The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7. Beijing 2008 
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in which the aliasing patterns, present in MS images, and hence 
also in the intensity image, are cancelled when the intensity 
image is subtracted from each of the spectral bands. Similarly, 
the aliasing artifacts also disappear in images fused by the 
eSWI-Trous and the eFSWI-Framelets methods. However, the 
aliasing artifacts still appear in images fused by the eSW- 
Wavelets method. Consequently, the elHS, the eSWI-Trous and 
the eFSWI-Framelets methods are more acceptable for visual 
analysis. 
(e) (f) 
Figure 5. The results of full-scale visual fusion: (a) the PAN 
image; (b) the resampled original MS image; (c) fused by the 
elHS; (d) fused by eSW-Wavelets; (e) fused by eSWI-Trous; (f) 
fused by the eFSWI-Framelets. 
5. CONCLUSION 
We present the new hybrid fusion method based on the FIHS 
transform with a control parameter along with the framelet 
transform, and validate this new approach by merging an 
IKONOS PAN image with MS images. To analyze the spatial 
and spectral quality of the resulting images, we used the seven 
quality indices, namely the bias, CC, SD, ERGAS, SAM, Q4, 
and sCC, and compared the results with the quality of images 
fused by other methods of image fusion. In sum, the proposed 
method produces more satisfactory results, both visually and 
quantitatively. 
ACKNOWLEDGMENT 
We would like to thank Prof. Paolo Gamba for supplying the 
quantitative evaluation programs which are provided by the 
IEEE GRSS DFTC, © L. Alparone. 
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