Wavelet compression of medical images with set partitioning in hierarchical trees

Armando Manduca, Amir Said

Research output: Contribution to journalConference article

19 Scopus citations

Abstract

Wavelet-based image compression is proving to be a very effective technique for medical images, giving significantly better results than the JPEG algorithm. A novel scheme for encoding wavelet coefficients, termed set partitioning in hierarchical trees, has recently been proposed and yields significantly better compression than more standard methods. We report the results of experiments comparing such coding to more conventional wavelet compression and to JPEG compression on several types of medical images.

Original languageEnglish (US)
Pages (from-to)192-200
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume2707
DOIs
StatePublished - Dec 1 1996
EventMedical Imaging 1996: Image Display - Newport Beach, CA, United States
Duration: Feb 11 1996Feb 11 1996

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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