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Nonlinear Restoration of Noisy Images

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

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:

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

Date of Publication:

March 1982

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