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Proceedings Paper

Novel approach to expanding dependency regions for fast fractal image decoding
Author(s): Kyung W. Kang; Gwang S. Jung; Kwang S. Moon
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Paper Abstract

To accelerate decoding fractal-coded images, researchers have actively investigated methods for deriving dependency regions. This paper describes a novel approach to expanding dependency regions for fast fractal image decoding. Our approach carefully identifies and encodes data dependency at encoding time in such a way that the decoder guarantees to get the dependency regions and further expands the dependency regions effectively. The experimental results show our approach improves the efficiency of the fractal decoding process significantly.

Paper Details

Date Published: 22 March 2001
PDF: 10 pages
Proc. SPIE 4209, Multimedia Systems and Applications III, (22 March 2001); doi: 10.1117/12.420834
Show Author Affiliations
Kyung W. Kang, Pukyong National Univ. (South Korea)
Gwang S. Jung, CUNY/Lehman College (United States)
Kwang S. Moon, Pukyong National Univ. (South Korea)

Published in SPIE Proceedings Vol. 4209:
Multimedia Systems and Applications III
Andrew G. Tescher; Bhaskaran Vasudev; V. Michael Bove, Editor(s)

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