摘要: This work deals with denosing of a one-dimensional signal corrupted by additive white Gaussian noise. A common way to solve the problem is to utilize the total variation (TV) method. Basically, the TV regularization minimizes a fu... 展开
作者 | Artyom Makovetskii Sergei Voronin Vitaly Kober | ||
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作者单位 | |||
文集名称 | Applications of digital image processing XXXVIII | ||
出版年 | 2015 | ||
出版社/出版地 | SPIE, / Bellingham, Washington | ||
会议名称 | Conference on Applications of Digital Image Processing | ||
开始页/总页数 | 959926-1 / 8 | ||
会议日期/会议地点 | 20150810-13 / San Diego | 会议年/会议届次 | 2015 / 38th |
中图分类号 | N-532 | ||
关键词 | Image restoration signal restoration total variation denoising | ||
馆藏号 | N2016040600040863 |