Statistics – Applications
Scientific paper
Dec 1991
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1991spie.1567..354p&link_type=abstract
Proc. SPIE Vol. 1567, p. 354-361, Applications of Digital Image Processing XIV, Andrew G. Tescher; Ed.
Statistics
Applications
1
Scientific paper
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.
Kamata Sei-Ichiro
Kawaguchi Eiji
Perez Arnulfo
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