CN116228573A

CN116228573A - Image edge sharpness method

Info

Publication number: CN116228573A
Application number: CN202310088406.9A
Authority: CN
Inventors: 李福文; 余佳
Original assignee: Shenzhen Shenghua Electronics Co ltd
Current assignee: Shenzhen Shenghua Electronics Co ltd
Priority date: 2023-02-09
Filing date: 2023-02-09
Publication date: 2023-06-06

Abstract

The invention discloses an image edge sharpness method, which comprises the steps of 1, capturing at least two images by using an image capturing module, 2, inputting a high-pass filtering mask, and performing convolution operation according to an original image signal and the high-pass filtering mask to output boundary strength; step 3, selecting weights according to the boundary strength, and inputting a low-pass filtering mask; step 4, outputting the processed image signal according to the original image signal and the first sharp intensity signal; in step 5, taking R of three primary colors of the image signal RGB as an example, selecting 3x3 pixel points in the current frame to scan a window, when the last point image of the last pixel is scanned to finish the image removal, the image edge sharpness method can strengthen the boundary of the image, so that the outline in the image is more obvious, and the image is corrected by adopting a table look-up mode to achieve the actual image quality improvement effect.

Description

Image edge sharpness method

Technical Field

The invention relates to the field of image processing related products, in particular to an image edge sharpness method.

Background

Sharpness, sometimes referred to as "sharpness", is an indicator that reflects the sharpness of an image plane and the sharpness of an image edge. If the sharpness is turned up, the contrast of the detail on the image plane is also higher and appears clearer. For example, in the case of high sharpness, not only wrinkles and spots of a face on a screen are clearer, but also swelling or sagging of facial muscles can be vivid. In another case, namely dark or black lines in the vertical direction or where black and white images are suddenly changed, the edges of the intersections where the lines or black and white images are suddenly changed are sharper and the whole picture is clearer. Thus, improving sharpness, in fact, definition, is a desirable, good aspect;

the current image edge sharpening method is to sharpen the image contrast, which can lead to poor image quality, low efficiency and defect.

Disclosure of Invention

The present invention is directed to an image edge sharpness method, which solves the above-mentioned problems of the prior art.

In order to achieve the above purpose, the present invention provides the following technical solutions: a method for sharpening image edges includes the following steps,

step 1, capturing at least two images by using an image capturing module,

step 2, inputting a high-pass filter mask, and performing convolution operation according to the original image signal and the high-pass filter mask to output boundary strength;

step 3, selecting weights according to the boundary strength, and inputting a low-pass filtering mask;

step 4, outputting the processed image signal according to the original image signal and the first sharp intensity signal;

step 5, taking R of three primary colors of the image signal RGB as an example, selecting a 3x3 pixel point to scan a window in the current frame as an example, and finishing the image removal process when the last point of the last pixel is scanned;

step 6, taking R as an example and taking a 3x3 pixel point scanning window as an example, respectively marking each pixel point in the scanning window as a, b, c, d, e, f, g, h and i, wherein a central point e is an evaluation point, and the pixel value of each point takes 8 bits as an example and has a value between 0 and 255;

step 7, dividing the respective values of each pixel point in the scanning window into 16 steps and representing the values by 16 carry, wherein the 0 th step is the table brightness between 0 and 15, the 1 st step is the table brightness between 16 and 31, the … F step is the table brightness between 240 and 255, the value of each pixel point falls within a certain step of the 16 steps, a certain scanning window value is (a, b, c, d, e, F, g, h, i) = (79,200,215,40,80,200,210,190,210), and then (a, b, c, d, e, F, g, h, i) = (79,200,215,40,80,200,210,190,210) = (4, c, d,2,5, c, d, b, d) steps are assumed, and a 3x3 pixel point scanning window is divided into 16 steps, so that 16 images are obtained;

step 8, when a certain order image is satisfied, its evaluation value will be replaced. Finally, taking the image meeting the higher order as a final value;

and 9, the final correction result e point is B-order, and the range of B-order is 176-191, so that the value in the range is selected finally.

Preferably, in the step 2, 0 is dark, and 255 is light.

Preferably, in the step 6, the current frame and the next frame are different in time but the processing positions are the same.

Preferably, the image of each step in the step 3 may be defined by itself.

Compared with the prior art, the invention has the beneficial effects that:

the image edge sharpness method can strengthen the boundary of the image, so that the outline in the image is more obvious, and the correction is carried out by adopting a table look-up mode to do the actual image quality improvement effect.

Drawings

FIG. 1 is a diagram of a pixel frame according to the present invention;

FIG. 2 is a color value diagram of the present invention;

FIG. 3 is a schematic diagram of the estimated coordinates of the present invention;

FIG. 4 is a schematic diagram of evaluation points according to the present invention;

FIG. 5 is a schematic diagram of a correction flow chart according to the present invention;

FIG. 6 is a graph showing the correction results according to the present invention;

FIG. 7 is a schematic diagram of the correction range of the present invention.

Detailed Description

The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments.

Referring to fig. 1-7, an embodiment of the present invention is provided: a method for sharpening image edges includes the following steps,

step 1, capturing at least two images by using an image capturing module,

In this embodiment, in step 2, 0 is dark, and 255 is light; in the step 6, the current frame and the next frame are only different in time but identical in processing position; the image of each step in step 3 can be defined by itself.

It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.

Claims

1. An image edge sharpness method, characterized in that: comprises the steps of,

step 1, capturing at least two images by using an image capturing module,

2. The method of claim 1, wherein: in the step 2, 0 is dark, and 255 is light.

3. The method of claim 1, wherein: the current frame and the next frame in the step 6 are only different in time but identical in processing position.

4. The method of claim 1, wherein: the image of each step in the step 3 can be defined by itself.