Paper
15 November 2000 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
Author Affiliations +
Abstract
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 [1] that follows reports on the effects of these compression techniques on exploitation of the HYDICE scenes.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James H. Kasner, Ali Bilgin, Michael W. Marcellin, Austin Lan, Bernard V. Brower, Sylvia S. Shen, and Timothy S. Wilkinson "JPEG-2000 compression using 3D wavelets and KLT with application to HYDICE data", Proc. SPIE 4132, Imaging Spectrometry VI, (15 November 2000); https://doi.org/10.1117/12.406584
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CITATIONS
Cited by 8 scholarly publications and 1 patent.
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KEYWORDS
Wavelets

Quantization

Image compression

Standards development

Computer programming

Sensors

Algorithm development

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