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Infrared and visible image fusion, a hot topic in the field of image processing, aims at obtaining fused images keeping the advantages of source images.
Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, Eero P Simoncelli, et al · 2004
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Multi-spectral sift for scene category recognition
Matthew Brown and Sabine Süsstrunk · 2011
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Performance comparison of different multi-resolution transforms for image fusion
Shutao Li, Bin Yang, and Jianwen Hu · 2011
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Image fusion using hierarchical pca
Ujwala Patil and Uma Mudengudi · 2011
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Progress in color night vision
Alexander Toet and Maarten A. Hogervorst · 2012
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Conditional generative adversarial nets
Mehdi Mirza and Simon Osindero · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Fusion of infrared and visible sensor images based on anisotropic diffusion and karhunen-loeve transform
Durga Prasad Bavirisetti and Ravindra Dhuli · 2015
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A novel image fusion framework for night-vision navigation and surveillance
Gaurav Bhatnagar and Zheng Liu · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Two-scale image fusion of visible and infrared images using saliency detection
Durga Prasad Bavirisetti and Ravindra Dhuli · 2016
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Image fusion with convolutional sparse representation
Yu Liu, Xun Chen, Rabab K Ward, and Z Jane Wang · 2016
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Infrared and visible image fusion via gradient transfer and total variation minimization
Jiayi Ma, Chen Chen, Chang Li, and Jun Huang · 2016
Cited alongside, same era.
Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connections
Xiaojiao Mao, Chunhua Shen, and Yu-Bin Yang · 2016
Cited alongside, same era.
Infrared and visible image fusion based on total variation and augmented lagrangian
Medical image fusion based on sparse representation of classified image patches
Jing-jing Zong and Tian-shuang Qiu · 2017
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Ar in vr: Simulating infrared augmented vision
F. Lahoud and S. Susstrunk · 2018
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Densefuse: A fusion approach to infrared and visible images
Hui Li and Xiao-Jun Wu · 2018
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Infrared and visible image fusion using a deep learning framework
Hui Li, Xiao-Jun Wu, and Josef Kittler · 2018
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Fast and efficient zero-learning image fusion
Fayez Lahoud and Sabine Süsstrunk · 2019
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Infrared and visible image fusion methods and applications: A survey
Jiayi Ma, Yong Ma, and Chang Li · 2019
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Hanqi Guo, Yong Ma, Xiaoguang Mei, and Jiayi Ma · 2017
Cited alongside, same era.
An adaptive fusion algorithm for visible and infrared videos based on entropy and the cumulative distribution of gray levels
Hai-Miao Hu, Jiawei Wu, Bo Li, Qiang Guo, and Jin Zheng · 2017
Cited alongside, same era.
Deepfuse: A deep unsupervised approach for exposure fusion with extreme exposure image pairs
K Ram Prabhakar, V Sai Srikar, and R Venkatesh Babu · 2017
Cited alongside, same era.
Infrared and visible image fusion via saliency analysis and local edge-preserving multi-scale decomposition
Xiaoye Zhang, Yong Ma, Fan Fan, Ying Zhang, and Jun Huang · 2017
Cited alongside, same era.
Later among the works it cites.
Fusiongan: A generative adversarial network for infrared and visible image fusion
Jiayi Ma, Wei Yu, Pengwei Liang, Chang Li, and Junjun Jiang · 2019
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A survey on region based image fusion methods
Bikash Meher, Sanjay Agrawal, Rutuparna Panda, and Ajith Abraham · 2019
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Infrared and visible image fusion via detail preserving adversarial learning
Jiayi Ma, Pengwei Liang, Wei Yu, Chen Chen, Xiaojie Guo, Jia Wu, and Junjun Jiang · 2020
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