Lossless compression of 3D ultraspectral sounder data using the prediction-based lower triangular transform

Abstract

The Karhunen-Loeve transform (KLT) is the optimal unitaty transform that yields the maximum coding gain. The prediction-based lower triangular transform (PLT) features the same decorrelation and coding gain properties as the KLT, but with lower complexity. Unlike KLT, PLT has the perfect reconstruction property which allows its use for lossless compression. In this paper we apply PLT to lossless compression of the ultraspectral sounder data. The experiment on the standard ultraspectral test dataset of 10 AIRS digital count granules shows that the PLT compression outperforms JPEG2000, SPIHT, JPEG-LS, and CCSDS IDC 5/3.