%0 Journal Article
%T Image Fusion Algorithm in Nonsubsampled Contourlet Domain Based on Activity Measure and Closed Loop Feedback<br>基于活性测度和闭环反馈的非下采样Contourlet域图像融合
%A Yang Xiao-hui
%A Jia Jian
%A Jiao Li-cheng
%A <br>杨晓慧
%A 贾 建
%A 焦李成
%J 电子与信息学报
%D 2010
%I 
%X An image fusion algorithm in nonsubsampled Contourlet domain is presented based on Human Visual System (HVS) and source image characteristics. Moreover, the influence on fusion result of decomposition levels and directional decomposition numbers is discussed. Closed Loop Feedback (CLF) is introduced into low-pass subbands to obtain optimal fused weights adaptively. In high-pass subbands, Activity Measure (AM) is defined based on region energy to enhance contrast of fused images and protect detail information of source images. Experiment results show that the proposed fusion technique is robust and the fusion images have ideal clear and continue edges.
%K Image fusion
%K Nonsubsampled Contourlets
%K Activity Measure (AM)
%K Closed loop feedback<br>图像融合
%K 非下采样Contourlets
%K 活性测度
%K 闭环反馈
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=FADDF3E9C4753320E8C56F131A9B363E&yid=140ECF96957D60B2&vid=9971A5E270697F23&iid=0B39A22176CE99FB&sid=B941678158018439&eid=BA48F0B914ED890A&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=14