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Nonlinear Restoration of Noisy Images
February 1982 (vol. 4 no. 2)
pp. 141-149
Jean-Francois Abramatic, MEMBER, IEEE, Institut National de Recherche en Informatique et Automatique, Le Chesnay, France.
Leonard M. Silverman, FELLOW, IEEE, Department of Electrical Engineering, University of Southern California, Los Angeles, CA 90007.
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.
Citation:
Jean-Francois Abramatic, Leonard M. Silverman, "Nonlinear Restoration of Noisy Images," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 4, no. 2, pp. 141-149, Feb. 1982, doi:10.1109/TPAMI.1982.4767220
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