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Proceedings Paper

An adaptive edge preserving variational method for color image regularization
Author(s): Zhu Lin; Andrzej Sluzek; MD. Saiful Islam
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Paper Abstract

In this paper, an adaptive edge preserving variational framework for color image regularization is proposed. Unlike previous methods that emphasize only on image regularization term or use constant image fidelity term, in this framework, the balance between image regularization term and fidelity term is elegantly reached by adaptively assigning edge regions higher fidelity weight than homogenous regions. The adaptive fidelity weight is decided by the proposed edge indicator function together with the estimated noise variance. The proposed approach achieves both good noise removal and edge preserving. Experimental results show the improved performance of our framework compared to other existing methods even in highly noised conditions.

Paper Details

Date Published: 24 June 2005
PDF: 12 pages
Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59605Y (24 June 2005); doi: 10.1117/12.633382
Show Author Affiliations
Zhu Lin, Nanyang Technological Univ. (Singapore)
Andrzej Sluzek, Nanyang Technological Univ. (Singapore)
MD. Saiful Islam, Nanyang Technological Univ. (Singapore)

Published in SPIE Proceedings Vol. 5960:
Visual Communications and Image Processing 2005
Shipeng Li; Fernando Pereira; Heung-Yeung Shum; Andrew G. Tescher, Editor(s)

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