The Study on Image Compression Methods

被引:0
作者
Chen, Zhi [1 ]
Qiu, Yuehong [1 ]
机构
[1] Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian, Peoples R China
来源
AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION | 2012年 / 137卷
关键词
image compression; JPEG2000; remote sensing image; CCSDS;
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
Because of the higher resolution, the data volume of remote sensing image is very large. To communicate and use them on network, efficient compression is very important. In this study, we present the main subjects in the theory of data compression and some image compression methods.
引用
收藏
页码:277 / 283
页数:7
相关论文
共 6 条
[1]   Error-Resilient and Low-Complexity Onboard Lossless Compression of Hyperspectral Images by Means of Distributed Source Coding [J].
Abrardo, Andrea ;
Barni, Mauro ;
Magli, Enrico ;
Nencini, Filippo .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2010, 48 (04) :1892-1904
[2]   An automatic bridge detection technique for multispectral images [J].
Chaudhuri, D. ;
Samal, Ashok .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2008, 46 (09) :2720-2727
[3]  
Hou P, 1998, INT C PATT RECOG, P1637, DOI 10.1109/ICPR.1998.712031
[4]  
Jiang H., 2006, P INT C COMM TECHN N, P1
[5]  
Pelon H., 1996, P ROUND TABLE DATA C, P23
[6]   Urban-Area and Building Detection Using SIFT Keypoints and Graph Theory [J].
Sirmacek, Berit ;
Uensalan, Cern .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2009, 47 (04) :1156-1167