  Among the existing fusion algorithms, the wavelet fusion method is the most
frequently discussed one in recent publications because the wavelet approach
preserves the spectral characteristics of the multispectral image better than
other methods. The Brovey is also a popular fusion method used for its ability
in preserving the spatial information of the PAN image. This study presents a
new fusion approach that integrates the advantages of both the Brovey (which
preserves a high degree of spatial information) and the wavelet (which
preserves a high degree of spectral information) techniques to reduce the
colour distortion of fusion results. Visual and statistical analyzes show that
the proposed algorithm clearly improves the merging quality in terms of:
correlation coefficient and UIQI; compared to fusion methods including, IHS,
Brovey, PCA , HPF, discrete wavelet transform (DWT), and a-trous wavelet.
