Quaternion Wavelets for Image Analysis and Processing

dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameIEEE International Conference on Image Processingen_US
dc.citation.firstpage3057
dc.citation.lastpage3060
dc.citation.locationSingaporeen_US
dc.citation.volumeNumber5en_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.accessioned2007-10-31T00:39:00Z
dc.date.available2007-10-31T00:39:00Z
dc.date.issued2004-10-01en
dc.date.modified2006-06-06en_US
dc.date.note2006-06-06en_US
dc.date.submitted2004-10-01en_US
dc.descriptionConference Paperen_US
dc.description.abstractUsing the concepts of two-dimensional Hubert transform and analytic signal, we construct a new quaternion wavelet transform (QWT). The QWT forms a tight frame and can be efficiently computed using a-2-D dual-tree filter bank. The QWT and the 2-D complex wavelet transform (CWT) are related by a unitary transformation, but the former inherits the quaternion Fourier-transform (QFT) phase properties, which are desirable for image analysis. The quaternion magnitude-phase representation of the QWT directly leads to near shift-invariance and the ability to encode phase shifts in an absolute x-y-coordinate system, which we can use for applications such as edge estimation and statistical image modeling.en_US
dc.identifier.citationW. L. Chan, H. Choi and R. G. Baraniuk, "Quaternion Wavelets for Image Analysis and Processing," vol. 5, 2004.
dc.identifier.doihttp://dx.doi.org/10.1109/ICIP.2004.1421758en_US
dc.identifier.urihttps://hdl.handle.net/1911/19774
dc.language.isoeng
dc.subject.otherDSP for Communicationsen_US
dc.titleQuaternion Wavelets for Image Analysis and Processingen_US
dc.typeConference paper
dc.type.dcmiText
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