Paper
6 May 2019 Alternating proximal algorithm for L1/TVp(0 < p < 1) image recovery
Xiao Jin, Yuan Xiao
Author Affiliations +
Proceedings Volume 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018); 110692K (2019) https://doi.org/10.1117/12.2524391
Event: Tenth International Conference on Graphic and Image Processing (ICGIP 2018), 2018, Chengdu, China
Abstract
Alternating proximal algorithm is presented for L1/TVp (0 < p < 1) nonconvex variational model, which typically outperforms popular models with convex variational models in restoring sparse images with corruption by the impulse noise or other outliers. Numerical experiments are reported to illustrate the effectiveness of this algorithm.
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Xiao Jin and Yuan Xiao "Alternating proximal algorithm for L1/TVp(0 < p < 1) image recovery", Proc. SPIE 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018), 110692K (6 May 2019); https://doi.org/10.1117/12.2524391
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KEYWORDS
Image restoration

Algorithm development

Smoothing

Image processing

Mathematical modeling

Statistical modeling

Algorithms

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