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Proceedings Paper

Construction of optimal wavelet basis for medical images
Author(s): Rahman Tashakkori; John M. Tyler; Oleg S. Pianykh
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Paper Abstract

A major problem associated with a `film-less hospital' is the amount of digital image data that is generated and stored. Image compression must be used to reduce the storage size. Most current image compression methods were developed for the compression of single images. A new compression that uses similar image set redundancy and minimal numbers of orthogonal features can be used to efficiently compress medical images. As presented in this paper, wavelet analysis, principal component analysis, and statistical recrimination can be successfully used to optimally denote image differences and achieve efficient similar set image compression for medical images.

Paper Details

Date Published: 22 March 1999
PDF: 9 pages
Proc. SPIE 3723, Wavelet Applications VI, (22 March 1999); doi: 10.1117/12.342925
Show Author Affiliations
Rahman Tashakkori, Southern Univ. and A&M College (United States)
John M. Tyler, Louisiana State Univ. and A&M College (United States)
Oleg S. Pianykh, Louisiana State Univ. Medical Ctr. (United States)


Published in SPIE Proceedings Vol. 3723:
Wavelet Applications VI
Harold H. Szu, Editor(s)

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