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Edge and contrast preserving in total variation image denoising.

, and . EURASIP J. Adv. Signal Process., (2016)

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Properties and enhancements of robust likelihood CUSUM control chart., , and . Comput. Ind. Eng., (2017)Nonconvex and nonsmooth total generalized variation model for image restoration., , , , and . Signal Process., (2018)A coupled non-convex hybrid regularization and weak H-1 image decomposition model for denoising application., , , , and . J. Appl. Math. Comput., 70 (1): 197-233 (February 2024)Image selective restoration using multi-scale variational decomposition., , , and . J. Vis. Commun. Image Represent., (2016)A non-convex ternary variational decomposition and its application for image denoising., , , and . IET Signal Process., 16 (3): 248-266 (2022)Noise level estimation based on eigenvalue learning., , and . Multim. Tools Appl., 83 (15): 44503-44525 (May 2024)Corrigendum to "Properties and enhancements of robust likelihood CUSUM control chart" Comput. Ind. Eng. 114 (2017) 80-100., , and . Comput. Ind. Eng., (2018)A novel natural image noise level estimation based on flat patches and local statistics., and . Multim. Tools Appl., 78 (13): 17337-17358 (2019)A generalized hybrid nonconvex variational regularization model for staircase reduction in image restoration., , , and . Neurocomputing, (2019)Edge and contrast preserving in total variation image denoising., and . EURASIP J. Adv. Signal Process., (2016)