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边缘加权的结构相似性测度
引用本文:吕鹏,张建秋.边缘加权的结构相似性测度[J].计算机工程,2011,37(14):226-227.
作者姓名:吕鹏  张建秋
作者单位:复旦大学电子工程系,上海,200433
基金项目:国家自然科学基金资助项目
摘    要:针对结构相似性测度(SSIM)不能较好地客观评价图像模糊与强高斯噪声失真的问题,提出一种边缘加权的结构相似性测度(EWSSIM),以符合人眼视觉系统(HVS)特性。EWSSIM将原始图像和失真图像的整体轮廓信息与局部纹理细节信息加权,更充分地描述图像的结构相似度。通过LIVE图库的仿真结果表明,与SSIME相比,WSSIM能够更好地评价图像模糊与强高斯噪声失真,且在各类失真图像的评价一致性上优于SSIM。

关 键 词:图像质量评估  结构相似性测度  边缘检测  边缘加权结构相似性测度
收稿时间:2010-12-30

Edge-weighted Structural Similarity Index
LV Peng,ZHANG Jian-qiu.Edge-weighted Structural Similarity Index[J].Computer Engineering,2011,37(14):226-227.
Authors:LV Peng  ZHANG Jian-qiu
Affiliation:(Dept.of Electronic Engineering,Fudan University,Shanghai 200433,China)
Abstract:This paper proposes an Edge-weighted Structural Similarity Index(EWSSIM), which can match well with Human Vision System(HVS). Structural Similarity Image quality assessment(SSIM) does not evaluate highly blurred and Gaussian white noise distorted images well. EWSSIM assigns different weights to contour correlation and local texture correlation of the original image and distorted image, which can represent structural similarity better than SSIM, Experimental results of LIVE image database indicate that the proposed index outperforms SS1M in blurred and Gaussian white noise distorted images and also gives a better coherent evaluation for all kinds of distortions in LIVE database.
Keywords:image quality assessment  Structural Similarity index(SSIM)  edge detection  Edge-weighted Structural Similarity Index(EWSSIM)
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