Scalable Compression Method for Hyperspectral Images
P Ganeshraj, A. Sivasankar · 2013
In this paper, we propose a low complexity compression method to hyperspectral images using distributed source coding (DSC). DCT was applied to the hyperspectral images. Set-partitioning-based approach was utilized to reorganize DCT coefficients into wavelet like tree structure. Cellular automata (CA) for bits and bytes error correcting codes (ECC) to high through put rate. The CA-based scheme can easily be extended for correcting more than two byte errors. Its performance is comparable to that of the DSC scheme based on informed quantization at low bit rate.