Image Quality Assessment Based on Dual-scale Edge Structure Similarity
Yan Chen · Jisuanji gongcheng · 2007
The quality assessment of images is meaningful for most video and images applications.The structure similarity index(SSIM) shows some defects when evaluating the quality of blur images and noise images,the results don’t match the HVS system well.This paper proposes a new image quality assessment algorithm based on dual-scale edge structure similarity(MDESSIM).The edge information is appreciated sufficiently during the structure information in this algorithm.The distortion metric of edge structure is included in the assessment of the image quality.Experimental results demonstrate the MDESSIM algorithm is effective.