Embedded zeroblock coding algorithm based on KLT and wavelet transform for hyperspectral image compression

Ying Hou

doi:10.1117/12.834039

30 October 2009 Embedded zeroblock coding algorithm based on KLT and wavelet transform for hyperspectral image compression

Ying Hou

Author Affiliations +

Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74984Y (2009) https://doi.org/10.1117/12.834039
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

In this paper, a hyperspectral image lossy coder using three-dimensional Embedded ZeroBlock Coding (3D EZBC) algorithm based on Karhunen-Loève transform (KLT) and wavelet transform (WT) is proposed. This coding scheme adopts 1D KLT as spectral decorrelator and 2D WT as spatial decorrelator. Furthermore, the computational complexity and the coding performance of the low-complexity KLT are compared and evaluated. In comparison with several stateof- the-art coding algorithms, experimental results indicate that our coder can achieve better lossy compression performance.

Citation Download Citation

Ying Hou "Embedded zeroblock coding algorithm based on KLT and wavelet transform for hyperspectral image compression", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74984Y (30 October 2009); https://doi.org/10.1117/12.834039

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