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
Place of PublicationBellingham, WA, United States
PublisherPubl by Int Soc for Optical Engineering
Pages879-884
Number of pages6
Volume1605
Editionpt 2
ISBN (Print)0819407429
Publication statusPublished - 1991
Externally publishedYes
EventVisual Communications and Image Processing '91: Visual Communications Part 2 (of 2) - Boston, MA, USA
Duration: 1991 Nov 111991 Nov 13

Other

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

Fingerprint

coding
Scanning
scanning
continuity
Probability distributions
methodology
estimates

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

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., Vol. 1605, pp. 879-884). Bellingham, WA, United States: Publ by Int Soc for Optical Engineering.

Arithmetic coding model for compression of LANDSAT images. / Perez, Arnulfo; Kamata, Seiichiro; Kawaguchi, Eiji.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 1605 pt 2. ed. Bellingham, WA, United States : Publ by Int Soc for Optical Engineering, 1991. p. 879-884.

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

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 edn, vol. 1605, Publ by Int Soc for Optical Engineering, Bellingham, WA, United States, pp. 879-884, Visual Communications and Image Processing '91: Visual Communications Part 2 (of 2), Boston, MA, USA, 91/11/11.
Perez A, Kamata S, Kawaguchi E. Arithmetic coding model for compression of LANDSAT images. In Proceedings of SPIE - The International Society for Optical Engineering. pt 2 ed. Vol. 1605. Bellingham, WA, United States: Publ by Int Soc for Optical Engineering. 1991. p. 879-884
Perez, Arnulfo ; Kamata, Seiichiro ; Kawaguchi, Eiji. / Arithmetic coding model for compression of LANDSAT images. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 1605 pt 2. ed. Bellingham, WA, United States : Publ by Int Soc for Optical Engineering, 1991. pp. 879-884
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