Multi-layered image compression

F. G. Meyer, A. Z. Averbuch, J. O. Strömberg, R. R. Coifman

Research output: Contribution to journalConference articlepeer-review


The main contribution of this work is a new paradigm for image compression. We describe a new multi-layered representation technique for images. An image is encoded as the superposition of one main approximation, and a sequence of residuals. The strength of the multi-layered method comes from the fact that we use different bases to encode the main approximation and the residuals. For instance, we can use: - a wavelet basis to encode a coarse main approximation of the image, - wavelet packet bases to encode textured patterns, - brushlet bases to encode localized oriented textured features, etc.

Original languageEnglish
Pages (from-to)128-139
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 1998
Externally publishedYes
EventWavelet Applications in Signal and Image Processing VI - San Diego, CA, United States
Duration: 22 Jul 199823 Jul 1998


  • Best-basis
  • Image compression
  • Image representation
  • Libraries of bases
  • Wavelets


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