%0 Journal Article
%T Image Compressed Sensing Based on Universal HMT of the Dual-tree Wavelets<br>基于双树小波通用隐马尔可夫树模型的图像压缩感知
%A Lian Qiu-sheng
%A Wang Yan
%A <br>练秋生
%A 王艳
%J 电子与信息学报
%D 2010
%I 
%X The standard Compressed Sensing(CS) reconstructions of image exploit simply the sparse priors of the wavelet coefficients,ignoring the structural information of the wavelet coefficients.In this paper,the Hidden Markov Tree(HMT ) model is integrated in the compressed sensing,which has been found successful in capturing the key features of the joint probability density of the wavelet coefficients of real-world image.An optimization issue which is similar to the standard compressed sensing is derived from the ...
%K Compressed Sensing (CS)
%K Model-based CS
%K Dual-tree wavelet
%K uHMT model
%K Alternating convex projection<br>压缩感知
%K 模型压缩感知
%K 双树小波
%K uHMT模型
%K 凸集交替投影
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=FF7BDA05A5CCEEF96F7A62A886EEE681&yid=140ECF96957D60B2&vid=9971A5E270697F23&iid=F3090AE9B60B7ED1&sid=6E66AAEF44D63139&eid=62430EC5AE2C2006&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=18