Image Quality Evaluation Method Based On Structure Similarity Research

With the rapid development of electronic products as well as the social network,the value of the image can be found in our daily life is more important.Distortion is everywhere,the image will be in the process of formation and deal with these as were introduced,so that it will lead to image quality was badly damaged,so as to prevent people to obtain information from the image,in view of this the further study of image quality assessment algorithm is very necessary.This paper image quality evaluation method based on structure similarity of the research is based on human visual system as the research basis,mainly on the reference algorithm(with the original standard image for your reference)and the reference algorithm(without reference images)are studied,find out under what conditions can faster and more efficient to evaluate digital image.This paper main research direction and results summarized as follows:1.Based on dual tree complex wavelet transform fuzzy image quality assessment(no reference).Wavelet domain and structure similarity of the quality evaluation method has become a hot research topic in the field of image processing,but the two parts have some shortcomings: first the discrete wavelet transform in the process of translation can't keep invariance,at the same time after the transformation on a scale only three direction to choose;In five types of distortion,the structural similarity for severely damaged the image of the fuzzy evaluation result is not very accurate.Based on this the paper puts forward a new algorithm adapted to the blurred image quality evaluation.Than structure similarity simulation experiment shows that this method is more consistent with human visual effect,on the consistency will be better able to match the subjective evaluation method,and in all aspects of the performance is better than the current method of relevant literature.2.Based on DCT domain texture structure similarity of the blurred image quality evaluation(reference).Structure similarity in larger blurred image distortion of evaluation type,the result is not always right,even if it as an important index to measure the quality of the two images.Based on the image quality evaluation method based on structure similarity,on the basis of considering the texture information is an important part of the image,as well as the human eye is sensitive to image texture information of parts,so as the main structural information of image texture,can be used to evaluate image clarity,in view of this texture structure similarity evaluation based on DCT domain is proposed.Can learn from the result of the experiment,the fuzzy image based on DCT domain texture structure similarity quality relative to the structure similarity of the algorithm,the experiment result is more correct,can very good and consistent with the subjective feeling of human eyes.3.Based on the variational function global texture structure enhanced structure similarity algorithm(full)in image texture enhancement algorithm analysis,the airspace is every pixel of image gray level directly to operations,to enhance the brightness and contrast of image as a whole.Global image texture information can effectively reflect the different distortion,so the paper mainly discusses the global texture feature to enhance the meaning of the distortion of image quality evaluation.Variation function is often used for global grain information to analyze,as well as the correlation statistics global texture information.Unlike classical variation function analysis method,this topic mainly in horizontal(0°),(90°)and vertical diagonal(45°,135°)used in four directions logarithmic variation function model,analysis the characteristic of image texture and texture information to enhance the image overall.