Nonlocal patch functional minimization for image denoising using nonsubsampled contourlet

Hui Wan*, Ran Tao

*此作品的通讯作者

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

The nonsubsampled contour let transform (NSCT) is an excellent multi scale and multidirection representation for images, born in redundant and shift-invariant quality suitable for denoising. Most NSCT or NSCT-like denoising methods borrow the mature algorithms from wavelets, and are restricted by the precision of the prior model to describe the coefficients statistics. This paper presents a discrete regularization approach relying on the nonlocal weighted patches function and the NSCT sub band estimator, to relieve the effect of prior precision while suppressing the additive noise and the resultant artifacts. Results on the PSNR and vision comparisons with the advanced denoising algorithms demonstrate the superiority of the proposed method.

源语言英语
主期刊名Proceedings - 2011 International Conference on Instrumentation, Measurement, Computer, Communication and Control, IMCCC 2011
740-743
页数4
DOI
出版状态已出版 - 2011
活动1st International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC2011 - Beijing, 中国
期限: 21 10月 201123 10月 2011

出版系列

姓名Proceedings - 2011 International Conference on Instrumentation, Measurement, Computer, Communication and Control, IMCCC 2011

会议

会议1st International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC2011
国家/地区中国
Beijing
时期21/10/1123/10/11

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