Share Email Print

Proceedings Paper

A General, Iterative Method Of Image Recovery
Author(s): R. J. Mammone; C. I. Podilchuk
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

A general iterative method of restoring linearly degraded images has been introduced recently [J. Opt. Soc. Amer., 4, 208-215 (1987)]. In this paper, the general method is reformulated into a more tractable fixed point iterative procedure. The new formulation is shown to be an implementation of the steepest descent algorithm. The inherent step size of the generalized method is found to be responsible for its slow convergence. A new method is presented whose increased step size offers accelerated convergence. The realization of the new accelerated method is shown to require only a minor modification of the original algorithm. A new stopping criterion is also introduced. Computer simulations demonstrate a significant improvement in the rate of convergence of the new method.

Paper Details

Date Published: 13 October 1987
PDF: 6 pages
Proc. SPIE 0845, Visual Communications and Image Processing II, (13 October 1987); doi: 10.1117/12.976505
Show Author Affiliations
R. J. Mammone, Rutgers, The State University (United States)
C. I. Podilchuk, Rutgers, The State University (United States)

Published in SPIE Proceedings Vol. 0845:
Visual Communications and Image Processing II
T. Russell Hsing, Editor(s)

© SPIE. Terms of Use
Back to Top