An Efficient Image Quality Evaluation System

Abstract

An effective image quality evaluation system, comprising an image acquisition module, an image processing module, a feature extraction module and an image quality evaluation module, the image acquisition module is used to obtain image data of an original image to be evaluated, and the image processing module uses For processing the collected original image to obtain a reference image, the feature extraction module is used to extract the image features of the grayscale image X and reference image Y, and the image quality evaluation module is used to extract The obtained image features are used for comprehensive evaluation of image quality. The beneficial effects of the present invention are as follows: a blurred copy is obtained as a reference image by low-pass filtering the collected original image, and image quality is evaluated by extracting image features between the original image and the reference image, and the calculation process is relatively simple And got better evaluation results.

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 ...

AI Technical Summary

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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