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Scientific Article
unige:47512 
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Robust edge-preserving image restoration in the presence of non-Gaussian noise |
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| Authors | ||
| 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 | |
| Identifiers | DOI: 10.1049/el:20001399 | |
| Full text |
Article (Published version) (266 Kb) - Limited access to UNIGE Other version: http://www.crossref.org/iPage?doi=10.1049%2Fel%3A20001399 |
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| Structures | ||
| Research groups | Computer Vision and Multimedia Laboratory Stochastic Information Processing Group | |
| Citation (ISO format) | 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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