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Proceedings Paper

Knowledge-based approach to JPEG acceleration
Author(s): Konrad Froitzheim; Heiner Wolf
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Paper Abstract

JPEG picture compression and related algorithms are not only used in still picture compression, but also to a growing degree for moving picture compression in telecommunication applications. Real-time JPEG compression and decompression are crucial in these scenarios. We present a method to significantly improve the performance of software based JPEG decompression. Key to these performance gains are adequate knowledge of the structure of the JPEG coded picture information and transfer of structural information between consecutive processing steps. Our implementation achieved an 80% performance increase decompressing typical JPEG video streams.

Paper Details

Date Published: 17 April 1995
PDF: 11 pages
Proc. SPIE 2419, Digital Video Compression: Algorithms and Technologies 1995, (17 April 1995); doi: 10.1117/12.206371
Show Author Affiliations
Konrad Froitzheim, Univ. Ulm (Germany)
Heiner Wolf, Univ. Ulm (Germany)


Published in SPIE Proceedings Vol. 2419:
Digital Video Compression: Algorithms and Technologies 1995
Arturo A. Rodriguez; Robert J. Safranek; Edward J. Delp, Editor(s)

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