Image compression using multiscale geometric edge models

dc.contributor.advisorBaraniuk, Richard G.
dc.creatorWakin, Michael Bruce
dc.date.accessioned2009-06-04T06:34:50Z
dc.date.available2009-06-04T06:34:50Z
dc.date.issued2002
dc.description.abstractEdges are of particular interest for image compression, as they communicate important information, contribute large amounts of high-frequency energy, and can generally be described with few parameters. Many of today's most competitive coders rely on wavelets to transform and compress the image, but modeling the joint behavior of wavelet coefficients along an edge presents a distinct challenge. In this thesis, we examine techniques for exploiting the simple geometric structure which captures edge information. Using a multiscale wedgelet decomposition, we present methods for extracting and compressing a cartoon sketch containing the significant edge information, and we discuss practical issues associated with coding the residual textures. Extending these techniques, we propose a rate-distortion optimal framework (based on the Space-Frequency Quantization algorithm) using wedgelets to capture geometric information and wavelets to describe the rest. At low bitrates, this method yields compressed images with sharper edges and lower mean-square error.
dc.format.extent53 p.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.callnoTHESIS E.E. 2002 WAKIN
dc.identifier.citationWakin, Michael Bruce. "Image compression using multiscale geometric edge models." (2002) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/17556">https://hdl.handle.net/1911/17556</a>.
dc.identifier.urihttps://hdl.handle.net/1911/17556
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.titleImage compression using multiscale geometric edge models
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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