Compression of Hyper-Spectral Images Based on Quadtree Partitioning

摘要：

The paper analyzes the characteristic features of hyper-spectral image and presents a compression of hyperspectral 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.

关键词： Hyper-Spectral Image Image Compression quadtree partition

作者: ZHANG Wei DAI Ming YIN Chuan-li

作者单位: Graduate University , Chinese Academy of Sciences Beijing, China Changchun Institute of Optics Fine Graduate University , Chinese Academy of Sciences Beijing, China Changchun Institute of Optics Fine

会议类型: 国际会议

会议名称: 2009 2nd IEEE International Conference on Computer Science and Information Technology(第二届计算机科学与信息技术国际会议 ICCSIT2009)

会议地点: 北京

会议语种:英文

页码: 2369-2371

在线出版日期: 2009-08-08（万方平台首次上网日期，不代表论文的发表时间）