Ultrasound grayscale image compression with JPEG and wavelet techniques

Kenneth R. Persons, Patrice M. Palisson, Armando Manduca, William J. Charboneau, E. Meredith James, Nicholas T. Charboneau, Nicholas J. Hangiandreou, Bradley J. Erickson

Research output: Contribution to journalArticle

12 Scopus citations

Abstract

The purpose of the study was to evaluate the effects of lossy compression on grayscale ultrasound images to determine how much compression can be applied while still maintaining images that are acceptable for diagnostic purposes. The study considered how the acquisition technique (video frame-grabber versus directly acquired in digital form) influences how much compression can be applied. For directly acquired digital images, the study considered how text (that is burned into the image) affects the compressibility of the image. The lossy compression techniques that were considered include JPEG and a Wavelet algorithm using set partitioning in hierarchical trees (SPIHT).

Original languageEnglish (US)
Pages (from-to)25-32
Number of pages8
JournalJournal of Digital Imaging
Volume13
Issue number1
DOIs
StatePublished - Jan 1 2000

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

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    Persons, K. R., Palisson, P. M., Manduca, A., Charboneau, W. J., Meredith James, E., Charboneau, N. T., Hangiandreou, N. J., & Erickson, B. J. (2000). Ultrasound grayscale image compression with JPEG and wavelet techniques. Journal of Digital Imaging, 13(1), 25-32. https://doi.org/10.1007/BF03168337