Lossy Compression of Hyperspectral Images Based on JPEG2000

被引：0
作者：
Zemliachenko, Alexander [1 ]
Lukin, Vladimir [1 ]
Vozel, Benoit [2 ]
机构：
[1] Natl Aerosp Univ N Ye Zhukovsky KhAI, Dept Informat Commun Technol AA Zelensky, Kharkov, Ukraine
[2] Univ Rennes 1, Lab TSI2M, IETR UMR CNRS 6164, F-22305 Lannion, France
来源：
2017 4TH INTERNATIONAL SCIENTIFIC-PRACTICAL CONFERENCE PROBLEMS OF INFOCOMMUNICATIONS-SCIENCE AND TECHNOLOGY (PIC S&T) | 2017年
关键词：
lossy image compression; hyperspectral images; noise;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Lossy compression of images is used in different applications including remote sensing. A problem is how to carry out such lossy compression automatically with providing appropriate quality. This paper deals with considering peculiarities of using JPEG2000-based coders for compressing hyperspectral data. Two approaches component-wise and 3D are analyzed. It is demonstrated that 3D compression provides better results but both approaches are characterized by the same drawback it is problematic to provide distortions less or comparable with noise in hyperspectral images.
引用
收藏
页码：600 / 603
页数：4
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