Lossy Compression of Hyperspectral Images Based on JPEG2000

Alexander Zemliachenko , Vladimir Lukin , Benoit Vozel (1)

1 IETR - Institut d'Électronique et des Technologies du numéRique

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.

Keywords: lossy image compression; hyperspectral images; noise

Domains: Computer Science [cs]; Networking and Internet Architecture [cs.NI]; Engineering Sciences [physics]; Electronics

Alexander Zemliachenko, Vladimir Lukin, Benoit Vozel. Lossy Compression of Hyperspectral Images Based on JPEG2000. 4th International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC SandT), Oct 2017, Kharkiv, Ukraine. ⟨10.1109/INFOCOMMST.2017.8246472⟩. ⟨hal-01770202⟩