Low complexity hyperspectral image compression algorithm based on bit plane transform

被引：0

作者：

Liu, HS ^{[1
]}

Zhang, LP ^{[1
]}

Huang, LQ ^{[1
]}

机构：

[1] Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, Changchun 130022, Peoples R China

来源：

THIRD INTERNATIONAL SYMPOSIUM ON MULTISPECTRAL IMAGE PROCESSING AND PATTERN RECOGNITION, PTS 1 AND 2 | 2003年 / 5286卷

关键词：

hyperspectral image; image compression; lossless compression; bit plane transform;

D O I：

10.1117/12.538775

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A new hyperspectral image compression algorithm based on bit plane transform is proposed. The main idea of the bit plane transform is to decompose the hyperspectral image into a series of bi-level images which can be compressed more efficient. The gray code and band sequence optimization techniques are adopted to improve the compression performance in the preprocess stage. The main advantages of the algorithm are low complexity and easy realization.

引用

页码：723 / 728

页数：6

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