Image contrast evaluation method and device
An image comparison and evaluation device technology, applied in the field of image processing, can solve the problems of insufficient evaluation, complex calculation, lack of local information acquisition, etc., and achieve the effect of accurate evaluation results, simple and convenient calculation, and rich image information and pixel information
Active Publication Date: 2022-05-13
KEY & CORE TECH INNOVATION INST OF THE GREATER BAY AREA
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The existing image contrast calculation method is mainly based on the gray level difference between adjacent pixels, combined with the pixel distribution probability under the preset gray level difference, to evaluate the contrast of the image, but this method is complex to calculate and only pays attention to the whole image. The image lacks the acquisition of local information, resulting in insufficient evaluation
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[0037] Please refer to Figure 1 ， Figure 1 For embodiments of the present invention provided an image contrast evaluation method, comprising steps S1 to S4, wherein,
[0038] Step S1, convert the image to be evaluated to a grayscale image and calculate the grayscale average of the grayscale image.
[0039] In the present embodiment, the prior art typically employs the following way to calculate the image contrast:
[0040] ；
[0041] where C is the contrast of the image, is the difference in grayscale between adjacent pixels, That is, the difference in gray scale between adjacent pixels is the probability of pixel distribution δ. But this approach tends to focus only on the entire image and lacks local information. When some parts of the image contain some special information, it is easy to lose these special information through this method of evaluation; and this method only targets the global situation and ignores the local, which will lead to insufficient calculation fine...
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The invention provides an image contrast evaluation method and device, and the method comprises the steps: converting a to-be-evaluated image into a gray image, and calculating a gray average value; taking the pixel points of which the gray values are equal to the average gray value as boundary points, and dividing the gray image into a plurality of areas; the maximum D8 distance from the pixel point with the maximum gray value in the area to each pixel point in the area is used as the area radius of each area, and the local contrast of each area is calculated by combining the change value of each area; and according to the local contrast of each region, obtaining the global contrast of the to-be-evaluated image, and further obtaining an evaluation result. Compared with the prior art, the image is divided into a plurality of areas, the local contrast of each area is calculated, the local information of the image is obtained for global evaluation, the global information of the image and the local information of each part of the image are considered while the image contrast is obtained, the evaluation fineness is improved, and the integrity of each local information of the image is kept.
Description
Technical field [0001] The present invention relates to the field of image processing, in particular to an image contrast evaluation method and apparatus. Background [0002] In the field of image processing, the evaluation of image quality has always been an important issue of widespread concern. The evaluation of image quality can be divided into subjective image quality evaluation methods and objective image quality evaluation methods, the difference is that the former is involved in the artificial subjective scoring of images, but this method takes a long time, and the method is complex and cumbersome, and it is difficult to evaluate in real time and at any time. The latter uses computer algorithms to evaluate the quality of the fully referenced image, the quality of the semi-reference image or the quality of the image without reference. The existing image contrast calculation method mainly evaluates the contrast of the image according to the gray level difference between ad...
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IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/10024G06T2207/30168
Inventor 刘才钰李雪峰吴清泉杨军红刘浩
Owner KEY & CORE TECH INNOVATION INST OF THE GREATER BAY AREA