CN111028139B - A method and system for expanding bitmap points - Google Patents

Abstract

The invention provides a method for expanding image points, which includes the following steps: Step 1: According to a predetermined expansion coefficient, perform a translation operation on the coordinates of corresponding pixel points in the image point matrix to be expanded to form multiple new matrices and Obtain the coordinates of all points in each new matrix; step two, obtain the distance relationship between each pixel in the new matrix and the four corner pixels, and calculate based on the color grayscale values of the four corner pixels to obtain all The color gray value of each pixel is described; step three is to combine the expanded image based on the color gray value of all points in all new matrices. The invention also provides a corresponding system. By implementing the present invention, the points of the bitmap can be automatically increased, thereby improving the clarity of the image.

Description

A method and system for expanding bitmap points

Technical field

The present invention relates to the technical field of image processing, specifically a method and system for expanding bitmap points.

Background technique

In computing software, in some cases, matrix data needs to be depicted as an image. However, because the matrix contains less data, the depicted image is not clear. In this case, the clarity of the image needs to be improved.

In the existing technology, the image needs to be imported into specific software, such as photoshop, Meitu Xiuxiu, Alien SkinExposure, and other software to perform secondary processing on the image. However, these existing methods require manually importing images into related software for secondary processing, or integrating other software into new projects. The implementation is complex, the technical requirements are large, or the expansion effect is poor.

Contents of the invention

The technical problem to be solved by the present invention is to provide a method and system for expanding the points of a bitmap, which can automatically increase the points of the bitmap, thereby improving the clarity of the image.

In order to solve the above technical problems, one aspect of the present invention provides a method for expanding image points, which includes the following steps:

Step 1: According to the predetermined expansion coefficient, perform a translation operation on the coordinates of each original pixel point in the image point matrix to be expanded except the origin, so that the four adjacent pixel points in the image point matrix to be expanded are located at On the four corners of the expanded new matrix, assign the grayscale values of the original four pixels to the pixels at the four corners of the new matrix to obtain the coordinates of all points of each new matrix;

Step 2: Obtain the distance relationship between each pixel in the new matrix except the four corner pixels and the four corner pixels, based on the distance relationship and the color grayscale of the four corner pixels. Calculate the value to obtain the color gray value of each pixel;

Step 3: Combine the color and grayscale values of all points of all new matrices to form an expanded image.

Preferably, said step one further includes:

According to the predetermined expansion coefficient, obtain the X-axis translation distance and Y-axis translation distance of each adjacent four original pixel points;

The coordinates of each original pixel point except the origin are translated in the X-axis or/and Y-axis direction according to the X-axis translation distance and the Y-axis translation distance.

Preferably, said step two further includes:

The distance relationship between each pixel in the new matrix except the four corner pixels and the four corner pixels is obtained according to the following formula:

Among them, M is any pixel in the new matrix, A, B, C _, and D are the four corner pixels; X _MA , X _MB , X _MC , and The position coefficients of four points D; L _MA , L _MB , L _MC , and L _MD are the distances from point M to four points A, B, C, and D respectively;

Calculate the color gray value of each pixel according to the following formula:

M _RGB =X _MA ×A _RGB +X _MB ×B _RGB +X _MC ×C _RGB +X _MD ×D _RGB

Among them, M _RGB , A _RGB , B _RGB , C _RGB , and D _RGB are the color grayscale values of M, A, B, C, and D respectively.

Correspondingly, the present invention also provides a system for expanding image points, which includes:

The expansion translation unit is used to perform a translation operation on the coordinates of each original pixel point in the image point matrix to be expanded except the origin according to a predetermined expansion coefficient, so that the four adjacent pixel points in the image point matrix to be expanded are The pixels are located at the four corners of the expanded new matrix. The gray values of the original four pixels are assigned to the pixels at the four corners of the new matrix to obtain the coordinates of all points of each new matrix. ;

A gray value calculation unit, used to obtain the distance relationship between each pixel in the new matrix except the four corner pixels and the four corner pixels, based on the distance relationship and the four corner pixels Calculate the color grayscale value of the point to obtain the color grayscale value of each pixel;

The extended image forming unit is configured to combine the color grayscale values of all points of all new matrices obtained by the grayscale value calculation unit to form an expanded image.

Preferably, the extended translation unit further includes:

The balance distance obtaining subunit is used to obtain the X-axis translation distance and Y-axis translation distance of each adjacent four original pixel points according to the predetermined expansion coefficient;

The translation processing subunit is used to translate the coordinates of each original pixel point except the origin in the X-axis or/and Y-axis direction according to the X-axis translation distance and the Y-axis translation distance.

Preferably, the gray value calculation unit further includes:

The distance relationship acquisition subunit is used to obtain the distance relationship between each pixel in the new matrix except the four corner pixels and the four corner pixels according to the following formula:

Among them, M is any pixel in the new matrix, A, B, C _, and D are the four corner pixels; X _MA , X _MB , X _MC , and The position coefficients of four points D; L _MA , L _MB , L _MC , and L _MD are the distances from point M to four points A, B, C, and D respectively;

The calculation subunit is used to calculate the color gray value of each pixel according to the following formula:

M _RGB =X _MA ×A _RGB +X _MB ×B _RGB +X _MC ×C _RGB +X _MD ×D _RGB

Among them, M _RGB , A _RGB , B _RGB , C _RGB , and D _RGB are the color grayscale values of M, A, B, C, and D respectively.

Implementing the embodiments of the present invention has the following beneficial effects:

The method and system for expanding bitmap points provided by the present invention can expand the points of the matrix according to a certain proportion, increase the points of the matrix, and improve the clarity of the generated picture.

The invention has the characteristics of simple operation and short time consumption. After the original matrix data comes out, it can automatically expand the original points to perform secondary processing on the data, and the processing speed is fast.

Description of drawings

Figure 1 is a schematic diagram of the main flow of the method for extending bitmap points provided by the present invention;

Figure 2 is a schematic diagram of the matrix translation involved in step S10 of Figure 1;

Figure 3 is a schematic structural diagram of a system for extending bitmap points provided by the present invention;

Figure 4 is a schematic structural diagram of the extended translation unit in Figure 3;

Figure 5 is a schematic structural diagram of the gray value calculation unit in Figure 3.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, rather than all the embodiments.

In order to enable those of ordinary skill in the art to more clearly understand the purpose, technical solutions and advantages of the invention, the invention will be further described below in conjunction with the accompanying drawings and examples.

As shown in Figure 1, a schematic main flow diagram of a method for expanding image points provided by the present invention is shown. In this embodiment, the method includes the following steps:

Step S10, according to the predetermined expansion coefficient, perform a translation operation on the coordinates of each original pixel point in the image point matrix to be expanded except the origin, so that the four adjacent pixel points in the image point matrix to be expanded are located at On the four corners of the expanded new matrix, assign the grayscale values of the original four pixels to the pixels at the four corners of the new matrix to obtain the coordinates of all points of each new matrix;

This step S10 further includes: obtaining the X-axis translation distance and Y-axis translation distance of each adjacent four original pixel points according to the predetermined expansion coefficient;

The coordinates of each original pixel point except the origin are translated in the X-axis or/and Y-axis direction according to the X-axis translation distance and the Y-axis translation distance.

For ease of understanding, the following is an example. Specifically, in one example, the original matrix is n*n and needs to be expanded into a new matrix of m*m (m>n). For ease of understanding, Take n as 2 and m as 4; please refer to Figure 2 for the matrix diagram before and after expansion;

Among them, A, B, C, and D are four adjacent points of the original matrix. After expansion, M is any point of the expanded matrix. The color of point M needs to be determined based on the colors of A, B, C, and D (according to the distance to determine the proportion).

Point M represents any point within the rectangle between the four points A, B, C, and D.

First define the coordinates of the four points A, B, C, and D in the original matrix. It can be understood that the coordinate axes can take many forms. In an example, if the coordinate axes are used here, see Figure 2. Point A serves as the origin. Define the Ao point as (0, 0), Bo (1, 0), the Co point as (1, 1), and the Do point as (0, 1) in sequence, that is, the A point is Ax=0 and Ay=0. Here A, B, C, and D are the coordinates before expansion, so the o mark added below each is the coordinate before expansion.

In the original matrix, the coordinates of each point: Ao point is (0, 0), Bo (1, 0), Co point is (1, 1), and Do point is (0, 1). At this time, the coordinates of each point in the expanded new matrix are: point A is (0, 0), point B (3, 0), point C is (3, 3), and point D is (0, 3).

In this way, the coordinates of each point after translation can be obtained in turn. For example, in other examples, if the coordinates of each point in the original matrix are: Ao point is (1, 0), Bo (2, 0), Co point is (2, 1 ), Do point is (1, 1). Then the expanded coordinates are: point A is (3, 0), point B (6, 0), point C is (6, 3), and point D is (3, 3).

According to this method, the coordinates of all points in the new matrix can be obtained.

Step S11, obtain the distance relationship from each pixel in the new matrix except the four corner pixels to the four corner pixels, based on the distance relationship and the color grayscale of the four corner pixels. Calculate the value to obtain the color gray value of each pixel;

Specifically, the distance relationship between each pixel in the new matrix except the four corner pixels and the four corner pixels is obtained according to the following formula:

Among them, M is any pixel in the new matrix, A, B, C _, and D are the four corner pixels; X _MA , X _MB , X _MC , and The position coefficients of four points D; L _MA , L _MB , L _MC , and L _MD are the distances from point M to four points A, B, C, and D respectively; among them, the distance can be calculated from the coordinates of the two points, here The position system X _MA uses the ratio of the distance from point M to point A to the total distance from point M to points A, B, C, and D;

Calculate the color gray value of each pixel according to the following formula:

M _RGB =X _MA ×A _RGB +X _MB ×B _RGB +X _MC ×C _RGB +X _MD ×D _RGB

Among them, M _RGB , A _RGB , B _RGB , C _RGB , and D _RGB are the color grayscale values of M, A, B, C, and D respectively.

Step S13: Combine the color and grayscale values of all points of all new matrices to form an expanded image.

It can be understood that by combining all the new matrices, an expanded image can be formed.

Correspondingly, as shown in Figure 3, a schematic structural diagram of a system for expanding image points provided by the present invention is shown. In this embodiment, the method 1 includes:

The expansion translation unit 10 is configured to perform a translation operation on the coordinates of each original pixel point in the image point matrix to be expanded except the origin according to a predetermined expansion coefficient, so that the adjacent four pixels in the image point matrix to be expanded are pixels are located at the four corners of the expanded new matrix, assign the grayscale values of the original four pixels to the pixels at the four corners of the new matrix, and obtain the gray value of all points of each new matrix. coordinate;

The gray value calculation unit 11 is used to obtain the distance relationship between each pixel in the new matrix except the four corner pixels and the four corner pixels. According to the distance relationship and the four corner pixels, Calculate the color grayscale value of the pixel point to obtain the color grayscale value of each pixel point;

The expanded image forming unit 12 is configured to combine and form an expanded image based on the color grayscale values of all points of all new matrices obtained by the grayscale value calculation unit.

In some specific examples, the extended translation unit 10 further includes:

The balance distance obtaining subunit 100 is used to obtain the X-axis translation distance and Y-axis translation distance of each adjacent four original pixel points according to the predetermined expansion coefficient;

The translation processing subunit 101 is configured to translate the coordinates of each original pixel point except the origin in the X-axis or/and Y-axis direction according to the X-axis translation distance and the Y-axis translation distance.

In some specific examples, the gray value calculation unit 11 further includes:

The distance relationship obtaining subunit 110 is used to obtain the distance relationship from each pixel in the new matrix except the four corner pixels to the four corner pixels according to the following formula:

Among them, M is any pixel in the new matrix, A, B, C _, and D are the four corner pixels; X _MA , X _MB , X _MC , and The position coefficients of four points D; L _MA , L _MB , L _MC , and L _MD are the distances from point M to four points A, B, C, and D respectively;

The calculation subunit 111 is used to calculate the color gray value of each pixel according to the following formula:

M _RGB =X _MA ×A _RGB +X _MB ×B _RGB +X _MC ×C _RGB +X _MD ×D _RGB

Among them, M _RGB , A _RGB , B _RGB , C _RGB , and D _RGB are the color grayscale values of M, A, B, C, and D respectively.

For more details, please refer to the aforementioned description of Figures 1 and 2 and will not be described again here.

In some examples, the system for expanding image points can be automatically implemented using software. The following is the core source program implemented using Java:

Implementing the embodiments of the present invention has the following beneficial effects:

The method and system for expanding bitmap points provided by the present invention can expand the points of the matrix according to a certain proportion, increase the points of the matrix, and improve the clarity of the generated picture.

The invention has the characteristics of simple operation and short time consumption. After the original matrix data comes out, it can automatically expand the original points to perform secondary processing on the data, and the processing speed is fast.

The above are only preferred specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person familiar with the technical field can, within the technical scope disclosed in the present invention, implement the technical solutions of the present invention. Equivalent substitutions or changes of the inventive concept thereof shall be included in the protection scope of the present invention.

Claims (4)

1. A method of expanding image points, comprising the steps of:

performing translation operation on the coordinates of each original pixel point except the original point in the image point matrix to be expanded according to a preset expansion coefficient, enabling four adjacent pixel points in the image point matrix to be expanded to be positioned at four corners of a new matrix after expansion, and assigning gray values of the original four pixel points to the pixel points at four corners of the new matrix to obtain the coordinates of all points of each new matrix;

step two, obtaining the distance relation from each pixel point to the four corner pixel points except the four corner pixel points in the new matrix, and calculating according to the distance relation and the color gray values of the four corner pixel points to obtain the color gray value of each pixel point;

combining to form an expanded image according to the color gray values of all points of all the new matrixes;

wherein, step two further includes:

the distance relation between each pixel point except four corner pixel points in the new matrix and the four corner pixel points is obtained according to the following formula:

wherein M is any pixel point in the new matrix, and A, B, C, D is four corner pixel points; x is X _MA 、X _MB 、X _MC 、X _MD The position coefficients of the M points to the A, B, C, D points are respectively; l (L) _MA 、L _MB 、L _MC 、L _MD The distances from the M point to the A, B, C, D point are respectively;

calculating the color gray value of each pixel according to the following formula:

M _RGB ＝X _MA ×A _RGB +X _MB ×B _RGB +X _MC ×C _RGB +X _MD ×D _RGB

wherein M is _RGB 、A _RGB 、B _RGB 、C _RGB 、D _RGB Respectively M, A, B, C, D.

2. The method of claim 1, wherein step one further comprises:

according to the preset expansion coefficient, obtaining X-axis translation distances and Y-axis translation distances of every two adjacent four original pixel points;

and translating the coordinates of each original pixel point except the original point in the X-axis or/and Y-axis direction according to the X-axis translation distance and the Y-axis translation distance.

3. A system for expanding image points, comprising:

the expansion translation unit is used for carrying out translation operation on the coordinates of each original pixel point except the original point in the image point position matrix to be expanded according to a preset expansion coefficient, so that four adjacent pixel points in the image point position matrix to be expanded are positioned at four corners of the new matrix after expansion, and gray values of the four original pixel points are assigned to the pixel points at four corners of the new matrix to obtain the coordinates of all points of each new matrix;

the gray value calculation unit is used for obtaining the distance relation between each pixel point except four corner pixel points in the new matrix and the four corner pixel points, and calculating according to the distance relation and the color gray values of the four corner pixel points to obtain the color gray value of each pixel point;

an extended image forming unit for combining the color gray values of all points of all the new matrices obtained by the gray value calculating unit to form an extended image;

wherein the gradation value calculation unit further includes:

a distance relation obtaining subunit, configured to obtain a distance relation from each pixel point except for four corner pixel points in the new matrix to the four corner pixel points according to the following formula:

wherein M is any pixel point in the new matrix, and A, B, C, D is four corner pixel points; x is X _MA 、X _MB 、X _MC 、X _MD The position coefficients of the M points to the A, B, C, D points are respectively; l (L) _MA 、L _MB 、L _MC 、L _MD The distances from the M point to the A, B, C, D point are respectively;

a calculating subunit, configured to calculate a color gray value of each pixel according to the following formula:

M _RGB ＝X _MA ×A _RGB +X _MB ×B _RGB +X _MC ×C _RGB +X _MD ×D _RGB

wherein M is _RGB 、A _RGB 、B _RGB 、C _RGB 、D _RGB Respectively M, A, B, C, D.

4. The system of claim 3, wherein the expansion translation unit further comprises:

a balance distance obtaining subunit, configured to obtain X-axis translation distances and Y-axis translation distances of each adjacent four original pixel points according to the predetermined expansion coefficient;

and the translation processing subunit is used for translating the coordinates of each original pixel point except the original point in the X-axis or/and Y-axis direction according to the X-axis translation distance and the Y-axis translation distance.