A fast first-order continuation total variation algorithm for image denoising

Dongfang Chen; Ningtao Zhang

doi:10.1117/12.2012485

14 March 2013 A fast first-order continuation total variation algorithm for image denoising

Dongfang Chen, Ningtao Zhang

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.

Citation Download Citation

Dongfang Chen and 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); https://doi.org/10.1117/12.2012485

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