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Proceedings Paper

Nonlinear Detection And Estimation Of Images Degraded By Film-Grain Noise
Author(s): F. Naderi; A. A. Sawchuk
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Paper Abstract

Taking into account the chemical and optical degrading factors as well as the granularity noise results in a subjectively reasonable mathematical model for the formation and recording of photographic images. This model represents highly nonlinear observations, making the subsequent restoration difficult. When images are scanned with very small apertures on a microdensitometer, the noise is so severe that conventional estimators do not perform well. In these cases detection schemes suited to individual degraded pictures are much more effective. When the noise is not so severe, an adaptive minimum mean square error filter can be applied. This filter explicitly includes the nonlinear image formation effects and does not require the assumption of stationary image statistics.

Paper Details

Date Published: 9 July 1976
PDF: 8 pages
Proc. SPIE 0074, Image Processing, (9 July 1976); doi: 10.1117/12.954693
Show Author Affiliations
F. Naderi, University of Southern California (United States)
A. A. Sawchuk, University of Southern California (United States)

Published in SPIE Proceedings Vol. 0074:
Image Processing
John C. Urbach, Editor(s)

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