Coherent multiscale image processing using quaternion wavelets

dc.contributor.advisorBaraniuk, Richard G.
dc.creatorChan, Wai Lam
dc.date.accessioned2009-06-04T06:30:31Z
dc.date.available2009-06-04T06:30:31Z
dc.date.issued2006
dc.description.abstractThis thesis develops 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 phases: two phases encode local image shifts while the third contains textural information. The QWT can be computed using a dual-tree filter bank with linear computational complexity. We develop the QWT by applying an alternative theory of 2-D Hilbert transforms and analytic signals to the 1-D complex wavelet transform. To demonstrate the properties of the QWT's coherent magnitude/phase representation, we develop a efficient and accurate algorithm for estimating the local geometrical structure of images and a multiscale algorithm for estimating the disparity between a pair of images. The latter algorithm has potentials for various applications in image registration and flow estimation. It uses an interesting multiscale phase unwrapping procedure and features linear complexity and sub-pixel accuracy.
dc.format.extent52 p.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.callnoTHESIS E.E. 2006 CHAN
dc.identifier.citationChan, Wai Lam. "Coherent multiscale image processing using quaternion wavelets." (2006) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/17869">https://hdl.handle.net/1911/17869</a>.
dc.identifier.urihttps://hdl.handle.net/1911/17869
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectElectronics
dc.subjectElectrical engineering
dc.titleCoherent multiscale image processing using quaternion wavelets
dc.typeThesis
dc.type.materialText
thesis.degree.departmentElectrical Engineering
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
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