Image data compression using wavelet decomposition

dc.contributor.advisorBurrus, C. Sidney
dc.creatorWei, Dong
dc.date.accessioned2009-06-04T00:13:49Z
dc.date.available2009-06-04T00:13:49Z
dc.date.issued1995
dc.description.abstractWavelet-based multi-resolution representation has become a cutting-edge technology in the area of image data compression. Though the discrete wavelet transform is closely related to the perfect-reconstruction octave-band filter banks used in subband coding schemes, wavelets have provided very promising new ideas and insights for image data compression. Wavelet-based coding techniques have achieved competitive performance compared with other well-known image coding techniques. This thesis develops a general framework for wavelet-based lossy image coding. We discuss two application problems and develop the corresponding fast algorithms using wavelet-based techniques (e.g., optimum wavelet-packet bases selection, wavelet-domain soft-thresholding).
dc.format.extent55 p.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.callnoTHESIS E.E. 1995 WEI
dc.identifier.citationWei, Dong. "Image data compression using wavelet decomposition." (1995) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/14006">https://hdl.handle.net/1911/14006</a>.
dc.identifier.urihttps://hdl.handle.net/1911/14006
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 data compression using wavelet decomposition
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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