Improved low-complexity intraband, lossless compression of hyperspectral images by means of Slepian-Wolf coding

被引：0

作者：

Nonnis, A ^{[1
]}

Grangetto, M ^{[1
]}

Magli, E ^{[1
]}

Olmo, G ^{[1
]}

Barni, M ^{[1
]}

机构：

[1] Politecn Torino, Dipartimento Elettron, Ctr Multimedia Radio Commun, I-10129 Turin, Italy

来源：

2005 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), VOLS 1-5 | 2005年

关键词：

INFORMATION; CODES;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In remote sensing systems, on-board data compression is a crucial task that has to be carried out with limited computational resources. In this paper we propose a novel lossless compression scheme for multispectral and hyperspectral images, which combines low encoding complexity and high-performance. The encoder is based on distributed source coding concepts, and employs Slepian-Wolf coding of the bitplanes of the CALIC prediction errors to achieve improved performance. Experimental results on AVIRIS data show that the proposed scheme exhibits performance similar to CALIC, and significantly better than JPEG 2000.

引用

页码：533 / 536

页数：4

共 11 条

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