14 March 2013 A fast first-order continuation total variation algorithm for image denoising
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Proceedings Volume 8768, International Conference on Graphic and Image Processing (ICGIP 2012); 87685Z (2013) https://doi.org/10.1117/12.2012485
Event: 2012 International Conference on Graphic and Image Processing, 2012, Singapore, Singapore
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.
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Dongfang Chen, Dongfang Chen, Ningtao Zhang, Ningtao Zhang, "A fast first-order continuation total variation algorithm for image denoising", Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 87685Z (14 March 2013); doi: 10.1117/12.2012485; https://doi.org/10.1117/12.2012485
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