%0 Journal Article
%T Non-subsampled contourlet transform algorithm to promote detail information capturing ability<br>提升细节捕捉能力的非下采样轮廓波变换
%A Guo Hong
%A Li Xuejun
%A <br>郭洪
%A 李雪军
%J 中国图象图形学报
%D 2012
%I 
%X The NSP (multi-scale decomposition method) of the traditional NSCT (non-subsampled contourlet transform) algorithm has a poor detail information capturing ability and when applied to image fusion it causes a loss of image details. In this paper, we present an improved NSCT algorithm. Different from the traditional NSCT algorithm, we adopt the non-subsampled morphological wavelet decomposition, which has a better detail capture capability, to realize a multi-scale decomposition of the source image and replacing the NSP decomposition. The source images are decomposed into four parts: low-frequency, horizontal high-frequency, vertical high-frequency, and diagonal high-frequency. Afterwards, the improved NSCT decomposition on high frequencies using the NDFB (non-subsampled directional filter) for multiple directions of decomposition is realized. Our experiments show that, compared with traditional algorithms, this algorithm has a better detail capturing ability, its image fusion effect is better under the same fusion rules, and all fusion indexes are improved. Among them, the average gradient is increased by 10%. This effective image fusion algorithm can be easily realized and widely used in multi-resolution image fusion.
%K non-subsampled contourlet transform
%K morphological wavelet decomposition
%K image fusion
%K edge detection<br>非下采样轮廓波变换
%K 形态学小波分解
%K 图像融合
%K 边缘检测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=0EB9A27D923E91667651633866BF3247&yid=99E9153A83D4CB11&vid=BCA2697F357F2001&iid=5D311CA918CA9A03&sid=46DFDABDAA819280&eid=55434AEC30CBAE6B&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=11