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An ideal fusion method preserves the Spectral information in fused image andadds spatial information to it with no spectral distortion. Among the existingfusion algorithms, the contourlet-based fusion method is the most frequentlydiscussed one in recent publications, because the contourlet has the ability tocapture and link the point of discontinuities to form a linear structure. TheBrovey is a popular pan-sharpening method owing to its efficiency and highspatial resolution. This method can be explained by mathematical model ofoptical remote sensing sensors. This study presents a new fusion approach thatintegrates the advantages of both the Brovey and the cotourlet techniques toreduce the color distortion of fusion results. Visual and statistical analyzesshow that the proposed algorithm clearly improves the merging quality in termsof: correlation coefficient, ERGAS, UIQI, and Q4; compared to fusion methodsincluding IHS, PCA, Adaptive IHS, and Improved Adaptive PCA.

Improved Adaptive Brovey as a New Method for Image Fusion