Persistent Link:
http://hdl.handle.net/10150/291988
Title:
New methods for super-resolution
Author:
Walsh, David Oliver, 1966-
Issue Date:
1993
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
This thesis presents a new, non-iterative method for super-resolution which we call the direct method. By exploiting the inherent structure of the discrete signal processing environment, the direct method reduces the discrete super-resolution problem to solving a linear set of equations. The direct method is shown to be closely related to the Gerchberg algorithm for super-resolution. A mathematical justification for early termination of the Gerchberg algorithm is presented and the design of optimal termination schemes is discussed. Another new super-resolution method, which we call the SVD method, is presented. The SVD method is based on the direct method and employs SVD techniques to minimize errors in the solution due to noise and aliasing errors on the known frequency samples. The new SVD method is shown to provide results nearly identical to the optimal solution given by the Gerchberg algorithm, with huge savings in time and computational work.
Type:
text; Thesis-Reproduction (electronic)
Keywords:
Engineering, Electronics and Electrical.; Computer Science.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Graduate College; Electrical and Computer Engineering
Degree Grantor:
University of Arizona
Advisor:
Nielsen, Pamela A.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleNew methods for super-resolutionen_US
dc.creatorWalsh, David Oliver, 1966-en_US
dc.contributor.authorWalsh, David Oliver, 1966-en_US
dc.date.issued1993en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractThis thesis presents a new, non-iterative method for super-resolution which we call the direct method. By exploiting the inherent structure of the discrete signal processing environment, the direct method reduces the discrete super-resolution problem to solving a linear set of equations. The direct method is shown to be closely related to the Gerchberg algorithm for super-resolution. A mathematical justification for early termination of the Gerchberg algorithm is presented and the design of optimal termination schemes is discussed. Another new super-resolution method, which we call the SVD method, is presented. The SVD method is based on the direct method and employs SVD techniques to minimize errors in the solution due to noise and aliasing errors on the known frequency samples. The new SVD method is shown to provide results nearly identical to the optimal solution given by the Gerchberg algorithm, with huge savings in time and computational work.en_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
dc.subjectEngineering, Electronics and Electrical.en_US
dc.subjectComputer Science.en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineElectrical and Computer Engineeringen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorNielsen, Pamela A.en_US
dc.identifier.proquest1353117en_US
dc.identifier.bibrecord.b27687818en_US
All Items in UA Campus Repository are protected by copyright, with all rights reserved, unless otherwise indicated.