Performance Evaluation of different Image Filtering Algorithms using Image Quality Assessment

Abstract

The quality assessment of images is meaningful for most video and images applications. Recently a new metric called Region of Interest structure similarity index (ROISSIM) is proposed for assessing image quality with better reflection to human visual characteristics than traditional image quality assessment methods. In this paper, five different filtering algorithms are compared based on the ability to reconstruct noise affected images using ROISSIM. Experimental results give us the quality assessment of filtering algorithms based on region of interest.