Arithmetic coding model for compression of LANDSAT images

Arnulfo Perez*, Seiichiro Kamata, Eiji Kawaguchi

*この研究の対応する著者

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings of SPIE - The International Society for Optical Engineering
出版社Publ by Int Soc for Optical Engineering
ページ879-884
ページ数6
pt 2
ISBN(印刷版)0819407429
出版ステータスPublished - 1991 12 1
外部発表はい
イベントVisual Communications and Image Processing '91: Visual Communications Part 2 (of 2) - Boston, MA, USA
継続期間: 1991 11 111991 11 13

出版物シリーズ

名前Proceedings of SPIE - The International Society for Optical Engineering
番号pt 2
1605
ISSN(印刷版)0277-786X

Other

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

ASJC Scopus subject areas

  • 電子材料、光学材料、および磁性材料
  • 凝縮系物理学
  • コンピュータ サイエンスの応用
  • 応用数学
  • 電子工学および電気工学

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