Image Fusion Techniques: A Survey Image Fusion Techniques: A Survey

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....

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Published in:	Archives of computational methods in engineering Vol. 28; no. 7; pp. 4425 - 4447
Main Authors:	Kaur, Harpreet, Koundal, Deepika, Kadyan, Virender
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 01.12.2021 Springer Nature B.V
Subjects:	Computer vision Engineering Image acquisition Image processing Image quality Machine vision Mathematical and Computational Engineering Medical imaging Original Paper Robots Satellite imagery
ISSN:	1134-3060, 1886-1784, 1886-1784
Online Access:	Get full text
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Abstract	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.
AbstractList	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. 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.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.
Author	Kadyan, Virender Kaur, Harpreet Koundal, Deepika
Author_xml	– sequence: 1 givenname: Harpreet surname: Kaur fullname: Kaur, Harpreet organization: Department of Computer Science, Chitkara University Institute of Engineering and Technology, Chitkara University – sequence: 2 givenname: Deepika orcidid: 0000-0003-1688-8772 surname: Koundal fullname: Koundal, Deepika email: koundal@gmail.com organization: Department of Virtualization, School of Computer Science, University of Petroleum and Energy Studies – sequence: 3 givenname: Virender surname: Kadyan fullname: Kadyan, Virender organization: Department of Informatics, School of Computer Science, University of Petroleum and Energy Studies
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/33519179$$D View this record in MEDLINE/PubMed
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Snippet	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...
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SubjectTerms	Computer vision Engineering Image acquisition Image processing Image quality Machine vision Mathematical and Computational Engineering Medical imaging Original Paper Robots Satellite imagery
Subtitle	Image Fusion Techniques: A Survey
Title	Image Fusion Techniques: A Survey
URI	https://link.springer.com/article/10.1007/s11831-021-09540-7 https://www.ncbi.nlm.nih.gov/pubmed/33519179 https://www.proquest.com/docview/2596619981 https://www.proquest.com/docview/2484167316 https://pubmed.ncbi.nlm.nih.gov/PMC7829034
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