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Conference Paper: CONSTRAINED OPTIMIZATION FOR IMAGE RESTORATION USING NONLINEAR PROGRAMMING.

TitleCONSTRAINED OPTIMIZATION FOR IMAGE RESTORATION USING NONLINEAR PROGRAMMING.
Authors
KeywordsMATHEMATICAL PROGRAMMING, NONLINEAR
OPTIMIZATION
Issue Date1985
Citation
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 1985, p. 676-679 How to Cite?
AbstractThe constrained optimization problem for image restoration, utilizing incomplete information and partial constraints, is formulated using nonlinear programming techniques. This method restores a distorted image by optimizing a chosen object function subject to available constraints. The penalty function method of nonlinear programming is used. Both linear or nonlinear object function and linear or nonlinear constraint functions can be incorporated in the formulation. This formulation provides a generalized approach for solving constrained optimization problems for image restoration. Experiments using this scheme have been performed. The results are compared with those obtained from other restoration methods.
Persistent Identifierhttp://hdl.handle.net/10722/65569
ISSN

 

DC FieldValueLanguage
dc.contributor.authorYeh, ChiaLungen_HK
dc.contributor.authorChin, Roland Ten_HK
dc.date.accessioned2010-08-31T07:16:10Z-
dc.date.available2010-08-31T07:16:10Z-
dc.date.issued1985en_HK
dc.identifier.citationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 1985, p. 676-679en_HK
dc.identifier.issn0736-7791en_HK
dc.identifier.urihttp://hdl.handle.net/10722/65569-
dc.description.abstractThe constrained optimization problem for image restoration, utilizing incomplete information and partial constraints, is formulated using nonlinear programming techniques. This method restores a distorted image by optimizing a chosen object function subject to available constraints. The penalty function method of nonlinear programming is used. Both linear or nonlinear object function and linear or nonlinear constraint functions can be incorporated in the formulation. This formulation provides a generalized approach for solving constrained optimization problems for image restoration. Experiments using this scheme have been performed. The results are compared with those obtained from other restoration methods.en_HK
dc.languageengen_HK
dc.relation.ispartofICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedingsen_HK
dc.subjectMATHEMATICAL PROGRAMMING, NONLINEARen_HK
dc.subjectOPTIMIZATIONen_HK
dc.titleCONSTRAINED OPTIMIZATION FOR IMAGE RESTORATION USING NONLINEAR PROGRAMMING.en_HK
dc.typeConference_Paperen_HK
dc.identifier.emailChin, Roland T: rchin@hku.hken_HK
dc.identifier.authorityChin, Roland T=rp01300en_HK
dc.description.naturelink_to_subscribed_fulltexten_HK
dc.identifier.scopuseid_2-s2.0-0022227208en_HK
dc.identifier.spage676en_HK
dc.identifier.epage679en_HK
dc.identifier.scopusauthoridYeh, ChiaLung=7401671792en_HK
dc.identifier.scopusauthoridChin, Roland T=7102445426en_HK

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