%0 Journal Article
%T Image fusion algorithm based on Bayesian compressive sensing<br>基于Bayesian压缩感知的融合算法
%A ZHOU Hong-zhi
%A FENG Ying-ying
%A WANG Dai-mu
%A <br>周红志
%A 冯莹莹
%A 王戴木
%J 计算机应用研究
%D 2013
%I 
%X Acorrding to the sampling pattern in compressive sensing theory, this paper proposed an image fusion method in the compressive domain based on an improved sampling pattern. Firstly, it used double-star sampling pattern to get the compressed mearsurements in the sparsity domain for image fusion, then it used a simple and efficient maximum absolute value rule as the fusion rule, at last, it used the Bayesian analysis method to reconstruct the fusion image. Simulation results verify the effect of the proposed method.
%K double-star shape
%K compressive sensing
%K image fusion
%K Bayesian<br>双星型
%K 压缩感知
%K 图像融合
%K 贝叶斯
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=51EFA6F8AD10024315B81DEA8358510B&yid=FF7AA908D58E97FA&vid=340AC2BF8E7AB4FD&iid=0B39A22176CE99FB&sid=9E7C0CB25117E09B&eid=D9D6C3CD78BED2C5&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=11