Journal
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
Volume 28, Issue 7, Pages 4425-4447Publisher
SPRINGER
DOI: 10.1007/s11831-021-09540-7
Keywords
-
Ask authors/readers for more resources
Image fusion is the alignment of important information from diverse sensors to generate a single compound image, which is crucial for improving image quality and maintaining the integrity of important features in various applications. Various state-of-art image fusion methods, quality metrics, and future directions have been discussed in this review.
The necessity of image fusion is growing in recently in image processing applications due to the tremendous amount of acquisition systems. Fusion of images is defined as an alignment of noteworthy Information from diverse sensors using various mathematical models to generate a single compound image. The fusion of images is used for integrating the complementary multi-temporal, multi-view and multi-sensor Information into a single image with improved image quality and by keeping the integrity of important features. It is considered as a vital pre-processing phase for several applications such as robot vision, aerial, satellite imaging, medical imaging, and a robot or vehicle guidance. In this paper, various state-of-art image fusion methods of diverse levels with their pros and cons, various spatial and transform based method with quality metrics and their applications in different domains have been discussed. Finally, this review has concluded various future directions for different applications of image fusion.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available