A multilevel regression analysis based nonlocal means denoising algorithm

摘要：

This paper focuses on image denoising under the powerful framework—non local means. First, the introduction and development of NL-means is discussed. Second, a powerful scheme based on linear regression analysis for the classification of image meaningful parts is proposed. Third, an improved version of NL-means is carried out, which use a novel patch similarity rule based on quadratic regression analysis. This multilevel regression analysis based algorithm can better describe and smooth the noisy image and finally, experimental results validate the algorithm in both effectiveness and efficiency.

关键词： image denoising nonlocal means regression analysis

作者: Jin Xu Pengcheng Zheng Rui Lv

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

会议类型: 国际会议

会议名称: Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)

会议地点: 成都

会议语种:英文

页码: 294-298

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）