Structural SIMilarity and correlation based filtering for Image Quality Assessment

Image Processing and analyzing images of the operation is to always ask about their quality, whether the quality is increased or decreased? Image Quality Assessment techniques is required for prediction of quality of the image. Human Visual System (HVS) has been widely incorporated in estimating the quality of the image, as human is the ultimate observer of the image. In this work, Author investigated the SSIM index depends upon correlation based filtering like Gaussian low pass filter, averaging filter, Circular averaging filter and motion filter, also mean square error and peak signal to noise ratio is used.