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Proceedings Paper

Nonlinear Image Restoration With Signal-Dependent Noise
Author(s): B. R. Hunt; H. J. Trussell
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Paper Abstract

Nonlinear image restoration is posed in terms of optimization by iterative computations. The iterative computations are decomposed spatially to develop an algorithm which is sensitive to local image variations. The application of this decomposed local algorithm to signal-dependent noise is discussed.

Paper Details

Date Published: 8 December 1977
PDF: 5 pages
Proc. SPIE 0119, Applications of Digital Image Processing, (8 December 1977); doi: 10.1117/12.955722
Show Author Affiliations
B. R. Hunt, University of Arizona (United States)
H. J. Trussell, Los Alamos Scientific Lab (United States)

Published in SPIE Proceedings Vol. 0119:
Applications of Digital Image Processing
Andrew G. Tescher, Editor(s)

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