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dc.contributor.advisorKwon, Hyuck M.en_US
dc.contributor.advisorJayaweera, Sudharman K.en_US
dc.contributor.authorJayasooriya, Chandana K. K.
dc.date.accessioned2007-08-15T14:02:18Z
dc.date.available2007-08-15T14:02:18Z
dc.date.issued2006-12
dc.identifier.othert06125
dc.identifier.urihttp://hdl.handle.net/10057/649
dc.descriptionThesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical and Computer Engineeringen
dc.description"December 2006."en
dc.description.abstractConstruction of a mosaic image using a set of low resolution images taken at different zoom settings and at different angles was investigated in this thesis. The proposed reconstruction algorithm uses the zoom based super resolution technique, based on maximum likelihood estimate. A computationally less intensive point matching algorithm was introduced based on a known algorithm. The simulation results show that the implemented algorithm can find point correspondences of images successfully, even they are differently zoomed, that helps for image registration.en
dc.description.sponsorshipKansas National Science Foundation (NSF) EPSCOR Program, First Award Grant KUCR #NSF32241en
dc.format.extentix, 50 leaves: ill., digital, PDF file.
dc.format.extent3134938 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen
dc.rightsCopyright Chandana K.K.Jayasooriya, 2006. All rights reserved.en
dc.subject.lcshElectronic dissertationsen
dc.titleZoom-based super-resolution image reconstruction from images with different orientationsen
dc.typeThesisen


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