Analysis of interscale and intrascale dependencies between image wavelet coefficients

Research output: Contribution to conferencePaper

Abstract

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)
Pages669-672
Number of pages4
StatePublished - Dec 1 2000
EventInternational Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada
Duration: Sep 10 2000Sep 13 2000

Other

OtherInternational Conference on Image Processing (ICIP 2000)
CountryCanada
CityVancouver, BC
Period9/10/009/13/00

ASJC Scopus subject areas

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

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  • Cite this

    Liu, J., & Moulin, P. (2000). Analysis of interscale and intrascale dependencies between image wavelet coefficients. 669-672. Paper presented at International Conference on Image Processing (ICIP 2000), Vancouver, BC, Canada.