An improved nonlocal means algorithm based on regression analysis

摘要：

In this paper we propose a denoising method under the powerful framework-non local means (NL-means), in conjunction with regression analysis. First, the conception and development of NL-means is proposed. Second, an image important area map (HAM) is calculated for the protection of edge and structure regions during denoising. Therefore, improved version of NL-means is carried out, which uses a novel patch similarity calculation rule benefited from HAM. This algorithm can better extract and smooth the important information in the noisy image and finally, experimental results validate the proposed algorithm.

关键词： image denoising nonlocal means linear and quadratic regression analysis F statistics

作者: Jin Xu Pengcheng Zheng RuiLv

作者单位: China Digital Video Technology Co. Ltd (Enterprise Postdoctoral Sub-Workstation of Zhongguancun Haid The School of Computer Science Communication University of China Beijing,China

会议类型: 国际会议

会议名称: 2011 3rd IEEE International Conference on Computer Research and Development(ICCRD 2011)(2011第三届计算机研究与发展国际会议)

会议地点: 上海

会议语种:英文

页码: 83-87

在线出版日期: 2011-03-11（万方平台首次上网日期，不代表论文的发表时间）