Fusion of Remote Sensing Images Using Contourlet Transform

Image fusion is a process of producing a single image from a set of input images. Recently, the wavelet transform (WT) has been widely used in image fusion. However, the Contourlet transform give better results because it represents edges better than the wavelets transform. In this paper, fusion algorithms based on the contourlet transform are proposed. These algorithms are tested and compare to an existing similar algorithm using Synthesized and QuickBird images. The experimental results show the superiority of the proposed algorithms over the existing contourlet-based one.