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dc.contributor.authorWakin, Michael
Orchard, Michael
Baraniuk, Richard G.
Chandrasekaran, Venkat
dc.creatorWakin, Michael
Orchard, Michael
Baraniuk, Richard G.
Chandrasekaran, Venkat
dc.date.accessioned 2007-10-31T01:08:55Z
dc.date.available 2007-10-31T01:08:55Z
dc.date.issued 2003-11-01
dc.date.submitted 2003-11-01
dc.identifier.citation M. Wakin, M. Orchard, R. G. Baraniuk and V. Chandrasekaran, "Phase and Magnitude Perceptual Sensitivities in Nonredundant Complex Wavelet Representations," vol. 2, 2003.
dc.identifier.urihttps://hdl.handle.net/1911/20429
dc.description Conference Paper
dc.description.abstract The recent development of a nonredundant complex wavelet transform allows a novel framework for image analysis. Work on this representation has recognized that the phase and magnitude of complex coefficients can be related to important geometric properties in images. Existing work on human visual system (HVS) sensitivity offers little guidance in understanding the relative importance of noise (e.g., introduced by lossy coding) in phase components and magnitude components. The distinct geometric significance of the two components would suggest that their respective errors relate to different types of image structure, and thus each would have its own unique HVS sensitivity. In this paper, we extend the study of just-noticeable-differences (JND) to magnitude/phase sensitivities in complex wavelet representations and outline and report on preliminary experiments characterizing them.
dc.language.iso eng
dc.subjectimage processing
complex wavelets
just-noticeable differences
human visual system
image compression
dc.subject.otherWavelet based Signal/Image Processing
dc.title Phase and Magnitude Perceptual Sensitivities in Nonredundant Complex Wavelet Representations
dc.type Conference paper
dc.date.note 2003-12-20
dc.citation.bibtexName inproceedings
dc.date.modified 2006-07-19
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)
dc.subject.keywordimage processing
complex wavelets
just-noticeable differences
human visual system
image compression
dc.citation.volumeNumber 2
dc.citation.location Pacific Grove, CA
dc.citation.conferenceName Asilomar Conference on Signals, Systems, and Computers
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1109/ACSSC.2003.1292219
dc.citation.firstpage 1413
dc.citation.lastpage 1417


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  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1305]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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