Variational image fusion approach based on TGV and local information
Author:
Affiliation:
1. School of ScienceNanjing University of Science & TechnologyNanjing210094JiangsuPeople's Republic of China
2. Department of MathematicsNanjing UniversityNanjing210093JiangsuPeople's Republic of China
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Computer Vision and Pattern Recognition,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2017.0451
Reference20 articles.
1. Image fusion: Advances in the state of the art
2. A review of image fusion technology in 2005
3. Medical image fusion: A survey of the state of the art
4. Nonlinear total variation based noise removal algorithms
5. Variational Models for Fusion and Denoising of Multifocus Images
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