Open AccessA Survey on Image Fusion Requirements, Techniques, Evaluation Metrics, and Its Applications
Author(s) -
M.N. Narsaiah,
S. Vathsal,
D. V. Reddy
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.20.14774
Subject(s) - panchromatic film , image fusion , artificial intelligence , multispectral image , computer science , computer vision , fusion , metric (unit) , identification (biology) , pattern recognition (psychology) , pixel , feature (linguistics) , image (mathematics) , object (grammar) , sensor fusion , engineering , linguistics , philosophy , operations management , botany , biology
Fusion refers to combining two or more distinct things, the main objective of employing fusion is to generate results that provides the most detailed, reliable and accurate information possible. The image fusion is one of the main branchof data fusion. In image fusion the images are fused at different levels of images like pixel, feature and decision level. The necessity of image fusion for high resolution on multispectral and panchromatic images or realtime images for better vision. This paper reviews the general requirements of image fusion, widely used image fusion techniques such as PCA,IHS,DWT,NSCT etc.,summarizes the Quality Assessment Metrics in terms of metric, description and its principle, finally image fusion applications in various fields such as object detection, object identification, optimization and pattern reorganization, medical imaging, etc.,