Restoration of Degraded Images with Maximum Entropy

Authors:
Dominikus Noll
Affiliations:
Université Paul Sabatier, Laboratoire Approximation et Optimisation, 118 route de Narbonne, 31062 Toulouse Cedex, France (e-mail: noll@dumbo.ups-tlse.fr)
Venue:
Journal of Global Optimization
Year:
1997

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Abstract

We present a Maximum Entropy based approach to the restoration ofdegraded images as an alternative to restorationtechniques using inverse Wiener filtering.The method we discuss applies in particularto images corrupted by a relativelyhigh system noise. A variety of experimental results supportingour imaging model are included.