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Proceedings Paper

Region of interest compression using pyramidal coding schemes
Author(s): Pankaj N. Topiwala; Richard David Forkert
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Paper Abstract

We develop a second-generation subband image coding algorithm which exploits the pyramidal structure of transform-domain representations to achieve variable-resolution compression. In particular, regions of interest within an image can be selectively retained at higher fidelity than other regions. This type of coding allows for rapid, very high compression, which is especially suitable for the timely communication of image data over bandlimited channels.

Paper Details

Date Published: 1 September 1995
PDF: 7 pages
Proc. SPIE 2569, Wavelet Applications in Signal and Image Processing III, (1 September 1995); doi: 10.1117/12.217628
Show Author Affiliations
Pankaj N. Topiwala, MITRE Corp. (United States)
Richard David Forkert, MITRE Corp. (United States)

Published in SPIE Proceedings Vol. 2569:
Wavelet Applications in Signal and Image Processing III
Andrew F. Laine; Michael A. Unser, Editor(s)

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