Wavelet Based Remote Sensing Image Fusion with Color Compensation Rule and IHS Transform

In order to overcome the incompatibility of spatial characteristic enhancement and spectral information preservation for remote sensing image fusion, we present a new wavelet fusion algorithm based on color compensation (CC) rule and intensity-hue-saturation (IHS) transform in this paper. First, the RGB representation of the multispectral (MS) image is transformed by IHS into the intensity, hue and saturation components. Then, the panchromatic (PAN) image and the intensity component of multispectral image are decomposed based on the wavelet transform (WT). For detail wavelet coefficients, we introduce CC into local deviation (LD) fusion, and propose a local compensation (LC) fusion rule; and for approximate wavelet coefficients, we combine CC with high pass filtering (HPF), to propose a high-pass-filtering compensation (HC) fusion rule. Finally, perform inverse IHS transform to the wavelet reconstructed new intensity component and the hue and saturation components from the original MS image to reconstruct the fused image. The visual evaluation and statistical analysis both demonstrate that the proposed algorithm not only enhances the details of result image greatly, but also preserves the spectral information of original multispectral image effectively