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Proceedings Paper

Fractal image coding with high error tolerance
Author(s): Yoshiyuki Ito; Tadahiko Kimoto; Toshiaki Fujii; Masayuki Tanimoto
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Paper Abstract

Image compression is needed to communicate image effectively. Especially, mobile communication needs high compression. It also needs high error tolerance because highly compressed data re strongly influenced by transmission errors. We found that the relation between the range block and domain block can also be applied well to the extended range blocks and domain blocks in most cases in fractal coding based on Iterated Function System. We use this feature of fractal coding and propose a new robust coding scheme, which has good error tolerance. We perform the fractal compression experiments based on the prosed scheme to verify the effectiveness of this scheme. Computationally experiments show that it has nearly the same performance as conventional scheme when errors do not occur and achieve large improvement of image quality without increasing the amount of the data when errors occur.

Paper Details

Date Published: 15 May 2001
PDF: 10 pages
Proc. SPIE 4306, Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications II, (15 May 2001); doi: 10.1117/12.426975
Show Author Affiliations
Yoshiyuki Ito, Nagoya Univ. (Japan)
Tadahiko Kimoto, Nagoya Univ. (Japan)
Toshiaki Fujii, Nagoya Univ. (Japan)
Masayuki Tanimoto, Nagoya Univ. (Japan)


Published in SPIE Proceedings Vol. 4306:
Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications II
Nitin Sampat; Morley M. Blouke; John Canosa; John Canosa; Nitin Sampat, Editor(s)

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