Low Complexity and Low Memory Compression Algorithm for Hyperspectral Image Sensors.

The 3D-zero memory set partitioned embedded block (3D-ZM-SPECK) is an embedded and memory-efficient compression algorithm. Through, the 3D-ZM-SPECK does not require any coding memory, but testing of the sets for each bit-plane increases the complexity significantly which led a big constrain for the low resource HS image sensors. The proposed HS image compression algorithm is the low complexity solution of 3D-ZM-SPECK which reduces the recursive significance test of sets. Simulation results demonstrate that the proposed 3D-M-ZM-SPECK significantly reduces the complexity by ~ 25% with the other state of art HS image compression algorithms. Thus, it is a viable option for the HS image sensors. [ABSTRACT FROM AUTHOR]