Hyperspectral imaging is a powerful technique and has been used in a large number of applications. However, it generates massively large image data sets. Access and transport of these data sets will stress existing processing, storage and transmission capabilities. A new embedded, block-based, wavelet transform coding algorithm of low complexity is developed for hyperspectral image compression: Three-Dimensional Set Partitioned Embedded bloCK (3D-SPECK). 3D-SPECK efficiently encodes 3D volumetric hyperspectral image data by exploiting the dependencies in all dimensions. It can generate either...