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Improving the Performance of Infrared and Visible Image Fusion Based on Latent Low-Rank Representation Nested With Rolling Guided Image Filtering

机译：基于延迟低级表示的红外和可见图像融合性能提高了滚动引导图像滤波

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Ce Gao; Congcong Song; Yanchao Zhang; Donghao Qi; Yi Yu;
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年度 2021
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1. Infrared and visible images fusion by using sparse representation and guided filter [J] . Qilei Li, Wei Wu, Lu Lu, Journal of Intelligent Transportation Systems . 2020,第1a6期

机译：红外和可见图像融合使用稀疏表示和引导滤波器
2. Method based on bitonic filtering decomposition and sparse representation for fusion of infrared and visible images [J] . Changda Xing, Zhisheng Wang, Quan Ouyang, Image Processing, IET . 2018,第12期

机译：基于双调滤波分解和稀疏表示的红外与可见光图像融合方法
3. A novel fusion framework of infrared and visible images based on RLNSST and guided filter [J] . Liu Lu, Song Minghui, Peng Yuanxi, Infrared physics and technology . 2019,第期

机译：基于RLNSST和引导滤波器的红外和可见图像的新型融合框架
4. Research on the decomposition and fusion method for the infrared and visible images based on the guided image filtering and Gaussian filter [C] . Yongxing Jia, Chuanzhen Rong, Cheng Wu, IEEE International Conference on Computer and Communications . 2017

机译：基于导引图像滤波和高斯滤波的红外与可见光图像分解融合方法研究
5. Infrared and visible image fusion for face recognition. [D] . Singh, Saurabh. 2004

机译：红外和可见光图像融合，用于人脸识别。
6. LatLRR-FCNs: Latent Low-Rank Representation With Fully Convolutional Networks for Medical Image Fusion [O] . Zhengyuan Xu, Wentao Xiang, Songsheng Zhu, 2020

机译：LATLRRR-FCN：与完全卷积网络的医学图像融合潜伏的低秩表示
7. A General Perceptual Infrared and Visible Image Fusion Framework Based on Linear Filter and Side Window Filtering Technology [O] . Huibin Yan, Zhongmin Li 2020

机译：基于线性滤波器和侧窗滤波技术的一般感知红外和可见图像融合框架

Improving the Performance of Infrared and Visible Image Fusion Based on Latent Low-Rank Representation Nested With Rolling Guided Image Filtering

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