Lossy compression of hyperspectral images based on JPEG2000
Alexander Zemliachenko, Владимир Васильевич Лукин, Benoît Vozel · 2017
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.