Hilbert scanning arithmetic coding for multispectral image compression

Arnulfo Pérez, Seiichiro Kamata, Eiji Kawaguchi

研究成果: Conference article

8 引用 (Scopus)


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.

ジャーナルProceedings of SPIE - The International Society for Optical Engineering
出版物ステータスPublished - 1991 12 1
イベントApplications of Digital Image Processing XIV 1991 - San Diego, United States
継続期間: 1991 7 21 → …

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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