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Proceedings Paper

Signal Recovery From Signal Dependent Noise
Author(s): Rangachar Kasturi; Thomas F. Krile; John F. Walkup
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Paper Abstract

It is well known that the noise processes corrupting an image are in general signal-dependent. An interesting aspect of signal-dependent noise is that there is a certain amount of signal-information embedded in the noise. Most of the image restoration techniques, however, attempt to suppress the noise terms to obtain an estimate of the image and do not exploit the additional signal information contained in the noise. A simple technique designed to demonstrate the potential for signal extraction from signal-dependent noise is presented in this paper.

Paper Details

Date Published: 17 March 1983
PDF: 6 pages
Proc. SPIE 0359, Applications of Digital Image Processing IV, (17 March 1983); doi: 10.1117/12.965945
Show Author Affiliations
Rangachar Kasturi, Texas Tech University (United States)
Thomas F. Krile, Texas Tech University (United States)
John F. Walkup, Texas Tech University (United States)

Published in SPIE Proceedings Vol. 0359:
Applications of Digital Image Processing IV
Andrew G. Tescher, Editor(s)

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