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Proceedings Paper

Mapping of image compression transforms to reconfigurable processors: simulation and analysis
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Paper Abstract

This paper summarizes techniques for mapping blockwise compression transforms such as EBLAST, JPEG, Visual Pattern Image Coding, and vector quantization to reconfigurable architectures such as field-programmable gate arrays. The distinguishing feature of this study is that computational precision is varied among different operations within a given transform. For example, we found that a four-bit block sum is sufficient to compute EBLAST accurately using encoding blocks as large as 10 X 10 pixels. In contrast, image-template convolutions constituent to EBLAST compression and decompression require seven- to eight-bit fixed-point operations.

Paper Details

Date Published: 16 December 1999
PDF: 17 pages
Proc. SPIE 3814, Mathematics of Data/Image Coding, Compression, and Encryption II, (16 December 1999); doi: 10.1117/12.372745
Show Author Affiliations
Frank M. Caimi, Harbor Branch Oceanographic Institution (United States)
Mark S. Schmalz, Univ. of Florida (United States)
Gerhard X. Ritter, Univ. of Florida (United States)

Published in SPIE Proceedings Vol. 3814:
Mathematics of Data/Image Coding, Compression, and Encryption II
Mark S. Schmalz, Editor(s)

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