Analysis of interscale and intrascale dependencies between image wavelet coefficients

J. Liu, P. Moulin

Research output: Contribution to conferencePaperpeer-review


We develop an information-theoretic analysis of dependencies between image wavelet coefficients. The dependencies are measured using mutual information, which has a direct link with data compression and estimation performance. Mutual information can be computed analytically for the special case where the image is a stationary autoregressive (AR)-1 Gaussian process. We have also developed methods to compute mutual information experimentally from wavelet domain image data. Our mutual-information analysis provides a mechanism for model evaluation and comparison.

Original languageEnglish (US)
Number of pages4
StatePublished - 2000
EventInternational Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada
Duration: Sep 10 2000Sep 13 2000


OtherInternational Conference on Image Processing (ICIP 2000)
CityVancouver, BC

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering


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