Proceedings Paper
A fast first-order continuation total variation algorithm for image denoising| Format | Member Price | Non-Member Price |
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Paper Abstract
This paper describes a new denoising algorithm which named Continuation total-variation denoising (CTVD)
algorithm. The algorithm is based on the novel Nesterov’s first-order method, most notably Nesterov’s smoothing
technique, tailored to the image processing application. The algorithm also introduces a fixed point continuation
technique to increase the convergence rate, and in particular when to deal with high dynamic range signals and largescale
problems.
Paper Details
Date Published: 14 March 2013
PDF: 7 pages
Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 87685Z (14 March 2013); doi: 10.1117/12.2012485
Published in SPIE Proceedings Vol. 8768:
International Conference on Graphic and Image Processing (ICGIP 2012)
Zeng Zhu, Editor(s)
PDF: 7 pages
Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 87685Z (14 March 2013); doi: 10.1117/12.2012485
Show Author Affiliations
Dongfang Chen, Wuhan Univ. of Science & Technology (China)
Ningtao Zhang, Wuhan Univ. of Science & Technology (China)
Published in SPIE Proceedings Vol. 8768:
International Conference on Graphic and Image Processing (ICGIP 2012)
Zeng Zhu, Editor(s)
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