Application of local variance in image quality assessment

The local variance distribution of a gray level image is taken as an important characteristic to express image structural information,and the Singular Value Decomposition(SVD) is performed on a local variance distribution matrix.The angle between the singular vectors of the reference image and distorted image is used to measure the structural similarity of the two images,and then the image quality assessment is achieved.Experimental result shows that the local variance distribution can emphasize the structural information.It is better consistent with human visual perception characteristics and the assessment results are superior to those from Mean Square Error(MSE),Peak Signal to Noise(PSNR),Structure Similarity(SSIM) and SVD methods based on pixel value distribution.