Inte 
Table 2. Biorthogonal wavelet filter coefficients 
rnational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B4. Istanbul 2004 
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
LD 0 0.0378 | -0.0238 | -0.1106 | 0.3774 0.8527 0.3774 | -0.1106 -0.0238 0.0378 
HD 0 | -0.0645 | 0.0407 0.4181 -0.7885 0.4181 0.0407 | -0.0645 0 0 
LR 0 | -0.0645 | -0.0407 | 0.4181 0.7885 0.4181 -0.0407 -0.0645 0 0 
HR 0 | -0.0378 | -0.0238 | 0.1106 0.3774 | -0.8527 | 0.3774 0.1106 -0.0238 0.0378 
Table 3. Correlation coefficients between the original multispectral file and fusion result 
ORTH BIOR UORTH UBIOR ATRO WIHS 
Multispectral image R 0.743 0.757 0.823 0.813 0.864 0.897 
Multispectral image G 0.726 0.750 0.805 0.817 0.859 0.886 
Multispectral image B 0.714 0.708 0.813 0.804 0.803 0.804 
Table 4. Correlation coefficients between the original panchromatic file and fusion result 
ORTH BIOR UORTH UBIOR ATRO WIHS 
0.876 0.872 0.735 0.725 0.793 0.819 
Panchromatic image 0.879 0.876 0.728 0.714 0.787 0.846 
0.854 0.832 0.704 0.704 0.732 0.721 
  
  
  
4. CONCLUSION 
This paper has described six kinds of wavelet- 
related fusion methods. Their results are compared and 
ranked through both visual and statistical comparison. 
When wavelet transformation alone is used for image 
fusion, the fusion result is often not good. However, if 
the wavelet transform and the IHS transform are 
integrated, better fusion results may be achieved. 
Because the substitution in IHS transform is limited to 
only the intensity component, integrating of the 
wavelet transform to improve or modify the intensity 
and the IHS transform to fuse the image can make the 
fusion process simpler and faster. This integration can 
also better preserve color information. Moreover, from 
the appearance of their results, the WIHS fusion result 
is continuous, while others’ results resemble those 
produced by a high-pass filter. 
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