Skip to Main content Skip to Navigation
Reports

Autonomous algorithms for image restoration

Meir Griniasty 1
1 PASTIS - Scene Analysis and Symbolic Image Processing
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : We describe a general theoretical framework for algorithms that adaptively tune all their parameters during the restoration of a noisy image. The adaptation procedure is based on a mean field approach which is known as ``Deterministic Annealing'', and is reminiscent of the ``Deterministic Bolzmann Machiné'. The algorithm is less time consuming in comparison with its simulated annealing alternative. We apply the theory to several architectures and compare their performances.
Document type :
Reports
Complete list of metadata

https://hal.inria.fr/inria-00074270
Contributor : Rapport de Recherche Inria <>
Submitted on : Wednesday, May 24, 2006 - 2:54:21 PM
Last modification on : Saturday, January 27, 2018 - 1:31:28 AM
Long-term archiving on: : Tuesday, April 12, 2011 - 4:21:43 PM

Identifiers

  • HAL Id : inria-00074270, version 1

Collections

Citation

Meir Griniasty. Autonomous algorithms for image restoration. RR-2405, INRIA. 1994. ⟨inria-00074270⟩

Share

Metrics

Record views

133

Files downloads

126