Compression of hyperspectral imagery using hybrid DPCM/DCT and entropy-constrained trellis coded quantization

Author

Abousleman, Glen P.

Author_Institution

Hughes Space & Communo., Los Angeles, CA, USA

fYear

1995

fDate

28-30 Mar 1995

Firstpage

322

Lastpage

331

Abstract

A system is presented for compression of hyperspectral imagery which utilizes trellis coded quantization (TCQ). Specifically, DPCM is used to spectrally decorrelate the hyperspectral data, while a 2-D discrete cosine transform (DCT) coding scheme is used for spatial decorrelation. Entropy-constrained codebooks are designed using a modified version of the generalized Lloyd algorithm. This coder achieves compression ratios of greater than 70:1 with average PSNR of the coded hyperspectral sequence exceeding 40.0 dB

Keywords

data compression; differential pulse code modulation; discrete cosine transforms; entropy codes; image coding; image sequences; quantisation (signal); remote sensing; transform coding; trellis codes; 2-D discrete cosine transform; DCT coding scheme; average PSNR; decorrelation; entropy-constrained codebooks; generalized Lloyd algorithm; hybrid DPCM/DCT; hyperspectral image sequence; hyperspectral imagery; image compression; spatial decorrelation; trellis coded quantization; Algorithm design and analysis; Discrete cosine transforms; Encoding; High-resolution imaging; Hyperspectral imaging; Hyperspectral sensors; Image coding; Quantization; Radiometry; Spectroscopy;

fLanguage

English

Publisher

ieee

Conference_Titel

Data Compression Conference, 1995. DCC '95. Proceedings

Conference_Location

Snowbird, UT

ISSN

1068-0314

Print_ISBN

0-8186-7012-6

Type

conf

DOI

10.1109/DCC.1995.515522

Filename

515522