A robust regularized restoration algorithm based on Topkis-Veinott optimization method

Zhu, Daan, Razaz, M. and Lee, R. (2004) A robust regularized restoration algorithm based on Topkis-Veinott optimization method. In: 17th International Conference on Pattern Recognition, 2004-08-23 - 2004-08-26.

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Abstract

We present a robust iterative algorithm for restoration of blurred and noisy images. The restoration model is first regularised and then solved iteratively. An optimal regularisation parameter is estimated using the Topkis-Veinott gradient method. This restoration algorithm is compared with other competitive restoration algorithms in the literature. Experimental results are presented to demonstrate the comparative important features of our algorithm, namely, robustness in the presence of noise and high quality restoration results.

Item Type:	Conference or Workshop Item (Other)
Faculty \ School:	Faculty of Science > School of Computing Sciences
Depositing User:	EPrints Services
Date Deposited:	01 Oct 2010 13:43
Last Modified:	24 Sep 2024 07:13
URI:	https://ueaeprints.uea.ac.uk/id/eprint/3955
DOI:	10.1109/ICPR.2004.1333870

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