Hilbert scanning arithmetic coding for multispectral image compression
Arnulfo Perez, Sei‐ichiro Kamata, Eiji Kawaguchi · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1991
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.