Local adaptive dictionary based image denoising

Yi Tang, Yuan Yuan, Pingkun Yan, Xuelong Li, Hui Zhou, Luoqing Li

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

In this paper, the problem of balancing the noise removing and the image details preserving is considered. To remove noise adaptively, local dictionaries and sparse coding techniques are used. For a noised image patch, the local dictionary corresponding to it and the sparse coding technique are used to generate the sparse coding vector of the given patch. Then the noise of the given patch can be removed without any information on noise level by setting all components be zero but preserving largest component of the sparse coding vector. Because too much information on image details are removed with noise by the above process, a local weighted regression is adopted to refine the denoising image with the help of the information on the local geometry structure of noised image. Various experiments have been accomplished and prove our method to be effective in balancing the noise removing and the image details preserving.

源语言英语
主期刊名1st Asian Conference on Pattern Recognition, ACPR 2011
412-416
页数5
DOI
出版状态已出版 - 2011
已对外发布
活动1st Asian Conference on Pattern Recognition, ACPR 2011 - Beijing, 中国
期限: 28 11月 201128 11月 2011

出版系列

姓名1st Asian Conference on Pattern Recognition, ACPR 2011

会议

会议1st Asian Conference on Pattern Recognition, ACPR 2011
国家/地区中国
Beijing
时期28/11/1128/11/11

指纹

探究 'Local adaptive dictionary based image denoising' 的科研主题。它们共同构成独一无二的指纹。

引用此