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

S V Voloshynovskiy, A R Allen, Z D Hrytskiv

Research output: Contribution to journalArticle

2 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)2006-2007
Number of pages2
JournalElectronics Letters
Volume36
Publication statusPublished - 2000

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