REVIEW ON IMAGE FUSION TECHNIQUES AND PERFORMANCE EVALUATION PARAMETERS

With the advent and proliferation of image processing, image fusion has been an important research topic in many related areas such as computer vision, automatic object detection, remote sensing, robotics, medical imaging, image classification, military and law enforcement, etc. The aim of image fusion is to integrate corresponding information from different sources into one new image. The idea is to lessen uncertainty and minimize redundancy in the output while maximizing relevant information particular to an application or task. This paper discusses the basics of image fusion, various pixel level algorithms for image fusion and methods for evaluating and assessing the performance of these fusion algorithms.