3 D Wavelet Block Tree Coding for Hyperspectral Images

semanticscholar(2019)

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摘要
A novel hyperspectral image compression scheme based on set partitioned compression scheme is proposed. This compression scheme uses the 3D wavelet transform to exploits the both, inter sub-band & intra sub-band correlation, among the wavelet coefficients of transformed hyperspectral images. The compression scheme is based on the spatial oriented trees (SOT) which is the basic unit in block. Block is in cube shape having the coefficients m*m*m in contrast to a single coefficient in three dimension set partitioning in hierarchical trees compression scheme. Each SOT has a root node in LLL band with the child and descendent blocks in high frequency sub-band. So, proposed wavelet based compression scheme uses the features of both zeroblock & zerotree base compression schemes.
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