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《Telecommunications Science》 2015-12
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Image Fusing by Block Compressed Sensing in Contourlet Domain

Tang Aiping;Cao Hui;Creative & Art Department,Changzhou Textile Garment Institute;Center of Modern Educations,Henan Radio & Television University;  
For traditional image fusion method results in loss of texture detail,a block compressed sensing image fusion algorithm in contourlet domain with a shift invariant and anti-aliasing ability called Contourlet_BCS was proposed.Contourlet_BCS introduced contourlet transform into the sparse representation step of compressed sensing since ils remarkable feature of articulating the texture and edge information,meanwhile,the low-frequency cocllicients fused by weighted rule of regional energy and high-frequency coefficients based on the weighted fusion rule by generalized Gaussian distribution model were also used.Finally,the high quality image can be reconstructed by smooth projection Landweber iteration method under the compressed sensing framework.Experimental results show that the image fused by Contourlet_BCS was better than the traditional method and the fusion image texture clear and had more abundant edge details.
【Fund】: 河南省科技厅项目“基于云存储的河南省终身教育海量数字化资源公共服务基础平台建模研究”(No.152102210304);; 河南省教育厅项目“面向河南省社区远程教育的海量数字化教学资源存储管理研究”(No.ZJA15172)~~
【CateGory Index】: TP391.41
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