Modified listless 3DSPITH with ROI for hyperspectral image compression

A compression algorithm based on asymmetric uniform-tree 3D-DWT and modified listless 3DSPIHT in conjunction with region of interesting (ROI) is presented. It is specially developed for the large aperture static imaging spectrometer (LASIS) system according to its interference properties. Firstly, the hyperspectral interference image series with asymmetric uniform-tree 3D-DWT are decomposed. Secondly, the major hyperspectral coefficients are protected by ROI method. Finally, a modified listless 3DSPIHT algorithm to encode the transformed images is given. The numerical experiment results show that the average PNSR is more than 40dB at 8:1 compression rate, and the efficient protection of hyperspectral information is achieved.