Algorithm for calculating Poisson noise on image intensity correlations

Please use this identifier to cite or link to this item: http://hdl.handle.net/2289/2387

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DC Field	Value	Language
dc.contributor.author	Karbelkar, S.N.	-
dc.date.accessioned	2007-05-25T06:32:45Z	-
dc.date.available	2007-05-25T06:32:45Z	-
dc.date.issued	1990	-
dc.identifier.citation	Journal of the Optical Society of America, 1990, Vol.7, p1332-1336	en
dc.identifier.issn	1084-7529	-
dc.identifier.uri	http://hdl.handle.net/2289/2387	-
dc.description	Restricted Access.	en
dc.description.abstract	At low light levels the photonic nature of light introduces dominant bias terms into the intensity correlations that need compensation. We present an unbiased estimator, and the noise on it, for a general Nth-order correlation of an arbitrary (although time-independent) image intensity distribution. The diagrammatic rules presented here for various noise terms serve as a useful bookkeeping device.	en
dc.format.extent	479701 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	en
dc.publisher	Optical Society of America	en
dc.relation.uri	http://www.opticsinfobase.org/abstract.cfm?URI=josaa-7-7-1332	en
dc.rights	1990 Optical Society of America	en
dc.title	Algorithm for calculating Poisson noise on image intensity correlations	en
dc.type	Article	en
Appears in Collections:	Research Papers (A&A)

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