Scientific article

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

Published inElectronics letters, vol. 36, no. 24, p. 2006-2007
Publication date2000

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.

  • Edge detection
  • Image restoration
  • Iterative methods
  • Maximum likelihood estimation
  • Random noise
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. doi: 10.1049/el:20001399
Main files (1)
Article (Published version)
ISSN of the journal0013-5194

Technical informations

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