Fractional-order total variation image denoising based on proximity algorithm
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DOI: 10.1016/j.amc.2015.01.012
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Cited by:
- Yang, Jing-Hua & Zhao, Xi-Le & Ji, Teng-Yu & Ma, Tian-Hui & Huang, Ting-Zhu, 2020. "Low-rank tensor train for tensor robust principal component analysis," Applied Mathematics and Computation, Elsevier, vol. 367(C).
- Zeshan Aslam Khan & Naveed Ishtiaq Chaudhary & Syed Zubair, 2019. "Fractional stochastic gradient descent for recommender systems," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(2), pages 275-285, June.
- Ding, Meng & Huang, Ting-Zhu & Wang, Si & Mei, Jin-Jin & Zhao, Xi-Le, 2019. "Total variation with overlapping group sparsity for deblurring images under Cauchy noise," Applied Mathematics and Computation, Elsevier, vol. 341(C), pages 128-147.
- Boutaayamou, Idriss & Hadri, Aissam & Laghrib, Amine, 2023. "An optimal bilevel optimization model for the generalized total variation and anisotropic tensor parameters selection," Applied Mathematics and Computation, Elsevier, vol. 438(C).
- Tang Ruiyin & Liu Bo, 2023. "Application of Fractional Differential Model in Image Enhancement of Strong Reflection Surface," Mathematics, MDPI, vol. 11(2), pages 1-16, January.
- Nyamoradi, Nemat & Rodríguez-López, Rosana, 2015. "On boundary value problems for impulsive fractional differential equations," Applied Mathematics and Computation, Elsevier, vol. 271(C), pages 874-892.
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Keywords
Fractional calculus; Total variation; Proximity algorithm; Image denoising;All these keywords.
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