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dc.contributor.authorLiu, PCen_US
dc.contributor.authorShen, WZen_US
dc.contributor.authorChang, WTen_US
dc.date.accessioned2014-12-08T15:27:24Z-
dc.date.available2014-12-08T15:27:24Z-
dc.date.issued1997en_US
dc.identifier.isbn0-8194-2435-8en_US
dc.identifier.urihttp://hdl.handle.net/11536/19663-
dc.identifier.urihttp://dx.doi.org/10.1117/12.263271en_US
dc.description.abstractFrom the linearized Taylor series expansion, an iterative, gradient-based method is used to estimate the zoom and pan motion parameters. In order to take into account the high order expansion error, the Wiener filtering techniques are investigated. It is shown that the expansion error can be efficiently removed with the Wiener filter. However, the reliability of the estimated parameters is still highly dependent upon the accuracy of the gradient information of the images.en_US
dc.language.isoen_USen_US
dc.subjectmotion parameter estimationen_US
dc.subjectWiener filteren_US
dc.subjectzooming factor estimationen_US
dc.titleWiener filter for zoom parameter estimation in three-parameter motion modelen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1117/12.263271en_US
dc.identifier.journalVISUAL COMMUNICATIONS AND IMAGE PROCESSING '97, PTS 1-2en_US
dc.citation.volume3024en_US
dc.citation.spage590en_US
dc.citation.epage599en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.department電子工程學系及電子研究所zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.contributor.departmentDepartment of Electronics Engineering and Institute of Electronicsen_US
dc.identifier.wosnumberWOS:A1997BH22F00056-
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