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Effective image quality evaluation system

An image quality evaluation and image quality technology, applied in the field of image processing, can solve the problems of information extraction failure, image distortion and degradation, affecting information extraction and understanding, etc., to achieve good evaluation results and simplify the calculation process.

Active Publication Date: 2017-11-07
传播大脑科技(浙江)股份有限公司
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Problems solved by technology

[0002] With the advancement of science and technology, human beings can obtain information in various ways, among which the most important information is visual information. However, in the process of image collection, processing, transmission, storage and display, it is inevitable to bring Different degrees of distortion and degradation, all kinds of distortion in the image will affect people's extraction and understanding of information, and seriously cause the failure of information extraction. Therefore, in order to effectively control or optimize the visual effect of the image, It is of great significance to evaluate the image quality reasonably. The present invention provides an effective image quality evaluation system. A fuzzy image is obtained as a reference image by performing low-pass filtering on the original image to be evaluated, so as to evaluate the image quality , so the evaluation of image quality can be realized without reference image

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Embodiment Construction

[0012] The present invention is further described in conjunction with the following examples.

[0013] see figure 1 and figure 2 , an effective image quality evaluation system of the present embodiment, comprising an image acquisition module 1, an image processing module 2, a feature extraction module 3 and an image quality evaluation module 4, and the image acquisition module 1 is used to obtain an original image to be evaluated , the image processing module 2 is used to convert the original image into a grayscale image X, and use a low-pass filter of a Gaussian model to filter the grayscale image X to obtain a re-blurred image, and use it as Referring to the image Y, the feature extraction module 3 is used to extract the local image features of the grayscale image X and the reference image Y, and the image quality evaluation module 4 is used to perform image processing according to the local image features extracted by the feature extraction module 3 Comprehensive evaluat...

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Abstract

An effective image quality evaluation system includes an image acquisition module, an image processing module, a feature extraction module and an image quality evaluation module, wherein the image acquisition module is configured to acquire image data of an original image to be evaluated, the image processing module is configured to process the acquired original image to obtain a reference image, the feature extraction module is configured to extract image features of a grayscale image X and the reference image Y, and the image quality evaluation module is configured to comprehensively evaluate the image quality according to the image featured obtained by the feature extraction module. The beneficial effects of the present invention are as follows: a fuzzy copy is obtained as a reference image by performing low-pass filtering on the acquired original image, and the image quality is evaluated by extracting the image features between the original image and the reference image, the calculation process is relatively simple and a better evaluation result is obtained.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an effective image quality evaluation system. Background technique [0002] With the advancement of science and technology, human beings can obtain information in various ways, among which the most important information is visual information. However, in the process of image collection, processing, transmission, storage and display, it is inevitable to bring Different degrees of distortion and degradation, all kinds of distortion in the image will affect people's extraction and understanding of information, and seriously cause the failure of information extraction. Therefore, in order to effectively control or optimize the visual effect of the image, It is of great significance to evaluate the image quality reasonably. The present invention provides an effective image quality evaluation system. A fuzzy image is obtained as a reference image by performing low-pass filtering on the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/62
CPCG06T7/001G06F18/2193
Inventor 陈剑桃
Owner 传播大脑科技(浙江)股份有限公司
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