写在前面的话:
本篇博文主要整理汇总一下现有的红外与可见光图像融合算法(文章和代码)。适当地,也会整理出作者的学术主页。整理这些的初衷,是为了方便自己,顺便也给同领域的研究者在找代码等方面提供些许便利。另外,该领域的文章很多,本篇博文也只是整理了其中的一部分,并且,本人不会对论文内容做过多评论。
【2019】
1、文章:FusionGAN:A generative adversarial network for infrared and visible image fusion 【深度学习】
Cite as:
Jiayi Ma, Wei Yu, Pengwei Liang, Chang Li, and Junjun Jiang. FusionGAN: A generative adversarial network for infrared and visible image fusion, Information Fusion, 48, pp. 11-26, Aug. 2019.
Paper:https://doi.org/10.1016/j.inffus.2018.09.004
Code:https://github.com/jiayi-ma/FusionGAN
作者:
马佳义,武汉大学。
个人主页:
http://www.escience.cn/people/jiayima/index.html (科研在线 科研主页)
http://mvp.whu.edu.cn/jiayima/
GitHub地址:https://github.com/jiayi-ma
李畅,合肥工业大学,讲师。
个人主页:http://www.escience.cn/people/lichang/index.html(科研在线 科研主页)
(值得一提:主页内Data栏总结了高光谱图像数据链接。)
GitHub地址:https://github.com/Chang-Li-HFUT
江俊君,哈尔滨工业大学,教授。
个人主页:
http://www.escience.cn/people/jiangjunjun/index.html(科研在线 科研主页)
https://jiangjunjun.wordpress.com
http://homepage.hit.edu.cn/jiangjunjun(哈工大主页)
https://scholar.google.com/citations?user=WNH2_rgAAAAJ&hl=zh-CN&oi=ao(Google学术主页)
https://github.com/junjun-jiang(GitHub主页)
2、文章:Infrared and visible image fusion methods and applications: A survey 【综述文章】
Cite as:
Jiayi Ma, Yong Ma, and Chang Li. "Infrared and visible image fusion methods and applications: A survey", Information Fusion, 45, pp. 153-178, 2019.
Paper:https://doi.org/10.1016/j.inffus.2018.02.004
作者:马佳义,武汉大学。马泳,李畅。
【2018】
1、文章:Infrared and Visible Image Fusion with ResNet and zero-phase component analysis(点击下载文章)【深度学习】
Cite as:
Li H , Wu X J , Durrani T S . Infrared and Visible Image Fusion with ResNet and zero-phase component analysis[J]. 2018.
Paper:https://arxiv.org/abs/1806.07119
Code:https://github.com/hli1221/imagefusion_resnet50
作者:
李辉,江南大学博士。(导师:吴小俊)
主页:https://hli1221.github.io
GitHub地址:
https://github.com/hli1221 (primary GitHub)
https://github.com/exceptionLi
吴小俊:
主页:http://iot.jiangnan.edu.cn/info/1059/1532.htm(学校导师主页)
https://scholar.google.com/citations?user=5IST34sAAAAJ&hl=zh-CN&oi=sra(Google学术主页)
2、文章:DenseFuse: A Fusion Approach to Infrared and Visible Images(点击下载文章)【深度学习】
Cite as:
H. Li, X. J. Wu, DenseFuse: A Fusion Approach to Infrared and Visible Images, IEEE Trans. Image Process.(Early Access), pp. 1-1, 2018.
Paper:https://arxiv.org/abs/1804.08361
(DOI:10.1109/TIP.2018.2887342)
Code:https://github.com/hli1221/imagefusion_densefuse
另一个实现:https://github.com/srinu007/MultiModelImageFusion(代码包里也包含有图像融合MATLAB客观评价指标函数)
作者:李辉,江南大学博士。(导师:吴小俊)
3、文章:Infrared and Visible Image Fusion using a Deep Learning Framework(点击下载文章)【深度学习】
Cite as:
Li H, Wu X J, Kittler J. Infrared and Visible Image Fusion using a Deep Learning Framework[C]//Pattern Recognition (ICPR), 2018 24rd International Conference on. IEEE, 2018: 2705 - 2710.
Paper:https://arxiv.org/pdf/1804.06992
(DOI: 10.1109/ICPR.2018.8546006)
Code:https://github.com/hli1221/imagefusion_deeplearning
作者:李辉,江南大学博士。(导师:吴小俊)
4、文章:Infrared and visible image fusion using Latent Low-Rank Representation 【LRR用于图像融合】
Cite as:
Li H, Wu X J. Infrared and visible image fusion using Latent Low-Rank Representation[J]. 2018.
Paper:https://arxiv.org/abs/1804.08992
Code:https://github.com/exceptionLi/imagefusion_Infrared_visible_latlrr
作者:李辉,江南大学博士。(导师:吴小俊)
5、文章:Infrared and visible image fusion using a novel deep decomposition method(点击下载文章)【深度学习】
Paper:https://arxiv.org/abs/1811.02291
Code:https://github.com/hli1221/imagefusion_deepdecomposition
作者:李辉,江南大学博士。(导师:吴小俊)
6、文章:Infrared and visual image fusion method based on discrete cosine transform and local spatial frequency in discrete stationary wavelet transform domain
Paper:https://doi.org/10.1016/j.infrared.2017.10.004
Code:https://github.com/jinxinhuo/SWT_DCT_SF-for-image-fusion
https://ww2.mathworks.cn/matlabcentral/fileexchange/68674-infrared-and-visual-image-fusion-method-based-on-swt_dct_sf?s_tid=FX_rc2_behav
作者:金鑫——2013级云南大学博士。
7、文章:Infrared-Visible Image Fusion Based on Convolutional Neural Networks (CNN)【深度学习】
Paper:https://link.springer.com/chapter/10.1007%2F978-3-030-02698-1_26
https://doi.org/10.1007/978-3-030-02698-1_26
作者:Xianyi Ren, Fanyang Meng, Tao Hu, Zhijun Liu, Changwei Wang,Shenzhen Institute of Information Technology
8、文章:Multi-scale decomposition based fusion of infrared and visible image via total variation and saliency analysis
Paper:https://doi.org/10.1016/j.infrared.2018.06.002
作者:Siwen Quan (权思文)
主页:https://sites.google.com/view/siwenquanshomepage
https://scholar.google.com/citations?user=9CS008EAAAAJ&hl=zh-CN&oi=sra(Google学术主页)
9、文章:Visible and infrared image fusion using DTCWT and adaptive combined clustered dictionary
Paper:https://doi.org/10.1016/j.infrared.2018.08.013
10、文章:Infrared and visible image fusion based on convolutional neural network model and saliency detection via hybrid l0-l1 layer decomposition 【CNN】【深度学习】【显著性检测】
Paper:https://doi.org/10.1117/1.JEI.27.6.063036
作者:
周冬明——云南大学教授,博导
聂仁灿——云南大学信息学院副教授,博士,硕士生导师
【2017】
1、文章:Fusion of visible and infrared images using global entropy and gradient constrained regularization
Paper:https://doi.org/10.1016/j.infrared.2017.01.012
作者:赵巨峰,杭州电子科技大学副教授,硕导。
个人主页:http://mypage.hdu.edu.cn/zhaojufeng/0.html
2、文章:A survey of infrared and visual image fusion methods 【综述文章】
Paper:https://doi.org/10.1016/j.infrared.2017.07.010
作者:
金鑫——2013级云南大学博士。
姚邵文——云南大学软件学院院长
周冬明——云南大学教授,博导
聂仁灿——云南大学信息学院副教授,博士,硕士生导师
贺康建——2014级云南大学博士
3、文章:Infrared and Visual Image Fusion through Infrared Feature Extraction and Visual Information Preservation
Cite as:
Yu Zhang, Lijia Zhang, Xiangzhi Bai and Li Zhang. Infrared and Visual Image Fusion through Infrared Feature Extraction and Visual Information Preservation, Infrared Physics & Technology 83 (2017) 227-237.
Paper:http://dx.doi.org/10.1016/j.infrared.2017.05.007(DOI:10.1016/j.infrared.2017.05.007)
Code:https://github.com/uzeful/Infrared-and-Visual-Image-Fusion-via-Infrared-Feature-Extraction-and-Visual-Information-Preservation
作者:张余,清华大学博士。
主页:
https://sites.google.com/site/uze1989/
https://uzeful.github.io/
GitHub地址:https://github.com/uzeful
4、文章:Visible and NIR image fusion using weight-map-guided Laplacian–Gaussian pyramid for improving scene visibility
Cite as:
Vanmali A V , Gadre V M . Visible and NIR image fusion using weight-map-guided Laplacian–Gaussian pyramid for improving scene visibility[J]. Sādhanā, 2017, 42(7):1063-1082.
Paper: (DOI:10.1007/s12046-017-0673-1)
Code:https://drive.google.com/file/d/0B-hGkOHjv3gzVnU5Slg2YWZRWVE/view?usp=sharing
5、文章:Infrared and visible image fusion based on visual saliency map and weighted least square optimization
Cite as:
Ma J, Zhou Z, Wang B, et al. Infrared and visible image fusion based on visual saliency map and weighted least square optimization[J]. Infrared Physics & Technology, 2017, 82:8-17.
Paper:https://doi.org/10.1016/j.infrared.2017.02.005(DOI:10.1016/j.infrared.2017.02.005)
Code:https://github.com/JinleiMa/Image-fusion-with-VSM-and-WLS
作者:马金磊,北京理工大学。
GitHub地址:https://github.com/JinleiMa?utf8=✓
6、文章:Infrared and visible image fusion method based on saliency detection in sparse domain
Cite as:
Liu C H , Qi Y , Ding W R . Infrared and visible image fusion method based on saliency detection in sparse domain[J]. Infrared Physics & Technology, 2017:S1350449516307150.
Paper:https://doi.org/10.1016/j.infrared.2017.04.018(DOI:10.1016/j.infrared.2017.04.018)
7、文章:Infrared and visible image fusion with convolutional neural networks 【深度学习】【CNN】
Cite as:
Yu Liu, Xun Chen, Juan Cheng, Hu Peng, Zengfu Wang,“Infrared and visible image fusion with convolutional neural networks”, International Journal of Wavelets,Multiresolution and Information Processing, vol. 16, no. 3, 1850018: 1-20, 2018.
Paper:https://www.worldscientific.com/doi/abs/10.1142/S0219691318500182
https://www.researchgate.net/publication/321799375_Infrared_and_visible_image_fusion_with_convolutional_neural_networks
(DOI:10.1142/S0219691318500182)
Code:http://www.escience.cn/people/liuyu1/Codes.html(刘羽)
作者:
刘羽
陈勋,教授、博导
http://staff.ustc.edu.cn/~xunchen/
https://scholar.google.com/citations?user=aBnUWyQAAAAJ&hl=zh-CN&oi=sra(Google学术主页)
成娟
http://www.escience.cn/people/chengjuanhfut/index.html
https://scholar.google.com/citations?user=fMOOhH8AAAAJ&hl=zh-CN&oi=sra(Google学术主页)
8、文章:Infrared and visible image fusion based on total variation and augmented Lagrangian
Paper:https://doi.org/10.1364/JOSAA.34.001961
作者:HANQI GUO, YONG MA(马泳), XIAOGUANG MEI(梅晓光), JIAYI MA(马佳义),武汉大学。
9、文章:Fusion of infrared-visible images using improved multi-scale top-hat transform and suitable fusion rules
Paper:https://doi.org/10.1016/j.infrared.2017.01.013
10、Fusion of infrared and visible images based on nonsubsampled contourlet transform and sparse K-SVD dictionary learning
Paper:(DOI:10.1016/j.infrared.2017.01.026)
作者:
Jiajun Cai,武汉大学
https://c.glgoo.top/citations?user=1jAmUp0AAAAJ&hl=zh-CN&oi=sra
【2016】
1、文章:Infrared and visible image fusion via gradient transfer and total variation minimization(点击下载文章)
Cite as:
Jiayi Ma, Chen Chen, Chang Li, and Jun Huang. Infrared and visible image fusion via gradient transfer and total variation minimization, Information Fusion, 31, pp. 100-109, Sept. 2016.
Paper:https://doi.org/10.1016/j.inffus.2016.02.001
Code:https://github.com/jiayi-ma/GTF
(代码包里也提供了论文中用作对比实验的其他八种算法的代码,以及图像融合MATLAB客观评价指标函数)
作者:马佳义,武汉大学。
2、文章:Multi-window visual saliency extraction for fusion of visible and infrared images
Cite as:
Zhao J , Gao X , Chen Y , et al. Multi-window visual saliency extraction for fusion of visible and infrared images[J]. Infrared Physics & Technology, 2016, 76:295-302.
Paper:https://doi.org/10.1016/j.infrared.2016.01.020
作者:赵巨峰,杭州电子科技大学副教授,硕导。
个人主页:http://mypage.hdu.edu.cn/zhaojufeng/0.html
3、文章:Two-scale image fusion of visible and infrared images using saliency detection
Cite as:
Bavirisetti D P , Dhuli R . Two-scale image fusion of visible and infrared images using saliency detection[J]. Infrared Physics & Technology, 2016, 76:52-64.
Paper:https://doi.org/10.1016/j.infrared.2016.01.009
Code:https://www.mathworks.com/matlabcentral/fileexchange/63571-two-scale-image-fusion-of-visible-and-infrared-images-using-saliency-detection
作者:Durga Prasad Bavirisetti
主页:https://sites.google.com/view/durgaprasadbavirisetti/home
(主页中右上角Datasets中提供了各种图像融合数据集。)
https://scholar.google.com/citations?user=hc0VdQQAAAAJ&hl=zh-CN&oi=sra(Google学术主页)
4、文章:Fusion of Infrared and Visible Sensor Images Based on Anisotropic Diffusion and Karhunen-Loeve Transform
Paper:https://ieeexplore.ieee.org/document/7264981
(DOI: 10.1109/JSEN.2015.2478655)
Code:https://ww2.mathworks.cn/matlabcentral/fileexchange/63591-fusion-of-infrared-and-visible-sensor-images-based-on-anisotropic-diffusion-and-kl-transform?s_tid=FX_rc2_behav
作者:Durga Prasad Bavirisetti
主页:https://sites.google.com/view/durgaprasadbavirisetti/home
(主页中右上角Datasets中提供了各种图像融合数据集。)
https://scholar.google.com/citations?user=hc0VdQQAAAAJ&hl=zh-CN&oi=sra(Google学术主页)
5、文章:Perceptual fusion of infrared and visible images through a hybrid multi-scale decomposition with Gaussian and bilateral filters 【HMSD】
Cite as:
Zhiqiang Zhou et al. "Perceptual fusion of infrared and visible images through a hybrid multi-scale decomposition with Gaussian and bilateral filters", Information Fusion, 30, 2016
Paper:https://doi.org/10.1016/j.inffus.2015.11.003
Code:https://github.com/bitzhouzq/Hybrid-MSD-Fusion
或:https://www.researchgate.net/publication/304246314
作者:周志强,北京理工大学自动化学院,副教授
主页:http://ac.bit.edu.cn/szdw/jsdw/mssbyznxtyjs_20150206131517284801/20150206115445413049_20150206131517284801/index.htm
GitHub地址:https://github.com/bitzhouzq
6、文章:Fusion of infrared and visible images for night-vision context enhancement
Paper:https://doi.org/10.1364/AO.55.006480
Code:https://github.com/bitzhouzq/Context-Enhance-via-Fusion
作者:周志强,北京理工大学自动化学院,副教授
主页:http://ac.bit.edu.cn/szdw/jsdw/mssbyznxtyjs_20150206131517284801/20150206115445413049_20150206131517284801/index.htm
GitHub地址:https://github.com/bitzhouzq
【2015】
1、文章:Attention-based hierarchical fusion of visible and infrared images
Paper:https://doi.org/10.1016/j.ijleo.2015.08.120
作者:
陈艳菲,副教授,硕士生导师。
主页:http://eie.wit.edu.cn/info/1067/1028.htm(教师主页)
桑农,华中科技大学自动化学院教授,博士生导师
主页:http://auto.hust.edu.cn/info/1154/3414.htm(教师主页)
【2014】
1、文章:Fusion method for infrared and visible images by using non-negative sparse representation 【NNSR】
Cite as:
Wang J , Peng J , Feng X , et al. Fusion method for infrared and visible images by using non-negative sparse representation[J]. Infrared Physics & Technology, 2014, 67:477-489.
Paper:https://doi.org/10.1016/j.infrared.2014.09.019
作者:西北工业大学 王珺,彭进业,冯晓毅,何贵青
2、文章:The infrared and visible image fusion algorithm based on target separation and sparse representation
Cite as:
Lu X , Zhang B , Zhao Y , et al. The infrared and visible image fusion algorithm based on target separation and sparse representation[J]. Infrared Physics & Technology, 2014, 67:397-407.
Paper:https://doi.org/10.1016/j.infrared.2014.09.007
作者:吕晓琪,张宝华,赵瑛,内蒙古科技大学
吕晓琪,内蒙古科技大学信息工程学院教授,博导。
主页:http://graduate.imust.cn/info/1063/2860.htm
张宝华,内蒙古科技大学信息工程学院副教授,硕导。
主页:http://graduate.imust.cn/info/1063/2331.htm
赵瑛,内蒙古科技大学信息工程学院讲师,硕导。
主页:http://graduate.imust.cn/info/1063/2409.htm
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PS:早期的代码中用到的某些函数可能随着MATLAB版本的升级更新,会被删掉,导致运行错误。解决办法就是在自己电脑上保留着低版本的MATLAB。然后用到哪个函数,复制出来粘贴到代码文件夹里。
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链接https://blog.csdn.net/shitao99/article/details/85214279