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Conference Paper: Video image super-resolution restoration based on iterative back-projection algorithm

TitleVideo image super-resolution restoration based on iterative back-projection algorithm
Authors
KeywordsEvaluation Of Image Quality
Image Restoration
Iterative Back Projection
Super Resolution
Issue Date2009
Citation
2009 Ieee International Conference On Computational Intelligence For Measurement Systems And Applications, Cimsa 2009, 2009, p. 46-49 How to Cite?
AbstractImage fusion was one of the most important technology of pattern recognition. This paper proposed a fast superresolution image reconstruction algorithm basing on image sequences. Iterative back-projection (IBP) technique was used to construct high resolution from image sequences. roughly registered basing on feature and then use Registration algorithm basing on Gray to optimize the result. Iterative back-projection technique was used to construct high resolution from image sequences. Experimental results show that this algorithm solve the problem that the translation and rotation is small in traditional method. The details, definition and resolution of high resolution image processed with the proposed method are effectively improved. © 2009 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/173418
References

 

DC FieldValueLanguage
dc.contributor.authorWan, Ben_US
dc.contributor.authorMeng, Len_US
dc.contributor.authorMing, Den_US
dc.contributor.authorQi, Hen_US
dc.contributor.authorHu, Yen_US
dc.contributor.authorLuk, KDKen_US
dc.date.accessioned2012-10-30T06:30:58Z-
dc.date.available2012-10-30T06:30:58Z-
dc.date.issued2009en_US
dc.identifier.citation2009 Ieee International Conference On Computational Intelligence For Measurement Systems And Applications, Cimsa 2009, 2009, p. 46-49en_US
dc.identifier.urihttp://hdl.handle.net/10722/173418-
dc.description.abstractImage fusion was one of the most important technology of pattern recognition. This paper proposed a fast superresolution image reconstruction algorithm basing on image sequences. Iterative back-projection (IBP) technique was used to construct high resolution from image sequences. roughly registered basing on feature and then use Registration algorithm basing on Gray to optimize the result. Iterative back-projection technique was used to construct high resolution from image sequences. Experimental results show that this algorithm solve the problem that the translation and rotation is small in traditional method. The details, definition and resolution of high resolution image processed with the proposed method are effectively improved. © 2009 IEEE.en_US
dc.languageengen_US
dc.relation.ispartof2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, CIMSA 2009en_US
dc.subjectEvaluation Of Image Qualityen_US
dc.subjectImage Restorationen_US
dc.subjectIterative Back Projectionen_US
dc.subjectSuper Resolutionen_US
dc.titleVideo image super-resolution restoration based on iterative back-projection algorithmen_US
dc.typeConference_Paperen_US
dc.identifier.emailHu, Y:yhud@hku.hken_US
dc.identifier.emailLuk, KDK:hcm21000@hku.hken_US
dc.identifier.authorityHu, Y=rp00432en_US
dc.identifier.authorityLuk, KDK=rp00333en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/CIMSA.2009.5069916en_US
dc.identifier.scopuseid_2-s2.0-77950793934en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77950793934&selection=ref&src=s&origin=recordpageen_US
dc.identifier.spage46en_US
dc.identifier.epage49en_US
dc.identifier.scopusauthoridWan, B=7102316798en_US
dc.identifier.scopusauthoridMeng, L=55230854500en_US
dc.identifier.scopusauthoridMing, D=9745824400en_US
dc.identifier.scopusauthoridQi, H=7202348852en_US
dc.identifier.scopusauthoridHu, Y=7407116091en_US
dc.identifier.scopusauthoridLuk, KDK=7201921573en_US

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