A novel particle swarm optimization for image fusion

Spatial resolutions of IKONOS high-resolution panchromatic (PAN) and low-resolution multispectral (MS) satellite images are 1 m and 4 m, respectively. Image fusion method based on particle swarm optimization is developed for color distortion and blocking artifacts in fused images. A novel particle spatially registered multi-focus images. In order to get the optimal image, the size of block is defined as particle. Two evaluation criteria such as information entropy and cross entropy are used on the analysis and effect evaluation of different fused images. The performance of this method is better than the performance of the existed fusion method. It can eliminate the blocking artifacts of the fusion image and save the time of fusion. The experiment results show that the method is an effective method.