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dc.contributor.authorWakin, Michael
dc.creatorWakin, Michael 2007-10-31T01:08:33Z 2007-10-31T01:08:33Z 2001-04-20 2002-03-06
dc.description Report
dc.description.abstract Accurate prediction of wavelet coefficients relies on an understanding of the phase effects of edge alignment. This research examines techniques for uncovering edge information based on the available coefficients. These techniques are evaluated in the context of reconstructing an image from quantized wavelet coefficients. A predictor is described which can be trained on the coefficients to capture relationships among the pixels. Another method is presented where the quantized coefficients are interpolated to recreate an underlying continuous function. Based on this research, the interpolation process offers more promise in solving the dequantization problem.
dc.language.iso eng
image coding
edge detection
dc.subject.otherWavelet based Signal/Image Processing
dc.title Edge Characteristics in Wavelet-Based Image Coding
dc.type Report
dc.citation.bibtexName misc
dc.citation.journalTitle ELEC 599 Project Report 2002-03-06
dc.contributor.orgDigital Signal Processing (
image coding
edge detection
dc.type.dcmi Text
dc.identifier.citation M. Wakin, "Edge Characteristics in Wavelet-Based Image Coding," ELEC 599 Project Report, 2001.

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  • ECE Publications [1063]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.

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