Multispectral and Panchromatic Images Fusion Based on Integrating Feedback Retina and IHS Model

Abstract— In this paper, we present feedback retina model combined with IHS model for fusion of multispectral (SPOT) and panchromatic (IKONOS) images. Multispectral images are limited by low spatial resolution. So, combining of lowresolution multi-spectral and high-resolution panchromatic images is a way for improving the spatial quality of multispectral images. An ideal fusion process preserves the original functional characteristics and adds spatial characteristics to the image with no spatial distortion. The intensity-hue-saturation (IHS) algorithm and the feedback retina model fusion technique can maintain more spatial feature and more functional information content, respectively. The presented algorithm integrates the advantages of both fusion methods to enhance the information content. Visual and statistical analyses show that the proposed algorithm significantly improves the fusion quality in terms of discrepancy, and average gradient; compared to fusion methods including, IHS, Brovey, discrete wavelet transform, atrous wavelet and Non-feedback retina model.