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Conference Paper: Restoration of images with optical aberrations and quantization in a transform domain

TitleRestoration of images with optical aberrations and quantization in a transform domain
Authors
KeywordsAlternating minimization
Discrete cosine transform
Image restoration
Joint optimization
Optical aberrations
Quantization
Issue Date2004
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, 2004, v. 5299, p. 93-100 How to Cite?
AbstractDigital images generally suffer from two main sources of degradations. The first includes errors introduced in imaging, such as blurring due to optical aberrations and sensor noise. The second includes errors introduced during the processing. One particular example is the quantization noise arising from lossy compression. While image restoration is concerned with the recovery of the object from these degradations, often we only deal with one type of the error at a time. In this paper, we present a restoration algorithm that handles images with optical aberrations and quantization in a transform domain. We show that it can be cast in a joint optimization setting, and demonstrate how it can be solved efficiently through alternating minimization. We also prove analytically that the algorithm is globally convergent to a unique solution when the restoration uses either H1-norm or TV-norm regularization. Simulation result asserts that this joint minimization produces images with smaller relative errors compared to a standard regularization model.
Persistent Identifierhttp://hdl.handle.net/10722/99059
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorLam, EYen_HK
dc.contributor.authorNg, MKen_HK
dc.date.accessioned2010-09-25T18:14:10Z-
dc.date.available2010-09-25T18:14:10Z-
dc.date.issued2004en_HK
dc.identifier.citationProceedings Of Spie - The International Society For Optical Engineering, 2004, v. 5299, p. 93-100en_HK
dc.identifier.issn0277-786Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/99059-
dc.description.abstractDigital images generally suffer from two main sources of degradations. The first includes errors introduced in imaging, such as blurring due to optical aberrations and sensor noise. The second includes errors introduced during the processing. One particular example is the quantization noise arising from lossy compression. While image restoration is concerned with the recovery of the object from these degradations, often we only deal with one type of the error at a time. In this paper, we present a restoration algorithm that handles images with optical aberrations and quantization in a transform domain. We show that it can be cast in a joint optimization setting, and demonstrate how it can be solved efficiently through alternating minimization. We also prove analytically that the algorithm is globally convergent to a unique solution when the restoration uses either H1-norm or TV-norm regularization. Simulation result asserts that this joint minimization produces images with smaller relative errors compared to a standard regularization model.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.subjectAlternating minimizationen_HK
dc.subjectDiscrete cosine transformen_HK
dc.subjectImage restorationen_HK
dc.subjectJoint optimizationen_HK
dc.subjectOptical aberrationsen_HK
dc.subjectQuantizationen_HK
dc.titleRestoration of images with optical aberrations and quantization in a transform domainen_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.doi10.1117/12.525283en_HK
dc.identifier.scopuseid_2-s2.0-8844278344en_HK
dc.identifier.hkuros88834en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-8844278344&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume5299en_HK
dc.identifier.spage93en_HK
dc.identifier.epage100en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridLam, EY=7102890004en_HK
dc.identifier.scopusauthoridNg, MK=7202076432en_HK

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