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Proceedings Paper

Regularized algorithm for reconstructing an object from a frequency-limited noised image
Author(s): O. V. Laptev; Victor V. Kotlyar
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Paper Abstract

We discuss a generalization of the familiar iterative regular algorithm on the case of reconstructing an object function from the known modulus of the frequency-limited image with noise. The stabilizing constant is either fitted in an optimal way or decreased with the increasing number of iterations. Numerical examples are presented.

Paper Details

Date Published: 10 March 1998
PDF: 9 pages
Proc. SPIE 3348, Optical Information Science and Technology (OIST97): Computer and Holographic Optics and Image Processing, (10 March 1998); doi: 10.1117/12.302499
Show Author Affiliations
O. V. Laptev, Image Processing Systems Institute (Russia)
Victor V. Kotlyar, Image Processing Systems Institute (Russia)


Published in SPIE Proceedings Vol. 3348:
Optical Information Science and Technology (OIST97): Computer and Holographic Optics and Image Processing
Andrei L. Mikaelian, Editor(s)

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