Abstract
Image fusion is a process to combine information from different images of the identical scene to make an image that has more information. Main focus of this survey is on image fusion techniques using Computational Intelligence. Image fusion techniques have agreed upon few standards, whereas most of the schemes rely upon multi-scale decompositions. It contains many steps and complex decision models that may be difficult to implement in real-time systems. They are also susceptible to artifacts and noise enhancement because they treat source images as equally likely contributors to the fused result. This research survey will focus on the study of existing and new image fusion techniques.