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2009 WRI World Congress on Computer Science and Information Engineering
Hyperspectral Image Compression Based on Wavelets and Uniform Directional Filter Banks
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
A multiscale geometric analysis method based on Wavelet and Uniform Directional Filter Banks (WUDFB) is structured in order to overcome the insufficiencies of contourlet transform and wavelet-based contourlet transform which are used in compression. A novel WUDFB-based compression algorithm of hyperspectral imagery is proposed, in which intra-band WUDFB and inter-band prediction are used to remove the spatial and spectral redundancy respectively, and no-list set partitioned embedded block coder makes output embedded stream. The experimental results by using 64 band hyperspectral data show that the algorithm achieves higher peak signal-to-noise ratio at high compression ratio and preserves more detail information of original images than the algorithm based on wavelet transform.
Index Terms:
Hyperspectral image compression, Multiscale geometric analysis, Uniform directional filter banks, Set partitioned embedded block coder
Citation:
Dong Song, Lihua Hu, Yan Feng, "Hyperspectral Image Compression Based on Wavelets and Uniform Directional Filter Banks," csie, vol. 5, pp.129-133, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
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