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Article: Super-resolution reconstruction in a computational compound-eye imaging system

TitleSuper-resolution reconstruction in a computational compound-eye imaging system
Authors
KeywordsCompound-eye
Phase-mask
Super-resolution
Issue Date2007
PublisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0923-6082
Citation
Multidimensional Systems And Signal Processing, 2007, v. 18 n. 2-3, p. 83-101 How to Cite?
AbstractFrom consumer electronics to biomedical applications, device miniaturization has shown to be highly desirable. This often includes reducing the size of some optical systems. However, diffraction effects impose a constraint on image quality when we simply scale down the imaging parameters. Over the past few years, compound-eye imaging system has emerged as a promising architecture in the development of compact visual systems. Because multiple low-resolution (LR) sub-images are captured, post-processing algorithms for the reconstruction of a high-resolution (HR) final image from the LR images play a critical role in affecting the image quality. In this paper, we describe and investigate the performance of a compound-eye system recently reported in the literature. We discuss both the physical construction and the mathematical model of the imaging components, followed by an application of our super-resolution algorithm in reconstructing the image. We then explore several variations of the imaging system, such as the incorporation of a phase mask in extending the depth of field, which are not possible with a traditional camera. Simulations with a versatile virtual camera system that we have built verify the feasibility of these additions, and we also report the tolerance of the compound-eye system to variations in physical parameters, such as optical aberrations, that are inevitable in actual systems. © Springer Science+Business Media, LLC 2007.
Persistent Identifierhttp://hdl.handle.net/10722/73611
ISSN
2015 Impact Factor: 1.436
2015 SCImago Journal Rankings: 0.768
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChan, WSen_HK
dc.contributor.authorLam, EYen_HK
dc.contributor.authorNg, MKen_HK
dc.contributor.authorMak, GYen_HK
dc.date.accessioned2010-09-06T06:53:03Z-
dc.date.available2010-09-06T06:53:03Z-
dc.date.issued2007en_HK
dc.identifier.citationMultidimensional Systems And Signal Processing, 2007, v. 18 n. 2-3, p. 83-101en_HK
dc.identifier.issn0923-6082en_HK
dc.identifier.urihttp://hdl.handle.net/10722/73611-
dc.description.abstractFrom consumer electronics to biomedical applications, device miniaturization has shown to be highly desirable. This often includes reducing the size of some optical systems. However, diffraction effects impose a constraint on image quality when we simply scale down the imaging parameters. Over the past few years, compound-eye imaging system has emerged as a promising architecture in the development of compact visual systems. Because multiple low-resolution (LR) sub-images are captured, post-processing algorithms for the reconstruction of a high-resolution (HR) final image from the LR images play a critical role in affecting the image quality. In this paper, we describe and investigate the performance of a compound-eye system recently reported in the literature. We discuss both the physical construction and the mathematical model of the imaging components, followed by an application of our super-resolution algorithm in reconstructing the image. We then explore several variations of the imaging system, such as the incorporation of a phase mask in extending the depth of field, which are not possible with a traditional camera. Simulations with a versatile virtual camera system that we have built verify the feasibility of these additions, and we also report the tolerance of the compound-eye system to variations in physical parameters, such as optical aberrations, that are inevitable in actual systems. © Springer Science+Business Media, LLC 2007.en_HK
dc.languageengen_HK
dc.publisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0923-6082en_HK
dc.relation.ispartofMultidimensional Systems and Signal Processingen_HK
dc.subjectCompound-eyeen_HK
dc.subjectPhase-masken_HK
dc.subjectSuper-resolutionen_HK
dc.titleSuper-resolution reconstruction in a computational compound-eye imaging systemen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0923-6082&volume=18&spage=83&epage=101&date=2007&atitle=Super-resolution+reconstruction+in+a+computational+compound-eye+imaging+systemen_HK
dc.identifier.emailLam, EY:elam@eee.hku.hken_HK
dc.identifier.authorityLam, EY=rp00131en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s11045-007-0022-3en_HK
dc.identifier.scopuseid_2-s2.0-34248531373en_HK
dc.identifier.hkuros128178en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-34248531373&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume18en_HK
dc.identifier.issue2-3en_HK
dc.identifier.spage83en_HK
dc.identifier.epage101en_HK
dc.identifier.isiWOS:000246565700004-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridChan, WS=17233487800en_HK
dc.identifier.scopusauthoridLam, EY=7102890004en_HK
dc.identifier.scopusauthoridNg, MK=34571761900en_HK
dc.identifier.scopusauthoridMak, GY=8678365200en_HK
dc.identifier.citeulike1431440-

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