Reducing the compression time of the spectral DPCM for lossless compression of 3D hyperspectral sounding data

  • Authors:

  • Jarno Mielikainen;Pekka Toivanen;Francisco Urendes Porcel

  • Affiliations:

  • Department of Information Technology, Lappeenranta University of Technology, Lappeenranta, Finland;Department of Information Technology, Lappeenranta University of Technology, Lappeenranta, Finland;University of Granada, Granada, Spain

  • Venue:
  • ICAI'05/MCBC'05/AMTA'05/MCBE'05 Proceedings of the 6th WSEAS international conference on Automation & information, and 6th WSEAS international conference on mathematics and computers in biology and chemistry, and 6th WSEAS international conference on acoustics and music: theory and applications, and 6th WSEAS international conference on Mathematics and computers in business and economics
  • Year:
  • 2005

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Abstract

Image compression of hyperspectral sounder data is necessary because of the large storage requirements. The main objective of this paper is to present an efficient method for prediction coefficient estimation. The estimation is performed on a subset of the all image data points. The compression ratio remains almost the same with our method, at the same time the compression time is reduced to the half of the original compression time.