Since Chavez proposed the highpass filtering procedure to fuse multispectral and panchromatic images, several fusion
methods have been developed based on the same principle: to extract from the panchromatic image spatial detail
information to later inject it into the multispectral one. In this paper, we present new fusion alternatives based on the
same concept, using the multiresolution contourlet decomposition to execute the detail extraction phase and the
generalized intensity-hue-saturation (GIHS) and principal component analysis (PCA) procedures to inject the spatial
detail of the panchromatic image into the multispectral one. Experimental results show the new fusion method have
better performance than GIHS, PCA, wavelet and the method of improved GIHS and PCA mergers based on wavelet
decomposition.
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