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An image fusion algorithm based on regional Kullback-Leibler entropy and nonsubsampled contourlet transform

  • Beijing Institute of Technology

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

A novel image fusion algorithm based on regional Kullback-Leibler entropy analysis and nonsubsampled contourlet transform is proposed in this paper. The equation of Kullback-Leibler entropy is modified at first, and then the modified Kullback-Leibler entropy of the corresponding area of the two source image is calculated. The result of the Kullback-Leibler entropy is clustered to three classes. According to the result of the clustering, different fusion strategies are selected for low frequency subband coefficients. High frequency coefficients are fused using a "local feature-based" rule. Then the fused coefficients are reconstructed to obtain the fused image. Experimental results showed that the proposed algorithm not only improved the visual effect, but also enhanced the contrast and information entropy.

源语言英语
主期刊名International Symposium on Photoelectronic Detection and Imaging 2009 - Advances in Infrared Imaging and Applications
DOI
出版状态已出版 - 2009
活动International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications - Beijing, 中国
期限: 17 6月 200919 6月 2009

丛书

姓名Proceedings of SPIE - The International Society for Optical Engineering
7383
ISSN(印刷版)0277-786X

会议

会议International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications
国家/地区中国
Beijing
时期17/06/0919/06/09

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