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Proceedings Paper

Automatic Deconvolution And Phase Retrieval
Author(s): R. H.T. Bates; R. G. Lane
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Paper Abstract

The close relationship between Fourier phase retrieval and blind deconvolution is discussed. In this paper we show how advances made in phase retrieval can be successfully applied to solving problems requiring blind deconvolution. Firstly we describe how Fienup's iterative algorithms can be used as the first stage in a deconvolution strategy. In contrast to earlier direct techniques, which all appear to be very susceptible to noise, the deconvolution algorithm presented herein is capable of image recovery in the presence of appreciable noise. Secondly we discuss an extension to our zero-and-add technique which incorporates the greatly increased informational content in the zeros of multi-dimensional, as opposed to one-dimensional, images. It appears that the concept of zero-sheets can be invoked to improve the robustness of zero-and-add.

Paper Details

Date Published: 29 January 1988
PDF: 7 pages
Proc. SPIE 0828, Digital Image Recovery and Synthesis, (29 January 1988); doi: 10.1117/12.942094
Show Author Affiliations
R. H.T. Bates, University of Canterbury (New Zealand)
R. G. Lane, University of Canterbury (New Zealand)


Published in SPIE Proceedings Vol. 0828:
Digital Image Recovery and Synthesis
Paul S. Idell, Editor(s)

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