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Conference Paper: Super-resolution images from blurred observations

TitleSuper-resolution images from blurred observations
Authors
Yau, Andy C.Ng, Michael K.
KeywordsImage reconstruction
Regularization
High-resolution
Fourier transform
Circulant matrix
Issue Date2003
Citation
Optical Science and Technology, SPIE's 48th Annual Meeting, San Diego, CA, 3-8 August 2003. In Proceedings of SPIE - The International Society for Optical Engineering, 2003, v. 5205, p. 328-335 How to Cite?
DOI: http://dx.doi.org/10.1117/12.505015
AbstractIn this paper, we present a technique for generating a high-resolution image from a blurred image sequence. The image sequence consists of decimated, blurred and noisy versions of the high-resolution image. The high-resolution image. The high-resolution resolution image is modeled as a Markov random field, and a maximum a posteriori estimation technique is used for image restoration. A fast algorithm based on Fast Fourier Transforms (FFTs) is derived to solve the resulting linear system. Numerical examples are given to illustrate the effectiveness of the method.
Persistent Identifierhttp://hdl.handle.net/10722/276746
ISSN
0277-786X
2023 SCImago Journal Rankings: 0.152

 

DC FieldValueLanguage
dc.contributor.authorYau, Andy C.-
dc.contributor.authorNg, Michael K.-
dc.date.accessioned2019-09-18T08:34:32Z-
dc.date.available2019-09-18T08:34:32Z-
dc.date.issued2003-
dc.identifier.citationOptical Science and Technology, SPIE's 48th Annual Meeting, San Diego, CA, 3-8 August 2003. In Proceedings of SPIE - The International Society for Optical Engineering, 2003, v. 5205, p. 328-335-
dc.identifier.issn0277-786X-
dc.identifier.urihttp://hdl.handle.net/10722/276746-
dc.description.abstractIn this paper, we present a technique for generating a high-resolution image from a blurred image sequence. The image sequence consists of decimated, blurred and noisy versions of the high-resolution image. The high-resolution image. The high-resolution resolution image is modeled as a Markov random field, and a maximum a posteriori estimation technique is used for image restoration. A fast algorithm based on Fast Fourier Transforms (FFTs) is derived to solve the resulting linear system. Numerical examples are given to illustrate the effectiveness of the method.-
dc.languageeng-
dc.relation.ispartofProceedings of SPIE - The International Society for Optical Engineering-
dc.subjectImage reconstruction-
dc.subjectRegularization-
dc.subjectHigh-resolution-
dc.subjectFourier transform-
dc.subjectCirculant matrix-
dc.titleSuper-resolution images from blurred observations-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1117/12.505015-
dc.identifier.scopuseid_2-s2.0-1842555496-
dc.identifier.volume5205-
dc.identifier.spage328-
dc.identifier.epage335-
dc.identifier.issnl0277-786X-

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