Differential evolution algorithm based spatial multi-sensor image fusion

In this paper, a new optimised region based multi-sensor image fusion method is presented. The proposed method works on spatial domain. Differential evolution algorithm is used to optimize the contribution of the input images to fused images based on regions. The method was compared visually and quantitatively with Laplacian Pyramid (LP) and Shift-invariance Discrete Wavelet Transform (SiDWT) methods. Experimental results show that the developed method outperforms other traditional methods and can effectively improve the quality of the fused image.