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Article: Automatic source camera identification using the intrinsic lens radial distortion

TitleAutomatic source camera identification using the intrinsic lens radial distortion
Authors
Issue Date2006
PublisherOptical Society of America. The Journal's web site is located at http://www.opticsexpress.org
Citation
Optics Express, 2006, v. 14 n. 24, p. 11551-11565 How to Cite?
AbstractSource camera identification refers to the task of matching digital images with the cameras that are responsible for producing these images. This is an important task in image forensics, which in turn is a critical procedure in law enforcement. Unfortunately, few digital cameras are equipped with the capability of producing watermarks for this purpose. In this paper, we demonstrate that it is possible to achieve a high rate of accuracy in the identification by noting the intrinsic lens radial distortion of each camera. To reduce manufacturing cost, the majority of digital cameras are equipped with lenses having rather spherical surfaces, whose inherent radial distortions serve as unique fingerprints in the images. We extract, for each image, parameters from aberration measurements, which are then used to train and test a support vector machine classifier. We conduct extensive experiments to evaluate the success rate of a source camera identification with five cameras. The results show that this is a viable approach with high accuracy. Additionally, we also present results on how the error rates may change with images captured using various optical zoom levels, as zooming is commonly available in digital cameras. © 2006 Optical Society of America.
Persistent Identifierhttp://hdl.handle.net/10722/73511
ISSN
2015 Impact Factor: 3.148
2015 SCImago Journal Rankings: 2.186
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChoi, KSen_HK
dc.contributor.authorLam, EYen_HK
dc.contributor.authorWong, KKYen_HK
dc.date.accessioned2010-09-06T06:52:02Z-
dc.date.available2010-09-06T06:52:02Z-
dc.date.issued2006en_HK
dc.identifier.citationOptics Express, 2006, v. 14 n. 24, p. 11551-11565en_HK
dc.identifier.issn1094-4087en_HK
dc.identifier.urihttp://hdl.handle.net/10722/73511-
dc.description.abstractSource camera identification refers to the task of matching digital images with the cameras that are responsible for producing these images. This is an important task in image forensics, which in turn is a critical procedure in law enforcement. Unfortunately, few digital cameras are equipped with the capability of producing watermarks for this purpose. In this paper, we demonstrate that it is possible to achieve a high rate of accuracy in the identification by noting the intrinsic lens radial distortion of each camera. To reduce manufacturing cost, the majority of digital cameras are equipped with lenses having rather spherical surfaces, whose inherent radial distortions serve as unique fingerprints in the images. We extract, for each image, parameters from aberration measurements, which are then used to train and test a support vector machine classifier. We conduct extensive experiments to evaluate the success rate of a source camera identification with five cameras. The results show that this is a viable approach with high accuracy. Additionally, we also present results on how the error rates may change with images captured using various optical zoom levels, as zooming is commonly available in digital cameras. © 2006 Optical Society of America.en_HK
dc.languageengen_HK
dc.publisherOptical Society of America. The Journal's web site is located at http://www.opticsexpress.orgen_HK
dc.relation.ispartofOptics Expressen_HK
dc.rightsOptics Express. Copyright © Optical Society of America.en_HK
dc.titleAutomatic source camera identification using the intrinsic lens radial distortionen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1094-4087&volume=14&spage=11551&epage=11565&date=2006&atitle=Automatic+source+camera+identification+using+the+intrinsic+lens+radial+distortionen_HK
dc.identifier.emailLam, EY:elam@eee.hku.hken_HK
dc.identifier.emailWong, KKY:kywong@eee.hku.hken_HK
dc.identifier.authorityLam, EY=rp00131en_HK
dc.identifier.authorityWong, KKY=rp00189en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1364/OE.14.011551en_HK
dc.identifier.scopuseid_2-s2.0-37849029111en_HK
dc.identifier.hkuros125261en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-37849029111&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume14en_HK
dc.identifier.issue24en_HK
dc.identifier.spage11551en_HK
dc.identifier.epage11565en_HK
dc.identifier.isiWOS:000242325700009-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridChoi, KS=12804359900en_HK
dc.identifier.scopusauthoridLam, EY=7102890004en_HK
dc.identifier.scopusauthoridWong, KKY=36456599700en_HK

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