A Critical Review of Image Fusion Methods

Abstract

The need for image fusion is rising recently in image processing requirements due to the tremendous amount of acquisition systems. Fusion of images is defined as an alignment of important Information from diverse sensors using numerous mathematical models to generate a single composite image. In this paper, various state-of-art image fusion approaches of diverse levels with their pros and cons, various transform-based and spatial methods with quality metrics, and their applications in different areas have been discussed. Finally, this review has concluded many upcoming directions for different applications of image fusion.