Title :
Nonlinear Restoration of Noisy Images
Author :
Abramatic, Jean-Francois ; Silverman, Leonard M.
Author_Institution :
MEMBER, IEEE, Institut National de Recherche en Informatique et Automatique, Le Chesnay, France.
fDate :
3/1/1982 12:00:00 AM
Abstract :
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.
Keywords :
Additive white noise; Degradation; Filtering; Image restoration; Low pass filters; Nonlinear distortion; Nonlinear filters; Random processes; Signal restoration; Wiener filter; Image restoration; nonlinear filter; nonlinear restoration;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.1982.4767220
