Similarity Assessment of Image Structural Quality with Gradient Singular Value Decomposition
Yong Chen · Bandaoti guangdian · 2015
Traditional methods of image quality assessment usually can not well express the structural information of the images,thus in this paper,firstly,two classical image quality assessment methods based on structural similarity and singular value decomposition were studied,and then an evaluation method based on the structural similarity of singular value decomposition was proposed by combining different features of the two mehtods.For this new method,the gradient images of the reference image and distortion image are divided into blocks with the size of8×8,and then the similarities of both the Singular value and the local variance between reference image and the test image were calculated after singular value decomposition is performed on each block of the image.Finally,the degree of the image distortion was evaluated with the combination of the two methods.The experimental results on LIVE database which contains 5different types of distortions and 982 distorted images show that the proposed method has a good evaluation of all kinds of distortion types and is highly consistent with human subjective evaluations.