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Proceedings Paper

Nonlinear Image Restoration
Author(s): Rangachar Kasturi; John F. Walkup
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Paper Abstract

The presence of signal-dependent image noise sources commonly leads to the use of nonlinear restoration techniques. This paper reviews the use of signal-dependent noise models such as film grain noise and photoelectronic shot noise and describes some of the nonlinear estimators which have been developed for these situations. The usefulness of signal-dependent noise in recovering signal information is also discussed. The results of computer simulations on various test images are presented.

Paper Details

Date Published: 22 July 1985
PDF: 21 pages
Proc. SPIE 0528, Digital Image Processing, (22 July 1985); doi: 10.1117/12.946406
Show Author Affiliations
Rangachar Kasturi, The Pennsylvania State University (United States)
John F. Walkup, Texas Tech University (United States)


Published in SPIE Proceedings Vol. 0528:
Digital Image Processing
Andrew G. Tescher, Editor(s)

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