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International Journal of Computer Mathematics Volume 90, 2013 - Issue 1: VARIATIONAL IMAGE PROCESSING MODELS AND APPLICATIONS
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Original Articles

Fast iterative algorithms for solving the minimization of curvature-related functionals in surface fairing

Carlos Brito-Loeza Facultad de Matemáticas, Universidad Autónoma de Yucatán, Yucatán, MéxicoCorrespondence[email protected] [email protected]
&
Ke Chen Centre for Mathematical Imaging Techniques and Department of Mathematical Sciences, University of Liverpool, Liverpool, L69 7ZL, UK
Pages 92-108 | Received 08 Feb 2012, Accepted 08 Aug 2012, Published online: 11 Sep 2012

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Ke Chen. (2013) Introduction to variational image-processing models and applications. International Journal of Computer Mathematics 90:1, pages 1-8.
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Articles from other publishers (5)

Siriwan Chankan, Noppadol Chumchob & Pornpimon Sroisangwan. (2023) A novel image denoising approach based on a curvature-based regularization. Signal, Image and Video Processing 17:5, pages 2129-2136.
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Faisal Fairag & Shahbaz Ahmad. (2019) A Two-Level Method for Image Deblurring Problem. A Two-Level Method for Image Deblurring Problem.
Roland Glowinski, Shousheng Luo & Xue-Cheng Tai. 2019. Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2. Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2 191 232 .
Zhizhong Zheng, Ailong Cai, Lei Li, Bin Yan, Fulong Le, Linyuan Wang & Guoen Hu. (2017) Sparse-view image reconstruction via total absolute curvature combining total variation for X-ray computed tomography. Journal of X-Ray Science and Technology 25:6, pages 959-980.
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Carlos Brito-Loeza, Ke Chen & Victor Uc-Cetina. (2016) Image denoising using the Gaussian curvature of the image surface. Numerical Methods for Partial Differential Equations 32:3, pages 1066-1089.
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