JPEG-2000 compression using 3D wavelets and KLT with application to HYDICE data

James H. Kasner, Ali Bilgin, Michael W. Marcellin, Austin Lan, Bernard V. Brower, Sylvia S. Shen, Timothy S. Wilkinson

Research output: Contribution to journalArticlepeer-review

13 Scopus citations


JPEG-2000 is the new image compression standard currently under development by ISO/IEC. Part I of this standard provides a `baseline' compression technology appropriate for grayscale and color imagery. Part II of the standard will provide extensions that allow for more advanced coding options, including the compression of multiple component imagery. Several different multiple component compression techniques are currently being investigated for inclusion in the JPEG-2000 standard. In this paper we apply some of these techniques toward the compression of HYDICE data. Two decorrelation techniques, 3D wavelet and Karhunen-Loeve Transform (KLT), were used along with two quantization techniques, scalar and trellis-coded (TCQ), to encode two HYDICE scenes at five different bit rates (4.0, 2.0, 1.0, 0.5, 0.25 bits/pixel/band). The chosen decorrelation and quantization techniques span the range from the simplest to the most complex multiple component compression systems being considered for inclusion in JPEG-2000. This paper reports root-mean-square-error (RMSE) and peak signal-to-noise ratio (PSNR) metrics for the compressed data. A companion paper that follows reports on the effects of these compression techniques on exploitation of the HYDICE scenes.

Original languageEnglish (US)
Pages (from-to)157-166
Number of pages10
JournalProceedings of SPIE - The International Society for Optical Engineering
Issue number1
StatePublished - Nov 15 2000


  • 3D wavelet
  • Compression
  • JPEG-2000
  • KLT
  • Karhunen-Loeve transform
  • hyperspectral

ASJC Scopus subject areas

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


Dive into the research topics of 'JPEG-2000 compression using 3D wavelets and KLT with application to HYDICE data'. Together they form a unique fingerprint.

Cite this