Hilbert scanning arithmetic coding for multispectral image compression

Arnulfo Pérez, Seiichiro Kamata, Eiji Kawaguchi

Research output: Contribution to journalConference article

8 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)354-361
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume1567
DOIs
Publication statusPublished - 1991 Dec 1
Externally publishedYes
EventApplications of Digital Image Processing XIV 1991 - San Diego, United States
Duration: 1991 Jul 21 → …

Keywords

  • Arithmetic coding
  • Compression
  • Hilbert scanning
  • Landsat
  • Modeling
  • Multispectral image

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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