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Robust edge-preserving image restoration in the presence of non-Gaussian noise

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3 Author(s)
S. V. Voloshynovskiy ; Fac. of Comput. Sci., Geneva Univ., Switzerland ; A. R. Allen ; Z. D. Hrytskiv

An approach to image restoration is presented which combines the properties of classical regularised iterative algorithms and M-estimation. The method is based on a penalised maximum likelihood estimation incorporating a generalised robust objective function which takes into account non-Gaussian noise and edge-preserving image priors. Results are presented which demonstrate the effectiveness of the method with low-resolution noisy images of simulated landmines.

Published in:

Electronics Letters  (Volume:36 ,  Issue: 24 )