Objective Image Fusion Quality Evaluation Using Structural Similarity

被引：12

作者：

郑有志 ^{[1
]}

覃征 ^{[1
]}

机构：

[1] Department of Computer Science and Technology,Tsinghua University

来源：

TsinghuaScienceandTechnology | 2009年 / 14卷 / 06期

基金：

中国国家自然科学基金;

关键词：

image quality evaluation; image fusion; objective quality evaluation; structural similarity;

D O I：

暂无

中图分类号：

TP391.41 [];

学科分类号：

080203 ;

摘要：

Objective evaluations of fused images are important in comparing the performance of different image fusion algorithms.This paper describes a structural similarity metric that does not use a reference image for image fusion evaluations.The metric is based on the universal image quality index and addresses not only the similarities between the input images and the fused image,but also the similarities among the input images.The evaluation process distinguishes between complementary information and redundant information using similarities among the input images.The metric uses the information classification to estimate how much structural similarity is preserved in the fused image.Tests demonstrate that the metric correlates well with subjective evaluations of the fused images.

引用

页码：703 / 709

页数：7