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

Shih-Chieh Wei; Bormin Huang; Alok Ahuja

doi:10.1117/12.682440

1 September 2006 Lossless compression of 3D ultraspectral sounder data using the prediction-based lower triangular transform

Shih-Chieh Wei, Bormin Huang, Alok Ahuja

Author Affiliations +

Proceedings Volume 6300, Satellite Data Compression, Communications, and Archiving II; 630003 (2006) https://doi.org/10.1117/12.682440
Event: SPIE Optics + Photonics, 2006, San Diego, California, United States

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.

Citation Download Citation

Shih-Chieh Wei, Bormin Huang, and Alok Ahuja "Lossless compression of 3D ultraspectral sounder data using the prediction-based lower triangular transform", Proc. SPIE 6300, Satellite Data Compression, Communications, and Archiving II, 630003 (1 September 2006); https://doi.org/10.1117/12.682440

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