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论文类型：会议论文

发表时间：2011-09-27

收录刊物：EI、Scopus

页面范围：123-127

摘要：The nonlocal-means (NLM) is a powerful method for image denoising which takes advantage of the redundancy of similar patches in the image. The steering kernel regression is a non-parametric estimation for image restoration that develops a data-adapted steering kernel based on local orientation estimate. In this paper, a steering kernel based nonlocal-means filter (SK-NLM) has been developed which not only exploits the self-similarity of the image, but also considering the structural information by the steering kernel. Experimental results show that the proposed method effectively improve the PSNR while preserving local structures. ? 2011 IEEE.