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Proceedings Paper

Full-frame image compression for nonsquare images
Author(s): Doris T. Chin; Bruce Kuo Ting Ho; Marco Ma; H. K. Huang
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Paper Abstract

Full frame cosine transform method for image compression offers enormous advantages over corresponding block techniques in radiological applications. However, previously developed full frame compression algorithm is restricted to square images with dimensions equal to a power of two (512, 1024, etc.). The work presented here extends the same algorithm for applications involving arbitrary dimensions resulting in significant reduction in the compressed data size.

Paper Details

Date Published: 1 June 1992
PDF: 9 pages
Proc. SPIE 1652, Medical Imaging VI: Image Processing, (1 June 1992); doi: 10.1117/12.59419
Show Author Affiliations
Doris T. Chin, Univ. of California/Los Angeles (United States)
Bruce Kuo Ting Ho, Univ. of California/Los Angeles (United States)
Marco Ma, Univ. of California/Los Angeles (United States)
H. K. Huang, Univ. of California/Los Angeles (United States)

Published in SPIE Proceedings Vol. 1652:
Medical Imaging VI: Image Processing
Murray H. Loew, Editor(s)

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