Image Fusion Based on Transformation and Optimization Techniques

Abstract

Digital image processing is very promising research area for the researchers; image fusion is one of them. Image fusion is the process of improvements in the results for scene by combining information captured by multiple sources or modality sensors. The objective of image fusion is to extract the required important data from the multiple different image to generate a combine image that contain a improvement image than individual image. In this paper we presents the image fusion techniques with the wavelet transform and particle swarm optimization and our simulation shows that the our proposed method gives better results than the existing techniques.