Arithmetic coding model for compression of LANDSAT images

Arnulfo Perez, Seiichiro Kamata, Eiji Kawaguchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

The compression of LANDSAT images using Hilbert or Peano scanning and adaptive arithmetic coding is considered. 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. This paper extends on previous work on the integration of the arithmetic coding methodology and an n-dimensional Hilbert scanning algorithm developed by Perez, Kamata and Kawaguchi. Hilbert scanning preserves the spatial continuity of an image, on both the x and y directions, and a higher correlation exists between continuous points than in a raster scan. Therefore, a Hilbert adaptive scheme can better estimate the local probability distributions. Arithmetic coding is most efficient when the probabilities of the symbols are close to one. Therefore, by integrating both the spatial and spectral information into a unified context a high rate of compression can be achieved.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherPubl by Int Soc for Optical Engineering
Pages879-884
Number of pages6
Editionpt 2
ISBN (Print)0819407429
Publication statusPublished - 1991 Dec 1
EventVisual Communications and Image Processing '91: Visual Communications Part 2 (of 2) - Boston, MA, USA
Duration: 1991 Nov 111991 Nov 13

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Numberpt 2
Volume1605
ISSN (Print)0277-786X

Other

OtherVisual Communications and Image Processing '91: Visual Communications Part 2 (of 2)
CityBoston, MA, USA
Period91/11/1191/11/13

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ASJC Scopus subject areas

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

Cite this

Perez, A., Kamata, S., & Kawaguchi, E. (1991). Arithmetic coding model for compression of LANDSAT images. In Proceedings of SPIE - The International Society for Optical Engineering (pt 2 ed., pp. 879-884). (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 1605, No. pt 2). Publ by Int Soc for Optical Engineering.