A Systematic Exploration of Image Fusion: A Review

Abstract

Image fusion in the world of image analysis is a very trendy area of study. It has a broad variety of uses, such as monitoring, diagnosis and imaging, in different fields. All the methodologies have been addressed in this survey paper and different methods are presented to address the vulnerabilities of various issues. In this article, thorough review is carried out. Several attempts have been made to recognize the obstacles and indeed the milestones gained thus far. This paper subject to numerous study papers and have sought to cover any part of image fusion. On the basis of their domain, i.e., in the spatial and frequency domain, multi-scale transform image fusion methods were addressed. Next, with its main implementations and methods interconnected, image fusion is described in depth. Second, in tabulation, analysis of different fusion approaches is performed. Finally, the latest informative discussions of image fusion and potential aspects have been ended. This survey would be seen as a guideline for a domain connected to image fusion. The goal of the survey was to collectively examine the fundamental image fusion process with its categorization based on its modal systems and algorithms. The study shows that tremendous work has been done in the field of image fusion, but in this sense, there is still enormous space for fresh and creative work. The study also shows that any algorithm has its own strengths and disadvantages in this sense.

Special Vehicle Like Ambulance Recognition and Security System Using Mobility Accredit System

“…Tushar et al [10][11][12] demonstrated a high-performance artificial intelligence system that defends the vehicle net from online dangers. The system employs deep learning techniques to protect the autonomous car from attacks.…”