CN112488941A - Method for optimizing picture display effect - Google Patents

Method for optimizing picture display effect Download PDF

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CN112488941A
CN112488941A CN202011372613.XA CN202011372613A CN112488941A CN 112488941 A CN112488941 A CN 112488941A CN 202011372613 A CN202011372613 A CN 202011372613A CN 112488941 A CN112488941 A CN 112488941A
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张玉国
苏家仪
姚姿娜
梁骁
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Guangxi Talentcloud Information Technology Co ltd
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Abstract

A method for optimizing picture display effect includes carrying out average gray level processing on a picture, traversing pixel points of the current picture, generating a matrix table corresponding to the current picture, calculating weighted average value of current matrix points and modifying picture pixel values by taking the current matrix points as centers and taking a unit radius area surrounded by the matrix points as a reference range of the current matrix points; the method is a brand new method for processing the picture, mainly solves the problem of definition of the compressed picture, greatly improves the picture processing speed by combining a mathematical principle and a computer method, has obvious processing effect and obviously contributes to the technical development of the picture.

Description

Method for optimizing picture display effect
Technical Field
The invention relates to the technical field of computers, in particular to a method for optimizing picture display effect.
Background
The picture refers to a flat medium made of graphics, pictures, or the like. The formats of pictures are many, but the pictures can be generally divided into two categories, namely dot matrix graphics and vector graphics, the formats of BMP, JPG and the like are commonly used as dot matrix graphics, and the formats of SWF, CDR, AI and the like belong to vector graphics. There are forms of things we see, which are the general names of pictures, photographs, rubbings, etc. The drawing is a basic term in technical drawings, and refers to a form in which geometric features, forms, positions and sizes of things are depicted by points, lines, symbols, characters, numbers and the like. With the development of digital acquisition techniques and signal processing theory, more and more pictures are stored in digital form.
Bitmaps are composed of pixels (pixels), which are the smallest units of information of the bitmap, stored in a picture grid. Each pixel has a specific location and color value. The information of each pixel in the picture is recorded from left to right and from top to bottom, such as: the location of the pixel on the screen, the color of the pixel, etc. The quality of the bitmap picture is determined by how many pixels are within a unit length. The more pixels in the unit length, the higher the resolution, and the better the picture effect. The bitmap is also called as "bitmap picture", "dot matrix picture", "data picture" and "digital picture".
On the network, the picture is an indispensable part, and due to limited network resources and network traffic, the picture has to be compressed or cropped, so that the picture becomes blurred and unclear. The dot-matrix picture has the advantages that as long as enough pixels with different colors are available, colorful images can be made, and natural scenes can be vividly expressed. The disadvantage is that scaling and rotation are easily distorted, while the file size is large. In order to increase the transmission speed of the picture, the picture is generally compressed, the size of the file is reduced by compressing the picture, but the definition of the picture is correspondingly reduced, so that the display effect of the picture is influenced.
In the prior art, methods for sharpening pictures mainly exist, such as an edge method, a multi-picture superposition method, a residual error compensation method, a defocus blur kernel calculation method and the like, or the pictures are processed by means of equipment and instruments. However, none of the above methods is suitable for sharpening a picture that is blurred by compression or cropping.
Disclosure of Invention
In order to solve the above existing defects, the present invention provides a method for optimizing the picture display effect.
The technical scheme of the invention is as follows:
a method for optimizing picture display effect comprises the following steps:
(1) carrying out average gray level processing on the current picture;
(2) traversing the pixel points of the current picture after the average gray level processing, generating a matrix table corresponding to the current picture, wherein the matrix points of the matrix table store the information of the pixel points at the corresponding positions in the current picture;
the matrix points are a set, and the content of the set comprises actual coordinates, relative coordinates and pixel values;
(3) n unit radiuses formed by surrounding the current matrix point as the center and the matrix point
Figure RE-GDA0002895318870000021
As the reference range of the current matrix point; respectively calculating the unit radius in the reference range of the current matrix point
Figure RE-GDA0002895318870000022
Average pixel value D of upper matrix pointgObtaining the relative value B of the corresponding radius weight of the current matrix pointg(ii) a Summing the radius weight relative values of all matrix points to obtain a total pixel value C, and obtaining a weighted average value S of the current matrix point; the weighted average value S of the current matrix point is calculated according to the following formula:
Figure RE-GDA0002895318870000031
wherein n is a unit radius value, C is a total pixel value, and b is a bias term;
modifying the weighted average value S of the current matrix point to the pixel value of the pixel point on the picture position corresponding to the current matrix point;
(4) calculating the next matrix point of the matrix table, and repeating the steps (3) to (4);
(5) and when the picture is modified to the last pixel point of the picture, the picture is modified.
Further, a specific method for performing average gray level processing on the current picture is as follows:
Figure RE-GDA0002895318870000032
wherein, (i, j) is any actual coordinate in the current picture, gray (i, j) is a gray average value of the current picture at any actual coordinate (i, j), and R (i, j), G (i, j), and B (i, j) are gray values of the current picture at any actual coordinate (i, j), respectively.
Further, the traversal starting point starts traversal from the upper left corner of the picture, namely the position with the actual coordinate of (0,0), to the end with the actual coordinate of (W, H), where W is the number of columns of pixels of the picture and H is the number of rows of pixels of the picture.
Further, the traversal mode is a nested loop traversal mode.
Further, the actual coordinates are coordinates of pixel points in the picture, the relative coordinates are coordinates of matrix points in the matrix table, and the pixel values are pixel values of the pixel points.
Further, the unit radius of the current matrix point reference range enclosed by the matrix points
Figure RE-GDA0002895318870000033
Further, the overall pixel value C is calculated as follows:
C＝B1(x，y)+B2(x，y)+…+Bg(x，y)
wherein, B1，B2，…，BgAnd respectively corresponding radius weight relative values from the 1 st matrix point to the g th matrix point on each unit radius of the current matrix point, wherein (x, y) is the relative coordinate of the matrix point on the radius corresponding to the current matrix point.
Further, the radius weight relative value B of the matrix pointgThe calculation formula is as follows:
Bg(x，y)＝Dg·Ag(x，y)
wherein D isgThe average pixel value of the matrix point on each unit radius of the current matrix point is A (x, y) is the weight of the matrix point on the radius corresponding to the current matrix point, and (x, y) is the relative coordinate of the matrix point on the radius corresponding to the current matrix point.
Further, the weight A of the matrix point on the radius corresponding to the current matrix pointgThe calculation formula is as follows:
Figure RE-GDA0002895318870000041
the relative coordinates of the current matrix point are (0,0), (x, y) are the relative coordinates of the matrix point on the radius corresponding to the current matrix point, and sigma is a constant;
the average pixel value D of the matrix points on each unit radius of the current matrix pointgThe calculation formula is as follows:
Figure RE-GDA0002895318870000042
wherein m is the quantity value of matrix points on each unit radius of the current matrix point, and E is the total pixel of the matrix points on each unit radius of the current matrix point;
the expression formula of the total pixel E of the matrix point on each unit radius of the current matrix point is as follows:
E＝E1+E2+…+Em
wherein E is1，E2，…，EmThe pixel values of the matrix points on the 1 st to the m th unit radius of the current matrix point are respectively.
Drawings
FIG. 1 is a flow chart of a method for optimizing picture display effects;
fig. 2 is an effect diagram of a method for optimizing a picture display effect.
DETAILED DESCRIPTION OF EMBODIMENT (S) OF INVENTION
Information is lost in the process of blurring the picture, so that the process of blurring the picture is to use the existing blurred picture and experience to deduce the blurred picture content. Generally, when the type of the picture to be processed is known in advance, the specific characteristics and experience of the picture of the type can be utilized to carry out more accurate inference, so that the purpose of improving the picture display effect is achieved;
taking citrus as an example, the image types related to citrus generally mainly include two colors, namely green (a green hue, in RGB color, composed of (R0, G255, B0)) and yellow (a yellow hue, in RGB color, composed of (R255, G255, B0));
according to the characteristic that two colors of yellow and green of the citrus picture are high, b is adjusted to be the most reasonable value or range through continuous trial and verification so as to achieve the best effect.
Example 1
A method for optimizing picture display effect comprises the following steps:
(1) carrying out average gray level processing on the current citrus picture; the average gray scale processing is specifically
Obtaining an average value gray (i, j) of the current orange picture at any actual coordinate (i, j) according to R (i, j), G (i, j) and B (i, j) corresponding to any actual coordinate (i, j) of the current orange picture; the average value gray (i, j) of the current citrus picture at any actual coordinate (i, j) is expressed as:
Figure RE-GDA0002895318870000061
(2) traversing pixel points of the current orange picture by adopting a nested loop traversal mode, starting traversal from the upper left corner of the picture, namely the position with the actual coordinate of (0,0), to the end with the actual coordinate of (100 ), generating a matrix table corresponding to the current orange picture, wherein the number of columns of the matrix table is 100, the number of rows of the matrix table is 100, and matrix points of the matrix table store information of the pixel points at the corresponding position in the current orange picture;
the information of the matrix point comprises an actual coordinate, a relative coordinate and a pixel value; the method comprises the following steps that after a weighted average value is calculated, coordinates of corresponding pixel points on a picture are searched for through actual coordinates of matrix points, the actual coordinates are constant, the coordinates of the matrix points referenced by current matrix points are determined through relative coordinates when the weighted average value is calculated through the matrix points, and the relative coordinates are variables;
(3) taking the current matrix point as the center, and taking n regions of unit radius surrounded by 5 matrix points as the reference range of the current matrix point, wherein the unit radius
Figure RE-GDA0002895318870000062
According to the pixel value E of matrix points on the 1 st to 5 th unit radiuses of the current matrix point1，E2，…，E5Obtaining the total pixel E of the matrix point on each unit radius of the current matrix point; the calculation formula of the total pixel E of the matrix point on each unit radius of the current matrix point is as follows:
E＝E1+E2+...+E5
(4) obtaining the average pixel value D of the matrix points on each unit radius of the current matrix point according to the total number 5 of the matrix points on each unit radius of the current matrix point and the total pixel E of the matrix points on each unit radius of the current matrix pointg(ii) a The average pixel value D of the matrix points on each unit radius of the current matrix pointgThe calculation formula is as follows:
Figure RE-GDA0002895318870000071
(5) according to the relative coordinates (0,0) of the current matrix point, the relative coordinates (x, y) of the matrix point on the radius corresponding to the current matrix point and the constant sigma value 2, the weight A of the matrix point on the radius corresponding to the current matrix point is obtainedg(ii) a The weight A of the matrix point on the corresponding radius of the current matrix pointgThe calculation formula is as follows:
Figure RE-GDA0002895318870000072
(6) according to the average pixel value D of matrix points on each unit radiusgRelative coordinates (x, y) of a matrix point on a radius corresponding to the current matrix point, and a weight A of a matrix point on a radius corresponding to the current matrix pointgObtaining the relative value B of the radius weight of the matrix pointg(ii) a The radius weight relative value B of the matrix pointgThe calculation formula is as follows:
Bg(x，y)＝Dg·Ag(x，y)
(7) according to the corresponding radius weight relative value B of the 1 st to the g th matrix points on the unit radius of the current matrix point1，B2，...，BgAnd the relative coordinates (x, y) of the matrix point on the radius corresponding to the current matrix point to obtain an overall pixel value C; the overall pixel value C is calculated as follows:
C＝B1(x，y)+B2(x，y)+...+Bg(x，y)
(8) obtaining a weighted average value S of the current matrix point according to the total pixel value C, the unit radius value n and the bias item b; the weighted average value S of the current matrix point is calculated according to the following formula:
Figure RE-GDA0002895318870000081
the obtained weighted average value S of the current matrix point is the pixel value to be modified;
(9) modifying the weighted average value S of the current matrix point to the pixel value of the pixel point on the picture position corresponding to the current matrix point;
(10) calculating the next matrix point of the matrix table, and repeating the steps (3) to (9);
(11) and when the picture is modified to the last pixel point of the current picture, the picture is modified.
Example 2
A method for optimizing picture display effect comprises the following steps:
(1) carrying out average gray level processing on the citrus picture; the average gray level processing specifically comprises:
obtaining an average value gray (i, j) of the current orange picture at any actual coordinate (i, j) according to R (i, j), G (i, j) and B (i, j) corresponding to any actual coordinate (i, j) of the orange picture; the average value gray (i, j) of the current citrus picture at any actual coordinate (i, j) is expressed as:
Figure RE-GDA0002895318870000082
(2) traversing pixel points of the current citrus picture by adopting a nested loop traversal mode, starting traversal from the upper left corner of the picture, namely the position with the actual coordinate of (0,0), to the end with the actual coordinate of (1000 ), generating a matrix table corresponding to the current citrus picture, wherein the number of columns of the matrix table is 1000, the number of rows of the matrix table is 1000, and matrix points of the matrix table store information of the pixel points at the corresponding position in the current citrus picture;
the information of the matrix point comprises an actual coordinate, a relative coordinate and a pixel value; the method comprises the following steps that after a weighted average value is calculated, coordinates of corresponding pixel points on a picture are searched for through actual coordinates of matrix points, the actual coordinates are constant, the coordinates of the matrix points referenced by current matrix points are determined through relative coordinates when the weighted average value is calculated through the matrix points, and the relative coordinates are variables;
(3) taking the current matrix point as the center, and taking n regions of unit radius surrounded by 10 matrix points as the reference range of the current matrix point, wherein the unit radius
Figure RE-GDA0002895318870000091
According to the pixel value E of matrix points on the 1 st to 10 th unit radiuses of the current matrix point1，E2，…，E10Obtaining the total pixel E of the matrix point on each unit radius of the current matrix point; the calculation formula of the total pixel E of the matrix point on each unit radius of the current matrix point is as follows:
E＝E1+E2+...+E10
(4) obtaining the average pixel value D of the matrix points on each unit radius of the current matrix point according to the total number 10 of the matrix points on each unit radius of the current matrix point and the total pixel E of the matrix points on each unit radius of the current matrix pointg(ii) a The average pixel value D of the matrix points on each unit radius of the current matrix pointgThe calculation formula is as follows:
Figure RE-GDA0002895318870000092
(5) according to the relative coordinates (0,0) of the current matrix point, the relative coordinates (x, y) of the matrix point on the radius corresponding to the current matrix point and the constant sigma value 4, the weight A of the matrix point on the radius corresponding to the current matrix point is obtainedg(ii) a The weight A of the matrix point on the corresponding radius of the current matrix pointgThe calculation formula is as follows:
Figure RE-GDA0002895318870000093
(6) according to the average pixel value D of matrix points on each unit radiusg(ii) a Relative coordinates (x, y) of a matrix point on a radius corresponding to the current matrix point, and weight A of the matrix point on the radius corresponding to the current matrix pointgObtaining the relative value B of the radius weight corresponding to the current matrix pointg(ii) a The current matrix point corresponds to the relative value B of the radius weightgThe calculation formula is as follows:
Bg(x，y)＝Dg·Ag(x，y)
(7) according to the weight relative value B of the matrix point corresponding to the radius on each unit radius of the current matrix point1(x, y) to obtain an overall pixel value C; the overall pixel value C is calculated as follows:
C＝B1(x，y)
(8) obtaining a weighted average value S of the current matrix point according to the total pixel value C, the unit radius value n and the bias item b; the weighted average value S of the current matrix point is calculated according to the following formula:
Figure RE-GDA0002895318870000101
the obtained weighted average value S of the current matrix point is the pixel value to be modified;
(9) modifying the weighted average value S of the current matrix point to the pixel value of the pixel point on the picture position corresponding to the current matrix point;
(10) calculating the next matrix point of the matrix table, and repeating the steps (3) to (9);
(11) and when the picture is modified to the last pixel point of the current picture, the picture is modified.
Example 3
As shown in fig. 2, a method for optimizing a picture display effect includes the following steps:
(1) carrying out average gray level processing on the citrus picture; the average gray level processing specifically comprises:
obtaining an average value gray (i, j) of the current orange picture at any actual coordinate (i, j) according to R (i, j), G (i, j) and B (i, j) corresponding to any actual coordinate (i, j) of the orange picture; the average value gray (i, j) of the current citrus picture at any actual coordinate (i, j) is expressed as:
Figure RE-GDA0002895318870000111
(2) traversing pixel points of the current citrus picture by adopting a nested loop traversal mode, starting traversal from the upper left corner of the picture, namely the position with the actual coordinate of (0,0), to the end with the actual coordinate of (1000 ), generating a matrix table corresponding to the current citrus picture, wherein the number of columns of the matrix table is 1000, the number of rows of the matrix table is 1000, and matrix points of the matrix table store information of the pixel points at the corresponding position in the current citrus picture;
the information of the matrix point comprises an actual coordinate, a relative coordinate and a pixel value; the method comprises the following steps that after a weighted average value is calculated, coordinates of corresponding pixel points on a picture are searched for through actual coordinates of matrix points, the actual coordinates are constant, the coordinates of the matrix points referenced by current matrix points are determined through relative coordinates when the weighted average value is calculated through the matrix points, and the relative coordinates are variables;
(3) taking the current matrix point as a center, and taking a region surrounded by 1 matrix point as 1 unit radius as a reference range of the current matrix point; according to the pixel value E of the matrix point on the unit radius of the current matrix point1Obtaining the total pixel E of the matrix point on each unit radius of the current matrix point; the calculation formula of the total pixel E of the matrix point on each unit radius of the current matrix point is as follows:
E＝E1
(4) obtaining the average pixel value D of the matrix points on each unit radius of the current matrix point according to the total number 1 of the matrix points on each unit radius of the current matrix point and the total pixel E of the matrix points on each unit radius of the current matrix pointg(ii) a The average pixel value D of the matrix points on each unit radius of the current matrix pointgThe calculation formula is as follows:
Dg＝E
(5) according to the relative coordinates (0,0) of the current matrix point, the relative coordinates (x, y) of the matrix point on the radius corresponding to the current matrix point and the constant sigma value 1, obtaining the weight A of the matrix point on the radius corresponding to the current matrix pointg(ii) a The weight A of the matrix point on the corresponding radius of the current matrix pointgThe calculation formula is as follows:
Figure RE-GDA0002895318870000121
(6) according to the average pixel value D of matrix points on each unit radiusg(ii) a Relative coordinates (x, y) of a matrix point on a radius corresponding to the current matrix point, and weight A of the matrix point on the radius corresponding to the current matrix pointgObtaining the relative value B of the radius weight corresponding to the current matrix pointg(ii) a The current matrix point corresponds to the relative value B of the radius weightgThe calculation formula is as follows:
Bg(x，y)＝Dg·Ag(x，y)
(7) according to the weight relative value B of the matrix point corresponding to the radius on the unit radius of the current matrix point1(x, y) to yield an overall pixel value C; the overall pixel value C is calculated as follows:
C＝B1(x，y)
(8) obtaining a weighted average value S of the current matrix point according to the total pixel value C, the unit radius value n and the bias item b; the weighted average value S of the current matrix point is calculated according to the following formula:
Figure RE-GDA0002895318870000122
the obtained weighted average value S of the current matrix point is the pixel value to be modified;
(9) modifying the weighted average value S of the current matrix point to the pixel value of the pixel point on the picture position corresponding to the current matrix point;
(10) calculating the next matrix point of the matrix table, and repeating the steps (3) to (9);
(11) and when the picture is modified to the last pixel point of the current picture, the picture is modified.
The above embodiments are preferred embodiments of the present invention, but the present invention is not limited to the above embodiments, and any other changes, modifications, substitutions, combinations, and simplifications which do not depart from the spirit and principle of the present invention should be construed as equivalents thereof, and all such changes, modifications, substitutions, combinations, and simplifications are intended to be included in the scope of the present invention.

Claims (9)

1. A method for optimizing picture display effect is characterized by comprising the following steps:
(1) carrying out average gray level processing on the current picture;
(2) traversing the pixel points of the current picture after the average gray level processing, generating a matrix table corresponding to the current picture, wherein the matrix points of the matrix table store the information of the pixel points at the corresponding positions in the current picture;
the matrix points are a set, and the content of the set comprises actual coordinates, relative coordinates and pixel values;
(3) n unit radiuses formed by surrounding the current matrix point as the center and the matrix point
Figure RE-FDA0002895318860000012
As the reference range of the current matrix point; respectively calculating the unit radius in the reference range of the current matrix point
Figure RE-FDA0002895318860000013
Average pixel value D of upper matrix pointgObtaining the relative value B of the corresponding radius weight of the current matrix pointg(ii) a Summing the radius weight relative values of all matrix points to obtain a total pixel value C, and obtaining a weighted average value S of the current matrix point; the weighted average value S of the current matrix point is calculated according to the following formula:
Figure RE-FDA0002895318860000011
wherein n is a unit radius value, C is a total pixel value, and b is a bias term;
modifying the weighted average value S of the current matrix point to the pixel value of the pixel point on the picture position corresponding to the current matrix point;
(4) calculating the next matrix point of the matrix table, and repeating the steps (3) to (4);
(5) and when the picture is modified to the last pixel point of the picture, the picture is modified.
2. The method of claim 1, wherein the method further comprises: the specific method for carrying out average gray level processing on the current picture comprises the following steps:
Figure RE-FDA0002895318860000021
wherein, (i, j) is any actual coordinate in the current picture, gray (i, j) is a gray average value of the current picture at any actual coordinate (i, j), and R (i, j), G (i, j), and B (i, j) are gray values of the current picture at any actual coordinate (i, j), respectively.
3. The method of claim 1, wherein the method further comprises: and the traversal starting point starts traversal from the upper left corner of the picture, namely the position with the actual coordinate of (0,0), and ends when the actual coordinate is (W, H), wherein W is the pixel column number of the picture, and H is the pixel row number of the picture.
4. The method of claim 1, wherein the method further comprises: the traversal mode is a nested loop traversal mode.
5. The method of claim 1, wherein the method further comprises: the actual coordinates are coordinates of pixel points in the picture, the relative coordinates are coordinates of matrix points in the matrix table, and the pixel values are pixel values of the pixel points.
6. The method of claim 1, wherein the method further comprises: unit radius of current matrix point reference range enclosed by matrix points
Figure RE-FDA0002895318860000022
7. The method of claim 1, wherein the method further comprises: the overall pixel value C is calculated according to the following formula:
C＝B1(x，y)+B2(x，y)+…+Bg(x，y)
wherein, B1，B2，…，BgThe weight relative values of the corresponding radii of the 1 st matrix point to the g th matrix point on each unit radius of the current matrix point are respectivelyAnd (x, y) is the relative coordinate of the matrix point on the radius corresponding to the current matrix point.
8. The method of claim 1, wherein the method further comprises: the radius weight relative value B of the matrix pointgThe calculation formula is as follows:
Bg(x，y)＝Dg·Ag(x，y)
wherein D isgIs the average pixel value of matrix points on each unit radius of the current matrix point, AgThe weight of the matrix point on the radius corresponding to the current matrix point is defined, and (x, y) is the relative coordinate of the matrix point on the radius corresponding to the current matrix point.
9. The method of claim 8, wherein the method further comprises: the weight A of the matrix point on the radius corresponding to the current matrix pointgThe calculation formula is as follows:
Figure RE-FDA0002895318860000031
the relative coordinates of the current matrix point are (0,0), (x, y) are the relative coordinates of the matrix point on the radius corresponding to the current matrix point, and sigma is a constant;
the average pixel value D of the matrix points on each unit radius of the current matrix pointgThe calculation formula is as follows:
Figure RE-FDA0002895318860000032
wherein m is the quantity value of matrix points on each unit radius of the current matrix point, and E is the total pixel of the matrix points on each unit radius of the current matrix point;
the expression formula of the total pixel E of the matrix point on each unit radius of the current matrix point is as follows:
E＝E1+E2+…+Em
wherein E is1，E2，…，EmThe pixel values of the matrix points on the 1 st to the m th unit radius of the current matrix point are respectively.
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