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International Journal of Computer Mathematics Volume 95, 2018 - Issue 10
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Original Articles

Multiplicative noise removal via combining total variation and wavelet frame

Chunyan LiSchool of Mathematics and Statistics, Wuhan University, Wuhan, ChinaView further author information
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Qibin FanSchool of Mathematics and Statistics, Wuhan University, Wuhan, ChinaCorrespondence[email protected]
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Pages 2036-2055 | Received 16 Jul 2016, Accepted 27 Jun 2017, Published online: 01 Sep 2017

Citations (6)

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Hussien Lotfinia, Nabi Chegini & Reza Mokhtari. (2021) The bi-Helmholtz equation with Cauchy conditions: ill-posedness and regularization methods. Inverse Problems in Science and Engineering 29:1, pages 17-39.
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Articles from other publishers (5)

Veska Georgieva & Velimira Gardeva. Adaptive algorithm for CT images enhancement to improve the diagnosis of lung diseases. Adaptive algorithm for CT images enhancement to improve the diagnosis of lung diseases.
Xinwu Liu & Wenhui Lian. (2022) Non-Convex High-Order TV and ℓ 0 -Norm Wavelet Frame-Based Speckle Noise Reduction . IEEE Transactions on Circuits and Systems II: Express Briefs 69:12, pages 5174-5178.
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Hongfei Wang, Ping Yang, Chuan Xu, Lei Min, Shuai Wang & Bing Xu. (2022) Lung CT image enhancement based on total variational frame and wavelet transform. International Journal of Imaging Systems and Technology 32:5, pages 1604-1614.
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Muhammad Ashfaq Khan, Fayaz Ali Dharejo, Farah Deeba, Shahzad Ashraf, Juntae Kim & Hoon Kim. (2021) Toward developing tangling noise removal and blind inpainting mechanism based on total variation in image processing. Electronics Letters 57:11, pages 436-438.
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Chunyan Li, Zemin Ren & Liming Tang. (2020) Multiplicative noise removal via using nonconvex regularizers based on total variation and wavelet frame. Journal of Computational and Applied Mathematics 370, pages 112684.
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