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Conference Paper: Blind deconvolution of bi-level images with successive filtering

TitleBlind deconvolution of bi-level images with successive filtering
Authors
KeywordsBi-level images
Blind deconvolution
Image restoration
Iteration
Resolution enhancement
Issue Date2006
PublisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xml
Citation
Proceedings Of Spie - The International Society For Optical Engineering, 2006, v. 6027 II How to Cite?
AbstractMany imaging systems are involved in the capture of bi-level objects such as documents and bar codes. However, due to optical aberrations and other degradations such as from motion, the resulting images are no longer bi-level. Restoration is therefore necessary to produce a nearly bi-level output, which is much more convenient for further processing including recognition and identification. In this work, we tackle the problem using successive filtering, where each step is formulated as a quadratic programming optimization problem. This has the properties of fast convergence and good numerical stability. Simulation results show that by integrating the computation in the imaging system, this method is able to restore weak signals.
Persistent Identifierhttp://hdl.handle.net/10722/99530
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorLam, EYen_HK
dc.date.accessioned2010-09-25T18:34:11Z-
dc.date.available2010-09-25T18:34:11Z-
dc.date.issued2006en_HK
dc.identifier.citationProceedings Of Spie - The International Society For Optical Engineering, 2006, v. 6027 IIen_HK
dc.identifier.issn0277-786Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/99530-
dc.description.abstractMany imaging systems are involved in the capture of bi-level objects such as documents and bar codes. However, due to optical aberrations and other degradations such as from motion, the resulting images are no longer bi-level. Restoration is therefore necessary to produce a nearly bi-level output, which is much more convenient for further processing including recognition and identification. In this work, we tackle the problem using successive filtering, where each step is formulated as a quadratic programming optimization problem. This has the properties of fast convergence and good numerical stability. Simulation results show that by integrating the computation in the imaging system, this method is able to restore weak signals.en_HK
dc.languageengen_HK
dc.publisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xmlen_HK
dc.relation.ispartofProceedings of SPIE - The International Society for Optical Engineeringen_HK
dc.subjectBi-level imagesen_HK
dc.subjectBlind deconvolutionen_HK
dc.subjectImage restorationen_HK
dc.subjectIterationen_HK
dc.subjectResolution enhancementen_HK
dc.titleBlind deconvolution of bi-level images with successive filteringen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailLam, EY:elam@eee.hku.hken_HK
dc.identifier.authorityLam, EY=rp00131en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1117/12.668623en_HK
dc.identifier.scopuseid_2-s2.0-33645242358en_HK
dc.identifier.hkuros117397en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33645242358&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume6027 IIen_HK
dc.identifier.spage1228en_HK
dc.identifier.epage1233en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridLam, EY=7102890004en_HK

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