Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/97541
Title: A ridge and corner preserving model for surface restoration
Authors: Chan, Tony F.
Lai, Rongjie
Tai, Xue Cheng
Issue Date: 2013
Source: Lai, R., Tai, X. C.,& Chan, T. F. (2013). A Ridge and Corner Preserving Model for Surface Restoration. SIAM Journal on Scientific Computing, 35(2), A675-A695.
Series/Report no.: SIAM journal on scientific computing
Abstract: One challenge in surface restoration is to design surface diffusion preserving ridges and sharp corners. In this paper, we propose a new surface restoration model based on the observation that surfaces' implicit representations are continuous functions whose first order derivatives have discontinuities at ridges and sharp corners. Regularized by vectorial total variation on the derivatives of surfaces' implicit representation functions, the proposed model has ridge and corner preserving properties validated by numerical experiments. To solve the proposed fourth order and convex problem efficiently, we further design a numerical algorithm based on the augmented Lagrangian method. Moreover, the theoretical convergence analysis of the proposed algorithm is also provided. To demonstrate the efficiency and robustness of the proposed method, we show restoration results on several different surfaces and also conduct comparisons with the mean curvature flow method and the nonlocal mean method.
URI: https://hdl.handle.net/10356/97541
http://hdl.handle.net/10220/13175
DOI: 10.1137/110846634
Rights: © 2013 Society for Industrial and Applied Mathematics. This paper was published in SIAM Journal on Scientific Computing and is made available as an electronic reprint (preprint) with permission of Society for Industrial and Applied Mathematics. The paper can be found at the following official DOI: [http://dx.doi.org/10.1137/110846634].  One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SPMS Journal Articles

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