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An Image Denoising Method Based on Non-local Two-side Random Projection and Low Rank Approximation
基于非局部双边随机投影低秩逼近图像去噪算法

Keywords: Image denoising,Non-local method,Random projection,Approximation of low rank matrix,Singular Value Decomposition (SVD)
图像去噪
,非局部方法,随机投影,低秩逼近,奇异值分解

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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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