A Quantitative Performance Evaluation Index for Image Fusion: Normalized Perception Mutual Information
Information entropy based criteria are analyzed and the Normalized Mutual Information(NMI) that is presented in the field of image registration is revised to Normalized Mutual Information Entropy (NMIE) to meet the need of the evaluation of image fusion algorithms. Then, through analysis to NMIE and some human perception based criteria, and by analyzing the essence of image fusion techniques systematically, a new index, Normalized Perception Mutual Information (NPMI), is defined in view of information transmission as well as edge preservation, and is used to evaluate the performance of image fusion algorithms. The experiments are done to three groups of images, namely, the remote sensing images corrupted by noises, the multifocus images and the medical images obtained by CT andMRI, respectively. Compared with other indices including the root mean square error (RMSE), space frequncy (SF), space visibility (SV), entropy, the collective cross entropy (CCE), information deviation (ID), and the edge information preservation value (EIPV), etc., NPMI is shown to be the only one that is effective in all the cases in the evaluation of the performances of the fused images or the image fusion algorithms, which illustrates the feasibility and effectiveness of the presented algorithm.
Image fusion Performance evaluation Mutual information Human perception Normalized perception mutual information
Liping Yan Yulei Liu Bo Xiao Yuanqing Xia Mengyin Fu
School of Automation, Key Laboratory of Intelligent Control and Decision of Complex Systems,Beijing School of Information and Communication Engineering, Beijing University of Posts and Telecommunicati
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
3783-3788
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）