Review on Image Fusion Algorithms

Image fusion is a technique that extracts relevant information from two or more source images into single scene. It serve best in wide spectrum of applications i.e. medical diagnosis (Magnetic resonance image (MRI), Computed tomography (CT)), remote sensing, computer vision, robotics, microscopic imaging and to improve Enhanced Fight Vision System (EFVS), so it has been receiving attention of researchers. Image fusion is a new technique which can preserve important information and reduce amount of data for the purpose of human/ machine perception. This paper has been present literature review on various fusion techniques like principal component analysis, Wavelet transform and Laplacian pyramid and comparison of these techniques helps in selecting techniques in future research work.