrix element whose matrix element value is a set value is traversed in the gray-scale value distribution density matrix.

In combination with practical applications, it is found that the image content usually includes four sides and may also include lines, and the four sides or the lines are usually black or white, but may also be other gray colors, and the gray scale values of the whole four sides or the lines are the same, so that the set value may be determined according to the gray scale values of the four sides or the lines, where the set value may be any value from 0 to 15. In order to identify whether the image data contains image content, the starting points of four edges or lines need to be found in the gray-scale value distribution density matrix, and specifically, matrix elements with matrix element values as set values need to be searched in the gray-scale value distribution density matrix in a traversing manner. For the convenience of description of the subsequent steps, any matrix element whose matrix element value traversed and searched is a set value is referred to as a starting point matrix element. For example, if the set value is 0, traversing the matrix elements with matrix element values of 0 in the gray-scale value distribution density matrix, for example, finding 10 matrix elements, then all 10 matrix elements will be used as starting matrix elements for subsequent processing.

Step S204, a slicing window is established by taking the matrix elements as the center, the size of the slicing window is 1 x 1, and the unit is the matrix elements.

After traversing to the matrix element with the matrix element value as the set value, establishing a fragmentation window by taking the matrix element as the center, wherein the size of the fragmentation window is 1 x 1, and the unit is the matrix element. The established tile window covers only one matrix element at a time.

Step S205, moving the fragmentation window along any specific direction according to the step length, if the matrix element value of the matrix element covered by the fragmentation window is the set value, continuing to move the fragmentation window in the specific direction until the matrix element value of the matrix element covered by the fragmentation window is no longer the set value; and repeatedly executing the step until the traversal of a plurality of specific directions is completed.

After the fragment window is established, whether the image to be displayed includes four edges or lines can be found, in most cases, the four edges or lines are either horizontal or vertical, and after the matrix element (hereinafter, simply referred to as a starting point matrix element for convenience of description) whose matrix element value is a set value is found by traversing according to step S203, the starting point matrix element can be used as a starting point, and the four directions of the starting point matrix element are sequentially found. In connection with the gray-scale value distribution density matrix specification, there may be a case where the determined starting point matrix element is at a first row or last row or first column or last column position, and then there may be a case where no search in a certain direction is required, for example, the starting point matrix element is at the first row position, and then no search in an upward direction is required.

Specifically, the fragment window is moved in any specific direction (any direction of up, down, left, and right) according to the step length, for example, the specific direction is upward, if the matrix element value of the matrix element covered by the fragment window is the set value, the fragment window is continuously moved in the specific direction until the matrix element value of the matrix element covered by the fragment window is no longer the set value, the traversal in the direction is stopped, and the start matrix element position is returned; traversing towards another specific direction (for example, downwards) by taking the starting matrix element as a starting position, if the matrix element value of the matrix element covered by the fragment window is a set value, continuously moving the fragment window in the specific direction until the matrix element value of the matrix element covered by the fragment window is no longer the set value, stopping traversing in the direction, and returning to the starting matrix element position; then traverse in a particular direction (e.g., to the left) until all four directions have been traversed.

Taking a set value as 0 for illustration, traversing and finding out matrix elements with matrix element values of 0 in a gray-scale value distribution density matrix, wherein each matrix element with matrix element value of 0 is called a starting matrix element, establishing a fragment window with the starting matrix element as a center for any starting matrix element, the size of the fragment window is 1 x 1, the unit is a matrix element, namely the fragment window covers the starting matrix element at the initial time, and the fragment window is respectively moved up and down and left and right (namely, an adjacent matrix element is traversed) according to a step length, if the matrix element value of the adjacent matrix element is not 0, stopping traversing in the direction, and traversing in the other direction with the starting matrix element as the starting position; and if the matrix element values of the adjacent matrix elements are also 0, continuously traversing towards the direction until the traversed matrix element values are not 0, then returning to the positions of the matrix elements, and traversing in the opposite direction until all the traversal in four directions is completed by taking the starting matrix element as a starting point.

Step S206, finding whether there are at least m matrix elements having consecutive matrix element values in a specific direction as a set value, where m is greater than or equal to a preset threshold.

In combination with practical application, it is found that horizontal and vertical strokes may occur in a text, and usually four edges or lines of the image content are longer than the horizontal and vertical strokes in the text, so in order to distinguish the four edges or lines of the image content from the horizontal and vertical strokes in the text, after traversing in multiple specific directions by using step S205, the following processing is required: and searching whether at least one matrix element with m continuous matrix element values in a specific direction as a set value exists, wherein m is greater than or equal to a preset threshold value, and the preset threshold value can be set by combining the number of matrix elements contained in horizontal and vertical strokes in the character.

It should be noted that, in the step S205, when traversing, it may occur that the matrix element whose matrix element value is the set value is traversed in both the upward direction and the downward direction (the left direction and the right direction), in this case, it may be counted whether m consecutive matrix elements whose matrix element values are the set value exist in both the upward direction and the downward direction (the left direction and the right direction), that is, whether the sum of the number of matrix elements whose matrix element values are the set values in both the directions is m; it is also possible to have a matrix element whose matrix element value is a set value traversed only in the upward or downward direction (only in the leftward or rightward direction), in which case it can be counted whether there are m consecutive matrix elements whose matrix element values are set values in one direction.

Step S207, if at least m continuous matrix elements with the matrix element values as the set values in one specific direction are found, determining that the image data to be displayed is image data, and adopting a complete refresh mode as a refresh mode of the image data to be displayed.

If at least m continuous matrix elements with the matrix element values as set values in one specific direction are found according to the step S206, determining that the image data to be displayed is image data, and adopting a complete refresh mode as a refresh mode of the image data to be displayed. The reason why the fast refresh mode is not adopted as the refresh mode of the image data to be displayed is that for image data, the fast refresh mode has more serious afterimage and seriously affects the image quality, and the problem of afterimage can be overcome by adopting the complete refresh mode as the refresh mode of the image data to be displayed.

The full refresh mode is to perform full-screen refreshing once for each refresh, and is to drive the ink particles from the current position to the full-black position, perform a screen refreshing process once, and then drive the ink particles to the position of the next frame image, so that the reader does not leave the content ghost on the screen of the previous frame, and the full-screen refresh mode mainly includes a GC16 refresh mode and a GCC16 refresh mode, where 16 represents 16 gray levels. It should be noted that, compared with the GC16 refresh mode, the GCC16 refresh mode has a better effect of eliminating the afterimage, and is more suitable for a color ink screen reader.

Step S208, if the matrix element with at least m continuous matrix element values in a specific direction as a set value is not found, determining that the image data to be displayed is character data, and adopting a fast refresh mode as a refresh mode of the image data to be displayed.

If the matrix element having at least m continuous matrix element values in a specific direction as a set value is not found according to step S206, it may be determined that the image data to be displayed is text data, and since the text content has an obvious black-white contrast and a shallow afterimage during refreshing, a fast refresh mode may be used as a refresh mode for the image data to be displayed.

The fast refresh mode pursues the effects of high refresh rate and low flicker degree, and mainly comprises a GU refresh mode (Grayscale Update mode) and an A2 refresh mode, wherein the GU refresh mode is to directly drive ink particles corresponding to a pixel point of a currently displayed image from a current position to a position to be displayed by the pixel point in a next frame of image; the A2 refresh mode only has black and white two colors, which is to display the content of the original display 16-level gray scale by black and white two-level gray scale, so as to reduce the consumption of performance and time caused by rendering the gray scale, and the refresh speed is faster. When the image data to be displayed is character data, the A2 refresh mode is used, and the character content is generally black characters and white characters or white characters and black characters, so that the influence of the elimination of gray scale on the display effect is not great. The a2 refresh mode can greatly increase the refresh rate (e.g., increase the refresh rate from 600ms to 120ms) while providing a lower flicker compared to the grayscale mode.

In practical applications, oblique lines may exist in the image content, and the data type of the image data to be displayed can be identified through oblique traversal.

Step S209, performing refresh processing on the image data to be displayed according to the determined refresh mode.

When the refreshing mode of the image data to be displayed is determined, the image data to be displayed can be refreshed according to the determined refreshing mode, and the residual shadow is shallow during refreshing due to obvious black-white contrast of the character data, so that the residual shadow can be effectively reduced and the refreshing speed can be further increased by refreshing the character data in the fast refreshing mode; and because the related colors of the image data are rich, if a fast refreshing mode is adopted, serious afterimage can appear, and if the image data is refreshed by adopting a complete refreshing mode, the afterimage problem can be eliminated.

According to the scheme provided by the invention, when the image data to be displayed of the next frame is refreshed, the refreshing is not carried out according to the traditional refreshing method, but the data type of the image data to be displayed is fully considered, the established gray-scale value distribution density matrix is traversed by utilizing the established 1X 1 fragment window, the identification accuracy can be improved, if the image data to be displayed is character data, the refreshing processing is carried out on the image data to be displayed by adopting a quick refreshing mode, the refreshing speed can be improved, the ghost problem can not occur, and the flicker frequency can be reduced; if the image data to be displayed is image data, the image data to be displayed is refreshed in a complete refreshing mode, the problem of ghost shadow can be solved, the overall refreshing effect of the reader is improved, and the user experience is improved.

FIG. 3A shows a flow diagram of a reader refresh method according to another embodiment of the present invention. As shown in fig. 3A, the method includes the steps of:

step S301, reading image data to be displayed in the next frame.

Step S302, a gray scale value distribution density matrix is established according to the gray scale value of each pixel point in the image data to be displayed, wherein any matrix element value is the gray scale value of the corresponding pixel point.

Fig. 3B is a schematic diagram of the established gray-scale value distribution density matrix, each circle in fig. 3B represents a matrix element, the matrix element value of the matrix element is the gray-scale value of the corresponding pixel, and the color of the circle in the diagram is independent of the size of the gray-scale value. The number of rows and columns of the gray-scale value distribution density matrix is related to the number of rows and columns of pixel points included in the image data to be displayed, and is only schematically illustrated here. The black circles in fig. 3B indicate matrix elements whose matrix element values are set values, and the white circles indicate matrix elements whose matrix element values are non-set values, and the specific values of the non-set values are not limited here, and the arrows point to the preset traverse direction.

Steps S301 to S302 in the embodiment shown in fig. 3A are similar to steps S101 to S102 in the embodiment shown in fig. 1, and are not described again here.

Step S303, determining the starting point matrix elements of traversal and a preset traversal direction, establishing a fragmentation window with the size of n x n, assigning n to be 1, and taking the unit of n as the matrix elements.

In the embodiment shown in fig. 2, it is necessary to traverse each matrix element whose matrix element value is a set value, and to traverse a plurality of directions, and in addition, the matrix elements whose adjacent matrix element values are set values need to be traversed repeatedly, which results in a large amount of computation and consumes computation resources.

In order to reduce the amount of computation and save the computation resources, the present embodiment adjusts the traversal manner by dynamically scaling the fragment window, specifically, determines the starting point matrix element and the preset traversal direction of traversal, establishes the fragment window with the size n × n, assigns n to 1, and uses the unit of n as the matrix element. The initially created 1 × 1 tile window covers the starting matrix elements, as shown by the dashed box in fig. 3B, where the dashed box is the tile window and the matrix elements covered by the dashed box are the starting matrix elements.

Step S304, judging whether the matrix element values of all matrix elements covered by the fragment window are set values, if so, executing step S305; if not, go to step S306.

In combination with practical applications, it is found that the image content usually includes four sides and may also include lines, and the four sides or the lines are usually black or white, but may also be other gray colors, and the gray scale values of the whole four sides or the lines are the same, so that the set value may be determined according to the gray scale values of the four sides or the lines, where the set value may be any value from 0 to 15. Therefore, after the n × n fragmentation window is established, by judging whether the matrix element values of all matrix elements covered by the fragmentation window are set values, whether the established fragmentation window is proper in size or not can be determined, and whether the size of the fragmentation window needs to be adjusted or not can be determined. If the matrix element values of all matrix elements covered by the fragment window are set values, the size of the established fragment window needs to be dynamically adjusted, so that the actual width of the exploration line is zoomed through the fragment window; if the matrix element values of all matrix elements covered by the fragmentation window are not uniform to be set values, the established fragmentation window is appropriate in size, and the widths of the four edges or lines do not exceed the size of the fragmentation window.

Step S305, enlarging the size of the slicing window to (n +1) × (n +1), and skipping to step S304;

and (3) under the condition that the matrix element values of all matrix elements covered by the fragment window are judged to be set values, the size of the expanded fragment window is (n +1) × (n +1), and the step S304 is skipped, wherein the expanded fragment window is still established by taking the starting point matrix element as the center.

For example, initially, the size of the slice window is 1 × 1, the first matrix element of the gray-scale value distribution density matrix is included, and then, the step S304 is executed by skipping; the size of the expanded fragment window is 2 × 2, and the expanded fragment window includes 4 matrix elements, where one matrix element is the first matrix element of the gray-scale value distribution density matrix, and if it is determined that the matrix element values of all the matrix elements covered by the fragment window are set values, the size of the expanded fragment window is continuously expanded to 3 × 3, which is only an example here and does not have any limiting function.

And step S306, moving the slicing window according to the step length.

Under the condition that the matrix element values of all matrix elements covered by the slicing window are judged to be uneven to be set values, the slicing window can be moved according to the step length, and the step length is set to be 1, so that the data type of the image data can be accurately judged.

As shown in fig. 3C, step S306 further includes steps S3061-S3063:

step S3061, if the matrix element values of all matrix elements covered by the slicing window are not set values, the slicing window is moved along the preset traversal direction according to the step length, and the step S304 is skipped.

Specifically, the matrix element values of all matrix elements covered by the fragment window are not uniform, specifically, the matrix element values of all matrix elements covered by the fragment window are not the set values, in this case, it is described that the starting point matrix element determined in step S303 is not a starting point of four edges or lines or character strokes, the fragment window needs to be moved along the preset traversal direction according to the step length to find and determine the starting point of the four edges or lines or character strokes, and the size of the fragment window at this time is still 1 x 1.

For example, the predetermined traversal direction determined in step S303 is a horizontal traversal, the initial traversed start matrix element is a first matrix element of the gray-scale value distribution density matrix, and it is determined by determining that the matrix element value of the matrix element is not the set value, the fragmentation window is moved horizontally according to the step length, the fragmentation window is moved to a second matrix element position in the first row, then step S304 is executed by skipping, if the matrix element value of the second matrix element is not the set value, the fragmentation window is moved continuously, if the matrix element value of the set value is not found after the first row traversal is finished, the traversal is continued from the first matrix element in the second row until the matrix element value of the set value is found, and step S305 is executed by skipping.

Step S3062, if the matrix element values of all the matrix elements covered by the slicing window comprise a set value and a non-set value, judging whether the matrix element value of at least one matrix element in the preset adjacent direction of the slicing window is the set value; if yes, go to step S3063; if not, go to step S307.

And under the condition that the matrix element values of all matrix elements covered by the fragmentation window comprise a set value and a non-set value, judging whether the matrix element value of at least one matrix element in the preset adjacent direction of the fragmentation window is the set value. Determining whether to continue moving the fragment window by judging whether the matrix element value of at least one matrix element in the preset adjacent direction of the fragment window is a set value, if the matrix element value of at least one matrix element in the preset adjacent direction of the fragment window is the set value, moving the fragment window along the preset adjacent direction according to the step length, if the matrix element value of any matrix element in the preset adjacent direction of the fragment window is not the set value, not continuing to move the fragment window, and skipping to execute step S307.

Fig. 3D is a schematic diagram of a gray-scale value distribution density matrix when the matrix element value of at least one matrix element in the preset adjacent direction of the fragment window is a set value, the dashed frame in fig. 3D is the fragment window, and when it is determined that the matrix element values of all matrix elements covered by the fragment window include a set value and a non-set value, the matrix element value of at least one matrix element (the matrix element adjacent to the fragment window in the direction indicated by the arrow) in the preset adjacent direction of the fragment window is found to be the set value by judgment, the fragment window is moved in the preset adjacent direction according to the step length, and the same judgment processing is continued until the matrix element value of any matrix element in the preset adjacent direction of the fragment window is not the set value.

Fig. 3E is a schematic diagram of a gray scale value distribution density matrix when the matrix element values of any matrix element in the preset adjacent directions of the fragment window are not the set values, the dashed frame in fig. 3E is the fragment window, and step S307 is executed by determining that the matrix element values of any matrix element (the matrix element adjacent to the fragment window in the direction indicated by the arrow) in the preset adjacent directions of the fragment window (the directions indicated by the two arrows are the preset adjacent directions of the fragment window) are not the set values.

And step S3063, moving the slicing window along the preset adjacent direction according to the step length, and skipping to the step S3062.

For example, if the matrix element value of at least one matrix element in the transverse direction of the fragmentation window is the set value, the fragmentation window is moved along the transverse direction according to the step length; and if the matrix element value of at least one matrix element in the longitudinal direction of the slicing window is a set value, moving the slicing window along the longitudinal direction according to the step length.

Step S307, counting the number of matrix elements with the matrix element values traversed by the fragment window as set values, if a preset condition is met, ending traversal, and skipping to execute step S308; otherwise, the traversal fails, the step S303 is skipped until all matrix elements are traversed, and the skipping is executed at step S309.

If the matrix element value of any matrix element in the preset adjacent direction of the fragment window is not the set value, the fragment window is not moved continuously, but the number of matrix elements with the matrix element value as the set value traversed by the fragment window is counted, wherein the counted number is the number of the set matrix elements with the matrix element value continuous in the transverse direction or the longitudinal direction. If the counted number meets the preset condition, ending the traversal, and skipping to execute the step S308; and if the counted number does not meet the preset condition, the traversal is considered to be failed, the step S303 is skipped until all the matrix elements are traversed, and the step S309 is skipped to execute.

In an alternative embodiment, the traversed origin matrix elements may be determined by: determining a first matrix element of a gray-scale value distribution density matrix as a starting matrix element of initial traversal, wherein a preset traversal direction is transverse traversal or longitudinal traversal, the initial size of a fragmentation window is 1 x 1, for example, transverse traversal is started from the first matrix element, if matrix element values of all matrix elements covered by the fragmentation window are not set values, the fragmentation window is transversely moved to a second matrix element, traversal is performed line by line, and the next row of first elements continues traversal after each row of traversal is finished; in the process of executing the subsequent steps, there may be a case of traversal failure, after the traversal failure, the starting point matrix element of the current traversal may be determined according to the moving position of the fragment window in the previous traversal process, which is described with reference to fig. 3E, and when the fragment window is at the position in fig. 3E, the traversal failure needs to be determined again, specifically, the starting point matrix element may be determined with reference to the preset traversal direction and the moving position of the fragment window in the previous traversal process, for example, if the initial preset traversal direction is horizontal traversal, the matrix element adjacent to the upper-right matrix element in the fragment window is determined as the starting point matrix element of the current traversal.

Step S308, determining that the image data to be displayed is image data, and adopting a complete refresh mode as a refresh mode of the image data to be displayed.

If the number of matrix elements with the matrix element values as the set values traversed by the statistical fragment window in step S307 meets the preset condition, where the preset condition is that the number of matrix elements with the continuous matrix element values as the set values is greater than or equal to a preset threshold, it is determined that the image data to be displayed is image-like data, and a complete refresh mode is adopted as a refresh mode of the image data to be displayed. The reason why the fast refresh mode is not adopted as the refresh mode of the image data to be displayed is that for image data, the fast refresh mode has more serious afterimage and seriously affects the image quality, and the problem of afterimage can be overcome by adopting the complete refresh mode as the refresh mode of the image data to be displayed.

Step S309, determining that the image data to be displayed is character data, and adopting a fast refresh mode as a refresh mode of the image data to be displayed.

If the number of the matrix elements with the matrix element values as the set values traversed by the statistical fragment window in the step S307 does not meet the preset condition, the traversal fails, and the step S303 is skipped until all the matrix elements are traversed and the traversal fails, so that it can be determined that the image data to be displayed is character data.

Step S310, refreshing the image data to be displayed according to the determined refreshing mode.

In an optional implementation manner of the above method embodiment, it is likely that the continuously read image data is text data, that is, the image data is refreshed by continuously adopting the fast refresh mode for a plurality of times, and under a normal condition, the image data is refreshed by continuously adopting the fast refresh mode for a plurality of times, and the afterimage is accumulated, therefore, after the image data is refreshed by continuously adopting the fast refresh mode for a plurality of times, the image data needs to be refreshed by adopting a complete refresh mode for one time, in order to improve the reading experience of the user, before the refresh mode of the image data to be displayed is determined according to the type identification result, it needs to first judge whether the accumulated refresh frequency of the fast refresh mode exceeds an accumulated threshold, for example, the accumulated threshold is set to 5, the accumulated threshold can be flexibly set, and when the accumulated threshold is set to be larger, the serious afterimage is easily accumulated when the accumulated threshold is not, the reading experience of a user is influenced, when the accumulated threshold is set to be small, the number of times of refreshing in a refreshing mode is increased, the number of times of flashing is increased, and the refreshing speed is reduced, so that the accumulated threshold is preferably set to be 5; if yes, the accumulated ghost is indicated, and a complete refreshing mode is required to be adopted as a refreshing mode of the image data to be displayed to eliminate the ghost; if not, determining the refresh mode of the image data to be displayed according to the type identification result.

According to the scheme provided by the invention, when the image data to be displayed of the next frame is refreshed, the refreshing is not carried out according to the traditional refreshing method, but the data type of the image data to be displayed is fully considered, the data type of the image data is identified by traversing the established gray-scale value distribution density matrix, and the traversing mode is adjusted by dynamically zooming the fragment window, so that the calculated amount can be reduced, the calculation resources are saved, if the image data to be displayed is character data, the refreshing processing is carried out on the image data to be displayed by adopting a quick refreshing mode, the refreshing speed can be improved, the problem of ghost can not occur, and the number of times of flashing can be reduced; if the image data to be displayed is image data, the image data to be displayed is refreshed in a complete refreshing mode, the problem of ghost shadow can be solved, the overall refreshing effect of the reader is improved, and the user experience is improved.

The embodiment of the invention also provides a nonvolatile computer storage medium, wherein the computer storage medium stores at least one executable instruction, and the computer executable instruction can execute the reader refreshing method in any method embodiment.

The executable instructions may be specifically configured to cause the processor to:

reading the image data to be displayed of the next frame; establishing a gray-scale value distribution density matrix according to the gray-scale value of each pixel point in the image data to be displayed, wherein any matrix element value is the gray-scale value of the corresponding pixel point; traversing matrix elements with matrix element values as set values in the gray-scale value distribution density matrix, and searching whether at least one matrix element with a plurality of continuous matrix element values as set values in a specific direction exists; determining a type identification result of the image data to be displayed according to the search result; and determining a refresh mode of the image data to be displayed according to the type identification result, and refreshing the image data to be displayed according to the determined refresh mode.

In an alternative embodiment, the executable instructions further cause the processor to:

if matrix elements with a plurality of continuous matrix element values in at least one specific direction as set values are found, determining image data to be displayed as image data;

and if the matrix elements with a plurality of continuous matrix element values in at least one specific direction as set values are not found, determining that the image data to be displayed is character data.

if the image data to be displayed is character data, adopting a quick refreshing mode as a refreshing mode of the image data to be displayed;

and if the image data to be displayed is image data, adopting a complete refreshing mode as a refreshing mode of the image data to be displayed.

In an alternative embodiment, the executable instructions further cause the processor to: before determining the refresh mode of the image data to be displayed according to the type identification result, judging whether the accumulated refresh times of the fast refresh mode exceeds an accumulated threshold value; if so, adopting a complete refreshing mode as a refreshing mode of the image data to be displayed; if not, determining the refresh mode of the image data to be displayed according to the type identification result.

In an alternative embodiment, the executable instructions further cause the processor to: traversing matrix elements with matrix element values as set values in the gray-scale value distribution density matrix; establishing a fragmentation window by taking the matrix elements as the center, wherein the size of the fragmentation window is 1 x 1, and the unit is the matrix elements; moving the fragment window along any specific direction according to the step length, and if the matrix element value of the matrix element covered by the fragment window is a set value, continuing to move the fragment window in the specific direction until the matrix element value of the matrix element covered by the fragment window is no longer the set value; repeatedly executing the step until the specific directions are traversed; and searching whether at least one matrix element with m continuous matrix element values in a specific direction as set values exists, wherein m is greater than or equal to a preset threshold value.

step S1, determining the starting point matrix elements and the preset traversal direction of traversal, establishing a fragmentation window with the size of n x n, assigning n to be 1, and taking the unit of n as the matrix elements;

step S2, judging whether the matrix element values of all matrix elements covered by the slicing window are set values, if yes, executing step S3; if not, go to step S4;

step S3, enlarging the size of the tile window to (n +1) × (n +1), and going to step S2;

step S4, moving the slicing window according to the step length;

step S5, counting the number of matrix elements with the matrix element value as the set value traversed by the fragment window, and if the preset condition is met, ending the traversal; otherwise, the traversal fails, and the step S1 is skipped.

step S41, if the matrix element values of all matrix elements covered by the slicing window are not the set values, the slicing window is moved along the preset traversal direction according to the step length, and the step S2 is skipped;

step S42, if the matrix element values of all matrix elements covered by the slicing window include a set value and a non-set value, judging whether the matrix element value of at least one matrix element in the preset adjacent direction of the slicing window is the set value; if yes, go to step S43; if not, step S5 is executed.

And step S43, moving the slicing window along the preset adjacent direction according to the step length, and jumping to step S42.

determining a starting point matrix element of initial traversal as a first matrix element of a gray-scale value distribution density matrix;

and after the traversal fails, determining the starting point matrix element of the traversal according to the moving position of the fragment window in the previous traversal process.

Fig. 4 is a schematic structural diagram of a computing device according to an embodiment of the present invention, and the specific embodiment of the present invention does not limit the specific implementation of the computing device.

As shown in fig. 4, the computing device may include: a processor (processor)402, a Communications Interface 404, a memory 406, and a Communications bus 408.

Wherein: the processor 402, communication interface 404, and memory 406 communicate with each other via a communication bus 408.

A communication interface 404 for communicating with network elements of other devices, such as clients or other servers.

The processor 402 is configured to execute the program 410, and may specifically execute the relevant steps in the above-described reader refresh method embodiment.

In particular, program 410 may include program code comprising computer operating instructions.

The processor 402 may be a central processing unit CPU, or an application specific Integrated circuit asic, or one or more Integrated circuits configured to implement an embodiment of the present invention. The computing device includes one or more processors, which may be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.

And a memory 406 for storing a program 410. Memory 406 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.

The program 410 may specifically be configured to cause the processor 402 to perform the following operations:

reading the image data to be displayed of the next frame;

In an alternative embodiment, program 410 further causes processor 402 to:

before determining the refresh mode of the image data to be displayed according to the type identification result, judging whether the accumulated refresh times of the fast refresh mode exceeds an accumulated threshold value;

if so, adopting a complete refreshing mode as a refreshing mode of the image data to be displayed;

if not, determining the refresh mode of the image data to be displayed according to the type identification result.

In an alternative embodiment, program 410 further causes processor 402 to:

traversing matrix elements with matrix element values as set values in the gray-scale value distribution density matrix;

establishing a fragmentation window by taking the matrix elements as the center, wherein the size of the fragmentation window is 1 x 1, and the unit is the matrix elements;

moving the fragment window along any specific direction according to the step length, and if the matrix element value of the matrix element covered by the fragment window is a set value, continuing to move the fragment window in the specific direction until the matrix element value of the matrix element covered by the fragment window is no longer the set value; repeatedly executing the step until the specific directions are traversed;

and searching whether at least one matrix element with m continuous matrix element values in a specific direction as set values exists, wherein m is greater than or equal to a preset threshold value.

In an alternative embodiment, program 410 further causes processor 402 to:

step S4, moving the slicing window according to the step length;

In an alternative embodiment, program 410 further causes processor 402 to:

In an alternative embodiment, program 410 further causes processor 402 to: determining a starting point matrix element of initial traversal as a first matrix element of a gray-scale value distribution density matrix; and after the traversal fails, determining the starting point matrix element of the traversal according to the moving position of the fragment window in the previous traversal process.

The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.

In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.

Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the invention and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.

Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.

Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.

The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components according to embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.

It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specified otherwise.

The invention discloses: A1. a reader refresh method, comprising:

reading the image data to be displayed of the next frame;

traversing matrix elements with matrix element values as set values in the gray-scale value distribution density matrix, and searching whether a plurality of continuous matrix elements with matrix element values as set values in at least one specific direction exist;

determining the type identification result of the image data to be displayed according to the search result;

A2. The method according to a1, wherein the determining the type identification result of the image data to be displayed according to the search result further comprises:

if matrix elements with a plurality of continuous matrix element values in at least one specific direction as set values are found, determining the image data to be displayed as image data;

A3. The method according to a2, wherein the determining the refresh mode of the image data to be displayed according to the type recognition result further comprises:

A4. The method of any one of a1-A3, wherein, prior to the determining, from the type recognition result, a refresh mode of the image data to be displayed, the method further comprises:

judging whether the accumulated refreshing times of the quick refreshing mode exceed an accumulated threshold value or not;

and if not, executing the step of determining the refresh mode of the image data to be displayed according to the type identification result.

A5. The method according to any of the claims a1-a4, wherein said traversing matrix elements whose matrix element values are set values in said gray-scale value distribution density matrix, finding if there are several consecutive matrix elements whose matrix element values are set values in at least one specific direction further comprises:

establishing a fragmentation window by taking matrix elements as a center, wherein the size of the fragmentation window is 1 x 1, and the unit is the matrix elements;

A6. The method according to any of the claims a1-a4, wherein said traversing matrix elements whose matrix element values are set values in said gray-scale value distribution density matrix, finding if there are several consecutive matrix elements whose matrix element values are set values in at least one specific direction further comprises:

step S4, moving the slicing window according to the step length;

A7. The method of a6, wherein the step S4 further includes:

step S41, if the matrix element values of all matrix elements covered by the slicing window are not the set values, moving the slicing window along the preset traversal direction according to the step length, and jumping to the step S2;

step S42, if the matrix element values of all matrix elements covered by the slicing window include a set value and a non-set value, judging whether the matrix element value of at least one matrix element in the preset adjacent direction of the slicing window is a set value; if yes, go to step S43; if not, step S5 is executed.

A8. The method of a6, wherein the determining the traversal start matrix elements further comprises:

determining a starting point matrix element of the initial traversal as a first matrix element of the gray-scale value distribution density matrix;

B9. A computing device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;

the memory is configured to store at least one executable instruction that causes the processor to:

reading the image data to be displayed of the next frame;

B10. The computing device of B9, wherein the executable instructions further cause the processor to:

B11. The computing device of B10, wherein the executable instructions further cause the processor to:

B12. The computing device of any one of B9-B11, wherein the executable instructions further cause the processor to:

before determining the refresh mode of the image data to be displayed according to the type identification result, judging whether the accumulated refresh times of the quick refresh mode exceeds an accumulated threshold value;

B13. The computing device of any one of B9-B12, wherein the executable instructions further cause the processor to:

B14. The computing device of any one of B9-B11, wherein the executable instructions further cause the processor to:

step S4, moving the slicing window according to the step length;

B15. The computing device of B14, wherein the executable instructions further cause the processor to:

B16. The computing device of B14, wherein the executable instructions further cause the processor to:

C17. A computer storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to:

reading the image data to be displayed of the next frame;

C18. The computer storage medium of C17, wherein the executable instructions further cause the processor to:

C19. The computer storage medium of C18, wherein the executable instructions further cause the processor to:

C20. The computer storage medium of any one of C17-C19, wherein the executable instructions further cause the processor to:

C21. The computer storage medium of any of C17-C20, wherein the executable instructions further cause the processor to:

C22. The computer storage medium of any of C17-C20, wherein the executable instructions further cause the processor to:

step S4, moving the slicing window according to the step length;

C23. The computer storage medium of C22, wherein the executable instructions further cause the processor to:

C24. The computer storage medium of C22, wherein the executable instructions further cause the processor to:

Claims

1. A reader refresh method, comprising:

reading the image data to be displayed of the next frame;

2. The method of claim 1, wherein the determining a type identification result of the image data to be displayed according to the search result further comprises:

3. The method of claim 2, wherein the determining a refresh mode of the image data to be displayed according to the type recognition result further comprises:

4. The method according to any one of claims 1-3, wherein prior to said determining a refresh mode of said image data to be displayed according to a type recognition result, the method further comprises:

5. The method according to any one of claims 1-4, wherein said traversing the matrix element with a set value of the matrix element value in the gray-scale value distribution density matrix, and finding whether there are a number of consecutive matrix element with a set value of the matrix element value in at least one specific direction further comprises:

6. The method according to any one of claims 1-4, wherein said traversing the matrix element with a set value of the matrix element value in the gray-scale value distribution density matrix, and finding whether there are a number of consecutive matrix element with a set value of the matrix element value in at least one specific direction further comprises:

step S4, moving the slicing window according to the step length;

7. The method of claim 6, wherein the step S4 further comprises:

8. The method of claim 6, wherein the determining a traversal start matrix element further comprises:

9. A computing device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;

reading the image data to be displayed of the next frame;

10. A computer storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to:

reading the image data to be displayed of the next frame;