An image quality assessment method based on multi-scale gradient differential entropy

A technology of image quality evaluation and gradient difference, applied in the field of image quality evaluation, it can solve the problems of inconsistency, difficulty in establishing evaluation methods, imitation, etc., and achieve the effect of good consistency

Inactive Publication Date: 2017-07-28
WUHAN UNIV
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Problems solved by technology

The disadvantage is that it can only imitate the subjective visual characteristics of the human eye to a limited extent in some aspects, and there are often inconsistencies with the subjective evaluation results. Different evaluation methods are suitable for different application fields, and it is difficult to establish a system suitable for any field. evaluation method

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  • An image quality assessment method based on multi-scale gradient differential entropy
  • An image quality assessment method based on multi-scale gradient differential entropy
  • An image quality assessment method based on multi-scale gradient differential entropy

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Embodiment Construction

[0036] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only for illustration and explanation of the present invention, and are not intended to limit this invention.

[0037] please see figure 1 , figure 2 and image 3 , figure 2 is the original image, image 3 It is a distorted image, and the spatial resolution of the image is 512*512. Embodiment 1 provides an image quality evaluation method based on multi-scale gradient differential entropy, including the following steps:

[0038] Step 1: Convert both the original image and the distorted image into a grayscale image;

[0039] The conversion method is as follows:

[0040] I(x,y)=0.2989*R(x,y)+0.5870*G(x,y)+0.1140*B(x,y);

[0041] I(x,y) represents the pixel s...

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Abstract

The invention discloses an image quality evaluation method based on multi-scale gradient difference entropies, and the method comprises the following steps: 1, converting an original image and a distorted image into gray-scale images; 2, calculating gradient difference entropies in different scale spaces based on the results obtained at step 1, and enabling the gradient difference entropies in different scale spaces to be averaged in a weighted manner; 3, calculating the ration of mean values of the gray-scale images corresponding to the original image and the distorted image; 4, calculating the ratio of variances of the gray-scale images corresponding to the original image and the distorted image; 5, carrying out comprehensive evaluation based on the results obtained at step 2, 3, and 4. The method introduces a basic concept of scale space, is based on a forming process of a target on a retina of a person at different distances, and is better in consistency with subjective evaluation results through the extraction of contour characteristics in the scale space and the reflecting of the difference between contour characteristics of the original image and the distorted image in the scale space through the entropies.

Description

technical field [0001] The invention belongs to the technical field of image quality evaluation, and relates to a full-reference image quality evaluation method, in particular to an image quality evaluation method based on multi-scale gradient differential entropy, which is suitable for image coding quality evaluation. Background technique [0002] According to statistics, 70% of information received by humans comes from vision. Observing images is an effective way for humans to understand the world. Especially with the rapid development of Internet technology, images have brought great changes to the daily life of the present invention, and occupy an important position in many fields such as medical treatment, news, and entertainment. However, in the process of image acquisition, processing and transmission, the image quality will inevitably be affected, and distortion (fuzzy distortion, noise distortion, coding distortion, etc.) will appear, so that the application requir...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/30168
Inventor 田昕李松郑国兴周辉杨晋陵高俊玲
Owner WUHAN UNIV
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