3D set partitioned embedded zero block coding algorithm for hyperspectral image compression

Ying Hou; Guizhong Liu

doi:10.1117/12.750975

14 November 2007 3D set partitioned embedded zero block coding algorithm for hyperspectral image compression

Ying Hou, Guizhong Liu

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 679056 (2007) https://doi.org/10.1117/12.750975
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

In this paper, a three-dimensional Set Partitioned Embedded Zero Block Coding (3D SPEZBC) algorithm for hyperspectral image compression is proposed, which is motivated by the EZBC and SPECK algorithms. Experimental results show that the 3D SPEZBC algorithm obviously outperforms 3D SPECK, 3D SPIHT and AT-3D SPIHT, and is slightly better than JPEG2000-MC in the compression performances. Moreover, the 3D SPEZBC algorithm can save considerable memory requirement in comparison with 3D EZBC.

Citation Download Citation

Ying Hou and Guizhong Liu "3D set partitioned embedded zero block coding algorithm for hyperspectral image compression", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 679056 (14 November 2007); https://doi.org/10.1117/12.750975

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