Hilbert scanning arithmetic coding for multispectral image compression

Arnulfo Perez; Sei-ichiro Kamata; Eiji Kawaguchi

doi:10.1117/12.50830

1 December 1991 Hilbert scanning arithmetic coding for multispectral image compression

Arnulfo Perez, Sei-ichiro Kamata, Eiji Kawaguchi

Proceedings Volume 1567, Applications of Digital Image Processing XIV; (1991) https://doi.org/10.1117/12.50830
Event: San Diego, '91, 1991, San Diego, CA, United States

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.

Citation Download Citation

Arnulfo Perez, Sei-ichiro Kamata, and Eiji Kawaguchi "Hilbert scanning arithmetic coding for multispectral image compression", Proc. SPIE 1567, Applications of Digital Image Processing XIV, (1 December 1991); https://doi.org/10.1117/12.50830

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