计算机技术与发展Issue(3)：67-70,4.DOI:10.3969/j.issn.1673-629X.2014.03.017
一种改进的基于结构相似度的图像质量评价方法
An Improved Image Quality Assessment Method Based on Structural Similarity
摘要
Abstract
SSIM is an image quality assessment algorithm with the advantage of simplicity,high efficiency and better consistence. Its eval-uation of performance is better than PNSR and MSE,however,it often fails when assessing badly distorted or cross distorted images. In this paper,an improved image quality assessment algorithm based on structural similarity ( HSSIM) is proposed,which takes the histo-gram concentration as the main structural information of an image,according to the human visual characteristics,using histogram concen-tration to calculate the fuzzy degree of the image,obtaining the structure similarity value of the image finally. Experimental results show that,compared with the SSIM model,the proposed HSSIM model is more consistent with human visual system and can assess the quality of fault images more precisely.关键词
结构相似度/失真图像/直方图集中度/直方图结构相似度/人眼视觉系统Key words
SSIM/distorted image/histogram concentration/HSSIM/human visual system分类
信息技术与安全科学引用本文复制引用
糜靖峰,李庆武,朱浩,霍冠英..一种改进的基于结构相似度的图像质量评价方法[J].计算机技术与发展,2014,(3):67-70,4.基金项目
国家自然科学基金资助项目(6097210) （6097210）
江苏省科技支撑计划-工业部分(BE2012096) （BE2012096）
南通市科技计划(BK2012025) （BK2012025）
