%0 Journal Article
%T Compressive sensing image fusion algorithm based on wavelet sparse basis<br>一种基于小波稀疏基的压缩感知图像融合算法
%A HUANG Xiao-sheng
%A DAI Qiu-fang
%A CAO Yi-qin
%A <br>黄晓生
%A 戴秋芳
%A 曹义亲
%J 计算机应用研究
%D 2012
%I 
%X As the development of CS, the image fusion techniques based on CS are becoming an emerging research field. Aiming at the characteristic of the wavelet coefficient of image decomposition, this paper proposed an compressive sensing image fusion algorithm based on double radially sampling mode. It firstly got the linear measurements in wavelet sparse domain by the double radially sampling mode, then fused the linear measurements directly with a simple and efficient maximum absolute value rule, and in the end recovered the fused image by minimal total variance. The subject and object experiments result shows that the algorithm has a favorable fuse effect.
%K 压缩感知
%K 图像融合
%K 小波稀疏
%K 双放射采样模式
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=22653CDAF59BBDC12DD8F2F0AE9C5ED4&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=9CF7A0430CBB2DFD&sid=45212072BA7D45D1&eid=5DA37ACF70607E1A&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=12