Information embedding codes matched to locally stationary Gaussian image models

M. Kivanç Mihçak, Pierre Moulin

Research output: Contribution to conferencePaperpeer-review


We have designed a practical information embedding code for images. The method assumes a locally i.i.d. (independent identically distributed) Gaussian source model for wavelet image coefficients. The proposed algorithm is developed based on this model and recent information theoretic results on information hiding for parallel Gaussian channels. Promising results have been obtained on test images.

Original languageEnglish (US)
StatePublished - 2002
EventInternational Conference on Image Processing (ICIP'02) - Rochester, NY, United States
Duration: Sep 22 2002Sep 25 2002


OtherInternational Conference on Image Processing (ICIP'02)
Country/TerritoryUnited States
CityRochester, NY

ASJC Scopus subject areas

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


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