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Proceedings Paper

Image reconstruction using the phase variance algorithm
Author(s): James R. Fienup
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Paper Abstract

In many imaging situations the quality of the image is degraded by phase errors. In this paper we describe an algorithm for correcting phase errors. It is applicable to cases in which the phase- error-degraded complex Fourier transform of the aberrated image is available; these include imaging with heterodyne sensors or with interferometric sensors. The phase-error correction algorithm is a variation on the iterative Fourier transform (phase retrieval) algorithm. It uses a support constraint on the object, making it useful for imaging bright objects on dark backgrounds. It can be extended to include uncertainties in both the modulus and the phase of the Fourier transform.

Paper Details

Date Published: 1 November 1990
PDF: 9 pages
Proc. SPIE 1351, Digital Image Synthesis and Inverse Optics, (1 November 1990); doi: 10.1117/12.23673
Show Author Affiliations
James R. Fienup, Environmental Research Institute of Michigan (United States)

Published in SPIE Proceedings Vol. 1351:
Digital Image Synthesis and Inverse Optics
Arthur F. Gmitro; Paul S. Idell; Ivan J. LaHaie, Editor(s)

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