Analysis of the CLEAN algorithm and implications for superresolution
Abstract
The capability of the CLEAN algorithm, which is able to develop image information corresponding to spatial
frequencies for which the imaging systems optical transfer function (OTF) is equal to zero, is shown to be
dependent on the limited size of the object being imaged. It is found that this capability is available without
a severe signal-to-noise-ratio penalty only for the recovery of a spatial frequency that is sufficiently close to
some other spatial frequency for which the OTF is not equal to zero. As used here the term sufficiently close means that the magnitude of the separation of the spatial frequencies is less than one half of the inverse of the
size of the object being imaged. This represents a limitation of CLEANà à à à ¢ s capability deriving from object size.
It is suggested that this capability can be thought of in terms of superresolution, with the same limitation in
regard to object size.
Description
J. Opt. Soc. Am. A, Volume 12, No. 5, 853-860, (May 1995)
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.Collections
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