• Electronics Optics & Control
  • Vol. 25, Issue 6, 39 (2018)
WANG Pin1, CHEN Xin1, NIAN Yongjian2, and QIAO Liang2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2018.06.009 Cite this Article
    WANG Pin, CHEN Xin, NIAN Yongjian, QIAO Liang. Multi-spectral Image Compression Based on Sub-band Spectral Transform[J]. Electronics Optics & Control, 2018, 25(6): 39 Copy Citation Text show less

    Abstract

    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.
    WANG Pin, CHEN Xin, NIAN Yongjian, QIAO Liang. Multi-spectral Image Compression Based on Sub-band Spectral Transform[J]. Electronics Optics & Control, 2018, 25(6): 39
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