Hybrid Image Fusion Method Based On Discrete Wavelet Transform (DWT), Principal Component Analysis (PCA) and Guided Filter

Author(s):  
Andleeb Noor ◽  
Saima Gaffar ◽  
M. T. Hassan ◽  
Mir Junaid ◽  
Aabid Mir ◽  
...  
2012 ◽  
Vol 500 ◽  
pp. 659-665
Author(s):  
Min Cao ◽  
Shan Shan Tan ◽  
Quan Fei Shen

After analysising the principle of nonsubsampled contourlet transform, the image fusion model based on HIS transform and nonsubsampled contourlet transform is proposed. By taking of ALOS image as an example, the image fusion of multi-spectral band and panchromatic band at the same time is carried out by different fusion methods such as the method combining HIS transform and nonsubsampled contourlet transform (NSCT), HIS transform fusion method, principal component analysis (PCA), Brovey and static wavelet transform (SWT). By calculating the quantitative evaluation indicators of the different fused image, it is conclued that the fusion effection of static wavelet transform fusion method and nonsubsampled contourlet transform fusion method is better than the common methods such as HIS transform, principal component analysis and Brovey. In particular, the image fusion effection of nonsubsampled contourlet transform method, which betterly maintains the image spectral information while improving image spatial resolution at the same time, is superior than the fusion evaluation of static wavelet transform fusion method.


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