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.
罗亮, 冯象初, 张选德, 李小平. 基于非局部双边随机投影低秩逼近图像去噪算法[J]. 电子与信息学报, 2013, 35(1): 99-105.
Luo Liang, Feng Xiang-Chu, Zhang Xuan-De, Li Xiao-Ping. An Image Denoising Method Based on Non-local Two-side Random Projection and Low Rank Approximation. , 2013, 35(1): 99-105.
2013, Vol. 35 
