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dc.contributor.authorFrieden, B. Roy
dc.date.accessioned2016-12-14T19:21:24Z
dc.date.available2016-12-14T19:21:24Z
dc.date.issued1969-10-31
dc.identifier.urihttp://hdl.handle.net/10150/621640
dc.descriptionQC 351 A7 no. 46en
dc.description.abstractSimple inverse filtering of each spectral component of a color picture can lead to serious misregistration of the restorations. This is a consequence of the nonlinearity of the photographic process, which distorts edges of objects in an unknown manner. To force three restorations that do register, we tack onto the usual term describing mean -square resemblance to the object scene the constraint of mutual resemblance among the three restorations themselves. This term is highly sensitive to phase errors (misregistrations) among its three members. The optimum three filters complying with this minimization problem are found. A simple case is examined, in order to judge the manner by which the restoring filters force a mean-square resemblance to the original object scene and, simultaneously, a mutual registration among the three restorations.
dc.language.isoen_USen
dc.publisherOptical Sciences Center, University of Arizona (Tucson, Arizona)en
dc.relation.ispartofseriesOptical Sciences Technical Report 46en
dc.rightsCopyright © Arizona Board of Regents
dc.subjectOptics.en
dc.titleIMAGE PROCESSING IN COLOR: WIENER FILTERS FOR RESTORING AND REGISTERING THE SPECTRAL COMPONENTS OF POLYCHROMATIC PICTURESen_US
dc.typeTechnical Reporten
dc.description.collectioninformationThis title from the Optical Sciences Technical Reports collection is made available by the College of Optical Sciences and the University Libraries, The University of Arizona. If you have questions about titles in this collection, please contact repository@u.library.arizona.edu.
refterms.dateFOA2018-05-30T10:27:26Z
html.description.abstractSimple inverse filtering of each spectral component of a color picture can lead to serious misregistration of the restorations. This is a consequence of the nonlinearity of the photographic process, which distorts edges of objects in an unknown manner. To force three restorations that do register, we tack onto the usual term describing mean -square resemblance to the object scene the constraint of mutual resemblance among the three restorations themselves. This term is highly sensitive to phase errors (misregistrations) among its three members. The optimum three filters complying with this minimization problem are found. A simple case is examined, in order to judge the manner by which the restoring filters force a mean-square resemblance to the original object scene and, simultaneously, a mutual registration among the three restorations.


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