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Nonlinear Restoration of Noisy Images

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2 Author(s)
Jean-Francois Abramatic ; MEMBER, IEEE, Institut National de Recherche en Informatique et Automatique, Le Chesnay, France. ; Leonard M. Silverman

The restoration of images degraded by an additive white noise is performed by nonlinearly filtering a noisy image. The standard Wiener approach to this problem is modified to take into account the edge information of the image. Various filters of increasing complexity are derived. Experimental results are shown and compared to the standard Wiener filter results and other earlier attempts involving nonstationary filters.

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:PAMI-4 ,  Issue: 2 )