Compression of echocardiographic scan line data using wavelet packet transform

X. Hang*, N. L. Greenberg, J. Qin, J. D. Thomas

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

An efficient compression strategy is indispensable for digital echocardiography. Previous work has suggested improved results utilizing wavelet transforms in the compression of 2D echocardiographic images Set partitioning in hierarchical trees (SPIHT) was modified to compress echocardiographic scanline data based on the wavelet packet transform. A compression ratio of at least 94:1 resulted in preserved image quality.

Original languageEnglish (US)
Pages (from-to)425-427
Number of pages3
JournalComputers in Cardiology
StatePublished - Dec 1 2001
EventComputer in Cardiology 2001 - Rotterdam, Netherlands
Duration: Sep 23 2001Sep 26 2001

ASJC Scopus subject areas

  • Computer Science Applications
  • Cardiology and Cardiovascular Medicine

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