A Fusion Method of Multi-spectral Image and Panchromatic Image Based on NSCT Transform and Adaptive Gamma Correction

The purpose of remote sensing images fusion is to produce a fused image that contains more clear, accurate and comprehensive information than any single image. an image fusion algorithm incorporating gamma-corrected is proposed based on non-subsampled Contourlet transform (NSCT). Firstly, the multispectral image is transformed to intensity-hue-saturation (IHS) system. Secondly, the panchromatic image and the component intensity of the multispectral image are decomposed by NSCT. Then the NSCT coefficients of high and low frequency subbands are fused by different rules, respectively. For the low frequency subbands, an adaptive gamma correction was used and mutual information as the threshold for the weighted coefficient fusion. The max-abs-based fusion rule is used to fuse the high frequency coefficients. Finally, the fusion image can be obtained by performing inverse NSCT and inverse IHS transform. Experiment results demonstrate that the fused image contains abundant detailed contents and preserves the saliency structure. Our proposed method achieves better visual quality than the current methods.