Image compression using an efficient edge cartoon + texture model

M. Wakin, J. Romberg, Hyeokho Choi, R. Baraniuk

Research output: Chapter in Book/Report/Conference proceedingConference contribution

30 Scopus citations


Wavelet-based image coders optimally represent smooth regions and isolated point singularities. However, wavelet coders are less adept at representing perceptually important edge singularities, and coding performance suffers significantly as a result. We propose a novel two-stage image coder framework based on modeling images as edge cartoons + textures. In stage 1, we infer and efficiently code the edge information from the image using a multiscale wedgelet decomposition. In stage 2, we code the residual, "edgeless" texture image using a standard wavelet coder. Our preliminary coder improves significantly over standard wavelet coding techniques in terms of visual quality.

Original languageEnglish (US)
Title of host publicationProceedings - DCC 2002
Subtitle of host publicationData Compression Conference
EditorsJames A. Storer, Martin Cohn
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages10
ISBN (Electronic)0769514774
StatePublished - 2002
EventData Compression Conference, DCC 2002 - Snowbird, United States
Duration: Apr 2 2002Apr 4 2002

Publication series

NameData Compression Conference Proceedings
ISSN (Print)1068-0314


OtherData Compression Conference, DCC 2002
Country/TerritoryUnited States


  • Chromium
  • Computed tomography
  • Data compression
  • Image coding

ASJC Scopus subject areas

  • Computer Networks and Communications


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