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| An Image Denoising Method Based on Non-local Two-side Random Projection and Low Rank Approximation |
| Luo Liang① Feng Xiang-chu① Zhang Xuan-de①② Li Xiao-ping① |
①(School of Science, Xidian university, Xi'an 710071, China)
②(School of Mathematics and Computer, Ningxia University, Yinchuan 750021, China) |
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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.
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Received: 27 June 2012
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Corresponding Authors:
Luo Liang
E-mail: luoliang775@163.com
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2013, Vol. 35 
