&lt;title&gt;Zero estimation for blind deconvolution from noisy sampled data&lt;/title&gt;

Chen, Pi-Tung; Fiddy, Michael A.; Greenaway, A. H.; Wang, Yuanjie

doi:10.1117/12.161996

Cited by 4 publications

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“…We have exploited these analytic constraints directly (see also [5]), and in this paper describe a technique which lends itself to spectral recovery from intensity data as applied to either the Fourier phase retrieval problem or blind deconvolution. Making use of these analytic properties of spectra has received much attention.…”

Section: Introductionmentioning

confidence: 99%

<title>Two-dimensional blind deconvolution from point zero locations</title>

Chen

Fiddy

1994

SPIE Proceedings

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Assuming that two-dimensional bandlimited functions are always non-factorizable, one can use this property to separate the product of two bandlimited functions into its respective factors. The contour in C2 on which each bandlimited function is zero, typically intersects with the real plane at isolated points and the location of these zeros can be used to write a factorizable approximation to the original irreducible complex spectrum. From two differently blurred images, the point zero set from the object's spectrum can be separated from those of the blurring functions by inspection, allowing the object to be reconstructed; examples are given and the importance of this for Fourier phase retrieval is also discussed.

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Section: Introductionmentioning

confidence: 99%