Hilbert scanning arithmetic coding for multispectral image compression

Perez, Arnulfo; Kamata, Sei-Ichiro; Kawaguchi, Eiji
Referencia bibliográfica

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

Fecha de publicación:
12
1991
Número de autores
3
Número de autores del IAC
0
Número de citas
1
Número de citas referidas
1
Descripción
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.