Pixel based satellite image fusion using dual-tree complex and Curvelet transform

Multisensory Image fusion is the operation of combining complementary information from two or more source images into a single fused image. The fused image will supply supplementary information from source images and reduce the redundancy. Satellite image fusion is the process of fusion between high spectral but low resolution multispectral and low-spectral but high-resolution panchromatic images. Traditional fusion methods can't give the image with high spectral and spatial resolution. Fusion using DWT achieve an image with high spectral information but failed to provide spatial information and it has less sharpness in fused image. But using Curvelet transform we get a fused image with high spatial and spectral information with more sharpness.