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Proceedings Paper

Hilbert scanning arithmetic coding for multispectral image compression
Author(s): Arnulfo Perez; Sei-ichiro Kamata; Eiji Kawaguchi
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Paper Abstract

We consider the compression of multispectral images using Hilbert scanning and adaptive arithmetic coding. The Hilbert scan is a general technique for continuous scanning of multidimensional data. Arithmetic coding has established itself as the superior method for lossless compression. The aim of this paper is to investigate the integration of the arithmetic coding methodology and a n-dimensional Hilbert scanning algorithm developed by Perez, Kamata and Kawaguchi.

Paper Details

Date Published: 1 December 1991
PDF: 8 pages
Proc. SPIE 1567, Applications of Digital Image Processing XIV, (1 December 1991); doi: 10.1117/12.50830
Show Author Affiliations
Arnulfo Perez, Instituto Tecnologico y de Estudios Superiores de Monterrey (Mexico)
Sei-ichiro Kamata, Kyushu Institute of Technology (Japan)
Eiji Kawaguchi, Kyushu Institute of Technology (Japan)


Published in SPIE Proceedings Vol. 1567:
Applications of Digital Image Processing XIV
Andrew G. Tescher, Editor(s)

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