A No-Reference Image Quality Assessment Method Based on Gradient Correlation

Abstract

The invention provides a non-reference image quality evaluation method based on gradient relevance, and belongs to computer image analysis. The method comprises the following steps: firstly, determining three sub-characters, namely, an image gradient amplitude character, an image gradient direction change character and an image gradient amplitude change character, which are easily influenced by distortion in an image gradient; performing M*M image blocking on the three characters, and determining a statistic variance of the three characters in each image block, wherein the average number of the statistic variances of all the image blocks in the whole image is taken as an image characteristic; and finally, determining the image quality by combining a support vector with a two-step frame in image quality evaluation. The method provided by the invention has the advantages of being small in time complexity, high in subjective consistency, low in image feature dimension and good in universality; the method can be applied to applications related to small computer devices or image quality, and is high in practical value.

Description

technical field [0001] The invention relates to an image quality evaluation method, in particular to a non-reference image quality evaluation method based on gradient correlation, which belongs to the technical field of image analysis. Background technique [0002] Vision is one of the most basic and effective ways for humans to perceive the world, and images are based on human vision. Image information can accurately and directly help people obtain the environment and meaning to be expressed by the information, which is incomparable to information such as voice and text. Therefore, the field of image analysis plays a very important role in the field of computer research. The image records the state of a certain environment at a certain moment. In the process of recording the state, there will be some errors. The intensity of X-rays and the influence of film, etc. These effects will directly interfere with the clarity of imaging, thereby reducing the information contained...

AI Technical Summary

Problems solved by technology

[0024] The purpose of the present invention is to solve the problems of high time and space complexity and low performance in the current no-reference image quality evaluation method, by establishing a no-reference image quality evaluation method with high performance, low complexity, and high consistency with subjective evaluation results. Reference Natural Image Quality Methods

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