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《Electronics Optics & Control》 2018-06
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Multi-spectral Image Compression Based on Sub-band Spectral Transform

WANG Ping;CHEN Xin;NIAN Yong-jian;QIAO Liang;Department of Software and Computer,Chongqing Engineering Institute;School of Biomedical Engineering and Imaging Medicine,Army Medical University;  
To the problem of spaceborne multi-spectral image compression,a compression scheme based on sub-band spectral transform is proposed. First,two-dimensional discrete wavelet transform is performed to each band of multi-spectral image sequences for removing the spatial correlation. Subsequently,in order to remove the spectral correlation,each level of the sub-bands resulted from wavelet transform are regarded as a whole,and sub-band spectral KLT is performed on the two bands by using serial pairwise transform. Finally,Embedded Block Coding with Optimized Truncation( EBCOT) algorithm is performed on all principal components to realize optimal rate-distortion compression. Experimental results show that the proposed algorithm not only provides better compression performance,but also has lower encoding complexity,which is suitable for the onboard compression of multi-spectral images.
【Fund】: 重庆市基础科学与前沿技术项目(cstc2016jcyj A0539)
【CateGory Index】: TP391.41;V443
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