Image Fusion Based on PCA and Undecimated Discrete Wavelet Transform

  • Wei Liu
  • Jie Huang
  • Yongjun Zhao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4233)


On the basis of analyzing the performances of popular image fusion methods, a new remote sensing image fusion method based on principal component analysis (PCA), high pass filter (HPF) and undecimated discrete wavelet transform (UDWT) is proposed. Some measure parameters are suggested to evaluate the fusion method. Experiments have been performed with the SPOT panchromatic image and the TM multi-spectral image. Both subjectively qualitative analysis and objectively quantitative evaluation verify the performance of the new method. With the same wavelet transform level, the fusion image using the proposed method preserves more sophisticated spatial details and distorts less spectral information in comparison with the fusion image using the traditional discrete wavelet transform (DWT) method.


Discrete Wavelet Transform Fusion Image Discrete Wavelet Spectral Information High Pass Filter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Wei Liu
    • 1
  • Jie Huang
    • 1
  • Yongjun Zhao
    • 1
  1. 1.Information Science and Technology InstituteHenanChina

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