An adaptive wavelet transformation used on interference hyperspectral image compression
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(1. Science and Technology on Integrated Information System Laboratory,Institute of Software, Chinese Academy of Sciences, 100190 Beijing, China; 2. Xi′an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, 710119 Xi′an, China;3. School of Computer Science, Xi′an Shiyou University, 710065 Xi′an, China)

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TP731

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    Abstract:

    To get better performance of interference hyperspectral image compression, according to the imaging principle ofinterference hyperspectral image, we propose an adaptive direction prediction wavelet transform forLWT (Lifting Wavelet Transformation),to get the best predicted values through adaptive direction in the LWT on the frame direction, and change the order of the traditional wavelet transform.The experiment results prove that the proposed method can get higher SNR at the same bpppb compared with the traditional method, and can get smaller MSE in the recovered spectral curve.

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History
  • Received:July 25,2013
  • Revised:
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  • Online: July 30,2014
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