CAJ | 학술논문

该文提出一种基于非局部双边随机投影的低秩逼近图像去噪新方法.首先,对每个图像块通过非局部搜索寻找相似匹配块簇,然后对相似匹配块簇进行双边随机投影,用投影后的低秩结构恢复原图像.实验结果表明,所提方法比奇异值分解方法有较低的计算复杂度,比单边随机投影方法有较小的重构误差.特别是和3维块匹配方法相比,所提方法能保持相近的信噪比和较好的视觉质量.
해문제출일충기우비국부쌍변수궤투영적저질핍근도상거조신방법.수선,대매개도상괴통과비국부수색심조상사필배괴족,연후대상사필배괴족진행쌍변수궤투영,용투영후적저질결구회복원도상.실험결과표명,소제방법비기이치분해방법유교저적계산복잡도,비단변수궤투영방법유교소적중구오차.특별시화3유괴필배방법상비,소제방법능보지상근적신조비화교호적시각질량.
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.