Hyperspectral Image Compression Using 3-D discrete cosine transform and entropy-constrained trellis coded quantization

Glen P. Abousleman; Michael W. Marcellin; Bobby R. Hunt

doi:10.1117/12.179774

Hyperspectral Image Compression Using 3-D discrete cosine transform and entropy-constrained trellis coded quantization

Glen P. Abousleman, Michael W. Marcellin, Bobby R. Hunt

Research output: Contribution to journal › Conference article › peer-review

4 Scopus citations

Abstract

A system is presented for compression of hyperspectral imagery which utifizes treffis coded quantization (TCQ). Specifically, TCQ is ued to encode transform coefficients resulting from the application of an 8 x 8 x 8 discrete cosine transform. Side information and rate allocation strategies are discussed. Entropy-constrained codebooks are designed using a modified version of the generalized Lloyd algorithm. This entropy constrained system achieves a compression ratio of greater than 70:1 with an average PSNR of the coded hyperspectral sequence exceeding 40.5 dB.

Original language	English (US)
Pages (from-to)	136-147
Number of pages	12
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	2231
DOIs	https://doi.org/10.1117/12.179774
State	Published - Jul 8 1994
Externally published	Yes
Event	Algorithms for Multispectral and Hyperspectral Imagery 1994 - Orlando, United States Duration: Apr 4 1994 → Apr 8 1994

ASJC Scopus subject areas

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

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10.1117/12.179774

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Hyperspectral Image Compression Using 3-D discrete cosine transform and entropy-constrained trellis coded quantization. / Abousleman, Glen P.; Marcellin, Michael W.; Hunt, Bobby R.
In: Proceedings of SPIE - The International Society for Optical Engineering, Vol. 2231, 08.07.1994, p. 136-147.

Research output: Contribution to journal › Conference article › peer-review

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AB - A system is presented for compression of hyperspectral imagery which utifizes treffis coded quantization (TCQ). Specifically, TCQ is ued to encode transform coefficients resulting from the application of an 8 x 8 x 8 discrete cosine transform. Side information and rate allocation strategies are discussed. Entropy-constrained codebooks are designed using a modified version of the generalized Lloyd algorithm. This entropy constrained system achieves a compression ratio of greater than 70:1 with an average PSNR of the coded hyperspectral sequence exceeding 40.5 dB.

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Y2 - 4 April 1994 through 8 April 1994

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Hyperspectral Image Compression Using 3-D discrete cosine transform and entropy-constrained trellis coded quantization

Abstract

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