Coherent Image Processing using Quaternion Wavelets

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dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameProc. SPIEen_US
dc.citation.locationSan Diego, CAen_US
dc.contributor.authorChan, Wai Lamen_US
dc.contributor.authorChoi, Hyeokhoen_US
dc.contributor.authorBaraniuk, Richard G.en_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:39:05Z
dc.date.available2007-10-31T00:39:05Z
dc.date.issued2005-08-01en
dc.date.modified2006-07-19en_US
dc.date.note2005-07-24en_US
dc.date.submitted2005-08-01en_US
dc.descriptionConference paperen_US
dc.description.abstractWe develop a quaternion wavelet transform (QWT) as a new multiscale analysis tool for geometric image features. The QWT is a near shift-invariant, tight frame representation whose coefficients sport a magnitude and three phase values, two of which are directly proportional to local image shifts. The QWT can be efficiently computed using a dual-tree filter bank and is based on a 2-D Hilbert transform. We demonstrate how the QWT's magnitude and phase can be used to accurately analyze local geometric structure in images. We also develop a multiscale flow/motion estimation algorithm that computes a disparity flow map between two images with respect to local object motion.en_US
dc.identifier.citationW. L. Chan, H. Choi and R. G. Baraniuk, "Coherent Image Processing using Quaternion Wavelets," 2005.
dc.identifier.urihttps://hdl.handle.net/1911/19776
dc.language.isoeng
dc.subjectWavelets*
dc.subjectquaternions*
dc.subjectedges*
dc.subjectimage registration*
dc.subjectdisparity*
dc.subject.keywordWaveletsen_US
dc.subject.keywordquaternionsen_US
dc.subject.keywordedgesen_US
dc.subject.keywordimage registrationen_US
dc.subject.keyworddisparityen_US
dc.subject.otherImage Processing and Pattern analysisen_US
dc.titleCoherent Image Processing using Quaternion Waveletsen_US
dc.typeConference paper
dc.type.dcmiText
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