Structure Similarity based Objective Metric for Pixel-level Image Fusion

摘要：

Pixel-level image fusion has been investigated in various applications and many algorithms have been proposed. However, few authors have addressed the problem of how to evaluate the performance of those algorithms. In this paper, we propose a structure similarity based objective metric for image fusion, which evaluates the similarity of the gradient. elds between the source images and the fused result. Meanwhile, local information given by salience within localized windows are incorporated into the. nal metric. Extensive experiments demonstrate that the proposed metric can evaluate the image fusion performance effectively and is consistent with perceptually obtained results.

关键词： Image fusion structure similarity gradient fields local information

作者: Richang Hong Fuming Sun

作者单位: Department of EEIS University of Science and Technology of China Hefei,Anhui Province School of Electronical and Informational Engineering Liaoning University of Technology Jinzhou,Liaon

会议类型: 国际会议

会议名称: The 2nd International Symposium on Systems and Control in Aeronautics and Astronautics(第二届航空航天系统与控制国际会议 ISSCAA 2008)

会议地点: 深圳

会议语种:英文

页码: 1-6

在线出版日期: 2008-12-10（万方平台首次上网日期，不代表论文的发表时间）