TY - GEN

T1 - Arithmetic coding model for compression of LANDSAT images

AU - Perez, Arnulfo

AU - Kamata, Seiichiro

AU - Kawaguchi, Eiji

PY - 1991/12/1

Y1 - 1991/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0026403819&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0026403819&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0026403819

SN - 0819407429

T3 - Proceedings of SPIE - The International Society for Optical Engineering

SP - 879

EP - 884

BT - Proceedings of SPIE - The International Society for Optical Engineering

PB - Publ by Int Soc for Optical Engineering

T2 - Visual Communications and Image Processing '91: Visual Communications Part 2 (of 2)

Y2 - 11 November 1991 through 13 November 1991

ER -