Lossless Compression of Hyperspectral Image Based on 3D-SPIHT Using Band Classification
Shen Lan-sun · 2005
The spectral correlation in hyperspectral image is highly correlated, but it differs in different bands. A lossless compression scheme based on band grouping and 3D-SPIHT algorithm is proposed in this paper. First, we divide the image bands in different groups according to the band’s type. Then three dimensional integer wavelet transform is applied to each group, which can exploit both the spatial and spectral correlation. Finally, three-dimensional SPIHT algorithm is used to encode the tree-like wavelet coefficients. Experiments show that this algorithm can achieve better lossless compression as well as low complexity.