31 August 2009 Hyperspectral image compression based on the framework of DSC using 3D-wavelet and LDPC
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Proceedings Volume 7455, Satellite Data Compression, Communication, and Processing V; 745513 (2009); doi: 10.1117/12.825466
Event: SPIE Optical Engineering + Applications, 2009, San Diego, California, United States
Abstract
In this paper, we propose a method based on both 3D-wavelet transform and low-density parity-check codes to realize the compression of hyperspectral images on the framework of DSC (Distributed Source Coding). The new approach which combines DSC and 3D-wavelet transform technique makes it possible to realize low encoding complexity at the encoder and achieve efficient performance of hyperspectral image compression. The experimental results for hyperspectral image coding show that the new method can performs better than 3D-SPIHT and can outperform than 2D-SPIHT and JPEG2000.
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Jiaji Wu, Kun Jiang, Yong Fang, Licheng Jiao, "Hyperspectral image compression based on the framework of DSC using 3D-wavelet and LDPC", Proc. SPIE 7455, Satellite Data Compression, Communication, and Processing V, 745513 (31 August 2009); doi: 10.1117/12.825466; https://doi.org/10.1117/12.825466
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KEYWORDS
Image compression

Hyperspectral imaging

Computer programming

JPEG2000

Data compression

Signal to noise ratio

Wavelet transforms

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