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

Allen, Alistar
Hrytskiv, Z.
Published in Electronics Letters. 2000, vol. 36, no. 24, p. 2006-2007
Abstract 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.
Keywords • edge detection• image restoration• iterative methods• maximum likelihood estimation• random noise
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Research groups Computer Vision and Multimedia Laboratory
Stochastic Information Processing Group
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VOLOSHYNOVSKYY, Svyatoslav, ALLEN, Alistar, HRYTSKIV, Z. Robust edge-preserving image restoration in the presence of non-Gaussian noise. In: Electronics Letters, 2000, vol. 36, n° 24, p. 2006-2007. https://archive-ouverte.unige.ch/unige:47512

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Deposited on : 2015-03-03

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