Hilbert scanning arithmetic coding for multispectral image compression

Bibcode
1991SPIE.1567..354P
Perez, Arnulfo; Kamata, Sei-Ichiro; Kawaguchi, Eiji
Bibliographical reference

Proc. SPIE Vol. 1567, p. 354-361, Applications of Digital Image Processing XIV, Andrew G. Tescher; Ed.

Advertised on:
12
1991
Number of authors
3
IAC number of authors
0
Citations
1
Refereed citations
1
Description
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.
Type
Non-refereed

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