Multiresolution technique for 3-D image compression

Phyllis Caputol, Pierre Moulin, Stanley Dunn

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

Abstract

The compression of 3-D digital images, such as those obtained from Magnetic Resonance Imaging or Computed Tomography, makes it possible to save and transmit data sets in less space and time. Although there is a trade off between compression and resolution, it is believed that a substantial decrease in the number of voxels, volume elements, will not noticeably degrade the 3-D image. As a result, to the clinician, the efficacy of the image will not be changed, but the amount of bytes needed to represent the image will be decreased. A multiresolution image representation is used as a basis for constructing an approximation the original image, and this method is based on 3-dimensional, separable splines. A multiresolution algorithm is being developed that computes the solution to the approximation problem in O(log N), on a single-instruction, multiple-data architecture, SIMD. SIMD is a fine grain parallel architecture and N is the number of voxels in the original image.

Original languageEnglish (US)
Title of host publication1993 IEEE 19th Annual Northeasrt Bioengineering Conference
PublisherPubl by IEEE
Pages45-46
Number of pages2
ISBN (Print)0780309251
StatePublished - Jan 1 1993
Externally publishedYes
EventProceedings of the 1993 IEEE 19th Annual Northeast Bioengineering Conference - Newark, NJ, USA
Duration: Mar 18 1993Mar 19 1993

Publication series

NameBioengineering, Proceedings of the Northeast Conference

Other

OtherProceedings of the 1993 IEEE 19th Annual Northeast Bioengineering Conference
CityNewark, NJ, USA
Period3/18/933/19/93

ASJC Scopus subject areas

  • Bioengineering

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