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dc.contributor.authorFried, David L.
dc.date1995-05
dc.date.accessioned2014-12-10T19:07:52Z
dc.date.available2014-12-10T19:07:52Z
dc.date.issued1995-05
dc.identifier.urihttp://hdl.handle.net/10945/44104
dc.descriptionJ. Opt. Soc. Am. A, Volume 12, No. 5, 853-860, (May 1995)en_US
dc.description.abstractThe 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.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleAnalysis of the CLEAN algorithm and implications for superresolutionen_US
dc.contributor.departmentDepartment of Physics


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