A Class of Nonconvex Nonsmooth Approximate Potential Functions for Nonconvex Nonsmooth Image Restoration

DOI

10.2991/iccsee.2013.360How to use a DOI?

Keywords

nonconvex nonsmooth, potential function, image restoration, algorithm

Abstract

Nonconvex nonsmooth potential functions have superior restoration performance for the images with neat boundaries. However, several difficulties emerge from the numerical computation. Thus the graduated nonconvex (GNC) method is suggested to deal with these problems. To improve the performance of the GNC method further, a class of nonconvex nonsmooth approximate potential functions have been constructed in this paper, which can help our get a better initial value of the original problem. The numerical results show the restored quality and efficiency of the proposed methods.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiao-Guang Liu
AU  - Xing-Bao Gao
PY  - 2013/03
DA  - 2013/03
TI  - A Class of Nonconvex Nonsmooth Approximate Potential Functions for Nonconvex Nonsmooth Image Restoration
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1430
EP  - 1433
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.360
DO  - 10.2991/iccsee.2013.360
ID  - Liu2013/03
ER  -