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17th International Conference on Pattern Recognition (ICPR'04) - Volume 4
A Robust Regularised Restoration Algorithm Based on Topkis-Veinott Optimisation Method
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
Daan Zhu, University of East Anglia, U.K.
Moe Razaz, University of East Anglia, U.K.
Richard Lee, University of East Anglia, U.K.
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.
Citation:
Daan Zhu, Moe Razaz, Richard Lee, "A Robust Regularised Restoration Algorithm Based on Topkis-Veinott Optimisation Method," icpr, vol. 4, pp.705-708, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 4, 2004
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