2013基于非局部双边随机投影低秩逼近图像去噪算法.pdfVIP

35 1 Vol.35 No.1 2013 1 Journal of Electronics Information Technology Jan. 2013 ( 710071) ( 750021) 3 TP391 A 1009-5896(2013)01-0099-07 DOI: 10.3724/SP.J.1146.2012.00819 An Image Denoising Method Based on Non-local Two-side Random Projection and Low Rank Approximation Luo Liang Feng Xiang-chu Zhang Xuan-de Li Xiao-ping , (School of Science, Xidian university, Xi an 710071, China) (School of Mathematics and Computer, Ningxia University, Yinchuan 750021, China) Abstract: 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. Key words: Image denoising; Non-local method; Random projection; Approximation of low rank matrix; Singular Value Decomposition (SVD) 1  [10](Non-Local Means, NLM) ( )NLM