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This study addresses the issue of fusing infrared and visible images that appear differently for object detection.
Information measure for performance of image fusion
Guihong Qu, Dali Zhang, and Pingfan Yan · 2002
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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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Assessment of image fusion procedures using entropy, image quality, and multispectral classification
Wesley J. Roberts, Jan A. Aardt Van, and Fethi Ahmed · 2008
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Image fusion with guided filtering
Shutao Li, Xudong Kang, and Jianwen Hu · 2013
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A new image quality metric for image fusion: the sum of the correlations of differences
V Aslantas and E Bendes · 2015
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Bilevel optimization with nonsmooth lower level problems
Peter Ochs, René Ranftl, Thomas Brox, and Thomas Pock · 2015
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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
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Infrared and visible image fusion based on visual saliency map and weighted least square optimization
Jinlei Ma, Zhiqiang Zhou, Bo Wang, and Hua Zong · 2017
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Dual discriminator generative adversarial nets
Tu Nguyen, Trung Le, Hung Vu, and Dinh Phung · 2017
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Multispectral object detection for autonomous vehicles
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The tno multiband image data collection
Alexander Toet · 2017
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Zijun Deng, Xiaowei Hu, Lei Zhu, Xuemiao Xu, Jing Qin, Guoqiang Han, and Pheng-Ann Heng · 2018
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Object classification using cnn-based fusion of vision and lidar in autonomous vehicle environment
Hongbo Gao, Bo Cheng, Jianqiang Wang, Keqiang Li, Jianhui Zhao, and Deyi Li · 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 discrete cosine transform and swarm intelligence for surveillance applications
Nirmala Paramanandham and Kishore Rajendiran · 2018
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Graphnet: learning image pseudo annotations for weakly-supervised semantic segmentation
Mengyang Pu, Yaping Huang, Qingji Guan, and Qi Zou · 2018
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Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: A review
Qiang Zhang, Yi Liu, Rick S Blum, Jungong Han, and Dacheng Tao · 2018
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Multi-focus image fusion with a natural enhancement via a joint multi-level deeply supervised convolutional neural network
Wenda Zhao, Dong Wang, and Huchuan Lu · 2018
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A novel multi-modality image fusion method based on image decomposition and sparse representation
Zhiqin Zhu, Hongpeng Yin, Yi Chai, Yanxia Li, and Guanqiu Qi · 2018
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Dual attention network for scene segmentation
Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang, and Hanqing Lu · 2019
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Ganmcc: A generative adversarial network with multiclassification constraints for infrared and visible image fusion
Jiayi Ma, Hao Zhang, Zhenfeng Shao, Pengwei Liang, and Han Xu · 2020
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U2fusion: A unified unsupervised image fusion network
Han Xu, Jiayi Ma, Junjun Jiang, Xiaojie Guo, and Haibin Ling · 2020
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Vifb: a visible and infrared image fusion benchmark
Xingchen Zhang, Ping Ye, and Gang Xiao · 2020
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Didfuse: Deep image decomposition for infrared and visible image fusion
Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Pengfei Li, and Jiangshe Zhang · 2020
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Bayesian fusion for infrared and visible images
Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, and Jiangshe Zhang · 2020
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Convolutional networks with dense connectivity
Gao Huang, Zhuang Liu, Geoff Pleiss, Laurens Van Der Maaten, and Kilian Weinberger · 2019
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Risheng Liu, Zhiying Jiang, Xin Fan, and Zhongxuan Luo · 2019
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Multiple task-oriented encoders for unified image fusion
Zhuoxiao Li, Jinyuan Liu, Risheng Liu, Xin Fan, Zhongxuan Luo, and Wen Gao · 2021
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Learning a deep multi-scale feature ensemble and an edge-attention guidance for image fusion
Jinyuan Liu, Xin Fan, Ji Jiang, Risheng Liu, and Zhongxuan Luo · 2021
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Smoa: Searching a modality-oriented architecture for infrared and visible image fusion
Jinyuan Liu, Yuhui Wu, Zhanbo Huang, Risheng Liu, and Xin Fan · 2021
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Investigating bi-level optimization for learning and vision from a unified perspective: A survey and beyond
Risheng Liu, Jiaxin Gao, Jin Zhang, Deyu Meng, and Zhouchen Lin · 2021
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Searching a hierarchically aggregated fusion architecture for fast multi-modality image fusion
Risheng Liu, Zhu Liu, Jinyuan Liu, and Xin Fan · 2021
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Retinex-inspired unrolling with cooperative prior architecture search for low-light image enhancement
Risheng Liu, Long Ma, Jiaao Zhang, Xin Fan, and Zhongxuan Luo · 2021
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Learning deep context-sensitive decomposition for low-light image enhancement
Long Ma, Risheng Liu, Jiaao Zhang, Xin Fan, and Zhongxuan Luo · 2021
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Task-oriented convex bilevel optimization with latent feasibility
Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, and Jin Zhang · 2022
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