Compression of Hyper-Spectral Images Based on Quadtree Partitioning

被引：1
|
作者：
Zhang Wei [1 ]
Dai Ming [1 ]
Yin Chuan-liu [1 ]
机构：
[1] Chinese Acad Sci, Grad Univ, Beijing, Peoples R China
来源：
2009 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY, VOL 4 | 2009年
关键词：
Hyper-Spectral Image; Image Compression; quadtree partition;
D O I：
10.1109/ICCSIT.2009.5234533
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper analyzes the characteristic features of hyper-spectral image and presents a compression of hyper-spectral images based on quadtree partitioning. Quadtree partition is used to get the mean image of the whole image and the significant correlation of image can be decorrelated by subtract the mean image from original image. The difference image is compressed by DCT and encoded with arithmetic code. Experiment show the algorithm is simple and easy to use in real-time image compressing.
引用
收藏
页码：421 / 423
页数：3
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