DOI: 10.3724/SP.J.1146.2012.00819

Journal of Electronics & Information Technology (电子与信息学报) 2013/35:1 PP.99-105

An Image Denoising Method Based on Non-local Two-side Random Projection and Low Rank Approximation

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)

ReleaseDate:2014-07-21 17:03:18