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Proceedings Paper

New binary image compression scheme for various kinds of images
Author(s): Shigeru Yoshida; Yoshiyuki Okada; Yasuhiko Nakano; Hirotaka Chiba; Masahiro Mori
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Paper Abstract

This paper presents an efficient lossless data compression scheme for various kinds of binary images as line drawings and half-tone pictures. We studied a combination of preprocessing and Lempel-Ziv universal coding. To improve the compression ratio, we modified Lempel-Ziv universal coding by dividing its dictionary into classified sub-dictionaries. We obtained improved compression ratios in computer simulation on composite images consisting of mixed test and images.

Paper Details

Date Published: 19 May 1992
PDF: 5 pages
Proc. SPIE 1657, Image Processing Algorithms and Techniques III, (19 May 1992); doi: 10.1117/12.58322
Show Author Affiliations
Shigeru Yoshida, Fujitsu Labs. Ltd. (Japan)
Yoshiyuki Okada, Fujitsu Labs. Ltd. (Japan)
Yasuhiko Nakano, Fujitsu Labs. Ltd. (Japan)
Hirotaka Chiba, Fujitsu Labs. Ltd. (Japan)
Masahiro Mori, Fujitsu Labs. Ltd. (Japan)

Published in SPIE Proceedings Vol. 1657:
Image Processing Algorithms and Techniques III
James R. Sullivan; Benjamin M. Dawson; Majid Rabbani, Editor(s)

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