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On Gerchberg's method for the Fourier inverse problem

Published online by Cambridge University Press:  17 February 2009

T. J. Connolly,
K. A. Landman and
L. R. White
L. R. White
Affiliation:
Department of Mathematics, University of Melbourne, Parkville Victoria 3052, Australia.
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Abstract

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If a finite segment of a spectrum is known, the determination of the finite object function in image space (or the full spectrum in frequency space) is a fundamental problem in image analysis. Gerchberg's method, which solves this problem, can be formulated as a fixed point iteration. This and other related algorithms are shown to be equivalent to a steepest descent method applied to the minimization of an appropriate functional for the Fourier Inversion Problem. Optimal steepest descent and conjugate gradient methods are derived. Numerical results from the application of these techniques are presented. The regularization of the problem and control of noise growth in the iteration are also discussed.

Information

Type
Research Article
Information
The ANZIAM Journal , Volume 37 , Issue 1 , July 1995, pp. 26 - 44
Copyright
Copyright © Australian Mathematical Society 1995

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