%0 Journal Article
%T An Image Denoising Method Based on Non-local Two-side Random Projection and Low Rank Approximation<br>基于非局部双边随机投影低秩逼近图像去噪算法
%A Luo Liang Feng Xiang-chu Zhang Xuan-de Li Xiao-ping
%A <br>罗亮
%A 冯象初
%A 张选德
%A 李小平
%J 电子与信息学报
%D 2013
%I 
%X A novel image denoising method is proposed by using non-local approximation of low-rank based on random projection. The cluster of similar patch for each pixel point is found by using methods of non-local searching, and then compute low-rank approximation of matrix corresponding to the cluster of similar patches using two-side random projection. Finally, the image noise is suppressed by using the Low rank structure. Results show that the proposed method have the low computation cost. Comparing with one-side random projection method, the proposed algorithm ensure lower reconstruction error, and comparing with the Block Method of 3-Dimension (BM3D) method, proposed method have appealing visual quality of images.
%K Image denoising
%K Non-local method
%K Random projection
%K Approximation of low rank matrix
%K Singular Value Decomposition (SVD)<br>图像去噪
%K 非局部方法
%K 随机投影
%K 低秩逼近
%K 奇异值分解
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=D7FACDD289E24C2DD3336B69D6B0C000&yid=FF7AA908D58E97FA&iid=CA4FD0336C81A37A&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=0