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Hyperspectral imaging plays a pivotal role in a wide range of applications, like remote sensing, medicine, and cytology.
Classification of hyperspectral remote sensing images with support vector machines
Farid Melgani and Lorenzo Bruzzone · 2004
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Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
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A new twist: two-step iterative shrinkage/thresholding algorithms for image restoration
José M Bioucas-Dias and Mário AT Figueiredo · 2007
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Microscopic imaging techniques for drug discovery
Andrew Bullen · 2008
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Single disperser design for coded aperture snapshot spectral imaging
Ashwin Wagadarikar, Renu John, Rebecca Willett, and David Brady · 2008
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Detection and analysis of the intestinal ischemia using visible and invisible hyperspectral imaging
Hamed Akbari, Yukio Kosugi, Kazuyuki Kojima, and Naofumi Tanaka · 2010
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Multiframe image estimation for coded aperture snapshot spectral imagers
David Kittle, Kerkil Choi, Ashwin Wagadarikar, and David J Brady · 2010
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Generalized assorted pixel camera: postcapture control of resolution, dynamic range, and spectrum
Fumihito Yasuma, Tomoo Mitsunaga, Daisuke Iso, and Shree K Nayar · 2010
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Development of a digital-micromirror-device-based multishot snapshot spectral imaging system
Yuehao Wu, Iftekhar O Mirza, Gonzalo R Arce, and Dennis W Prather · 2011
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Compressed sensing: theory and applications
Yonina C Eldar and Gitta Kutyniok · 2012
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Compressive coded aperture spectral imaging: an introduction
Gonzalo R Arce, David J Brady, Lawrence Carin, Henry Arguello, and David S Kittle · 2013
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Spatial-spectral encoded compressive hyperspectral imaging
Xing Lin, Yebin Liu, Jiamin Wu, and Qionghai Dai · 2014
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Dual-coded compressive hyperspectral imaging
Xing Lin, Gordon Wetzstein, Yebin Liu, and Qionghai Dai · 2014
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Compressive sensing by learning a gaussian mixture model from measurements
Jianbo Yang, Xuejun Liao, Xin Yuan, Patrick Llull, David J Brady, Guillermo Sapiro, and Lawrence Carin · 2014
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Video compressive sensing using gaussian mixture models
Jianbo Yang, Xin Yuan, Xuejun Liao, Patrick Llull, David J Brady, Guillermo Sapiro, and Lawrence Carin · 2014
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Image compressive sensing recovery using adaptively learned sparsifying basis via
Jian Zhang, Chen Zhao, Debin Zhao, and Wen Gao · 2014
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Adam: a method for stochastic optimization
Kingma DP and Jimmy Ba · 2015
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Spectral evidence for hydrated salts in recurring slope lineae on mars
Lujendra Ojha, Mary Beth Wilhelm, Scott L Murchie, Alfred S McEwen, James J Wray, Jennifer Hanley, Marion Massé, and Matt Chojnacki · 2015
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Compressive hyperspectral imaging via approximate message passing
Jin Tan, Yanting Ma, Hoover Rueda, Dror Baron, and Gonzalo R Arce · 2015
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Dual-camera design for coded aperture snapshot spectral imaging
Lizhi Wang, Zhiwei Xiong, Dahua Gao, Guangming Shi, and Feng Wu · 2015
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Sub-pixel mapping based on conditional random fields for hyperspectral remote sensing imagery
Ji Zhao, Yanfei Zhong, Yunyun Wu, Liangpei Zhang, and Hong Shu · 2015
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Computational snapshot multispectral cameras: toward dynamic capture of the spectral world
Xun Cao, Tao Yue, Xing Lin, Stephen Lin, Xin Yuan, Qionghai Dai, Lawrence Carin, and David J Brady · 2016
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Adaptive nonlocal sparse representation for dual-camera compressive hyperspectral imaging
Lizhi Wang, Zhiwei Xiong, Guangming Shi, Feng Wu, and Wenjun Zeng · 2016
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Generalized alternating projection based total variation minimization for compressive sensing
Xin Yuan · 2016
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Video compressive sensing reconstruction via reweighted residual sparsity
Chen Zhao, Siwei Ma, Jian Zhang, Ruiqin Xiong, and Wen Gao · 2016
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High-quality hyperspectral reconstruction using a spectral prior
Inchang Choi, MH Kim, D Gutierrez, DS Jeon, and G Nam · 2017
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Rank minimization for snapshot compressive imaging
Yang Liu, Xin Yuan, Jinli Suo, David J Brady, and Qionghai Dai · 2018
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Ista-net: interpretable optimization-inspired deep network for image compressive sensing
Jian Zhang and Bernard Ghanem · 2018
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Spectral-spatial feature extraction for hyperspectral anomaly detection
Jie Lei, Weiying Xie, Jian Yang, Yunsong Li, and Chein-I Chang · 2019
Swin transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
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Deep unfolding network for spatiospectral image super-resolution
Qing Ma, Junjun Jiang, Xianming Liu, and Jiayi Ma · 2021
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Self-supervised neural networks for spectral snapshot compressive imaging
Ziyi Meng, Zhenming Yu, Kun Xu, and Xin Yuan · 2021
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A new backbone for hyperspectral image reconstruction
Jiamian Wang, Yulun Zhang, Xin Yuan, Yun Fu, and Zhiqiang Tao · 2021
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Dense deep unfolding network with 3d-cnn prior for snapshot compressive imaging
Zhuoyuan Wt, Jian Zhangt, and Chong Mou · 2021
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Deep tensor admm-net for snapshot compressive imaging
Jiawei Ma, Xiao-Yang Liu, Zheng Shou, and Xin Yuan · 2019
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λ \lambda -net: reconstruct hyperspectral images from a snapshot measurement
Xin Miao, Xin Yuan, Yunchen Pu, and Vassilis Athitsos · 2019
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Hyperspectral image reconstruction using a deep spatial-spectral prior
Lizhi Wang, Chen Sun, Ying Fu, Min H Kim, and Hua Huang · 2019
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Medical hyperspectral image classification based on end-to-end fusion deep neural network
Xueling Wei, Wei Li, Mengmeng Zhang, and Qingli Li · 2019
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Structure tensor and guided filtering-based algorithm for hyperspectral anomaly detection
Weiying Xie, Tao Jiang, Yunsong Li, Xiuping Jia, and Jie Lei · 2019
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Hyperspectral image reconstruction using deep external and internal learning
Tao Zhang, Ying Fu, Lizhi Wang, and Hua Huang · 2019
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Snapshot compressive imaging: theory, algorithms, and applications
Xin Yuan, David J Brady, and Aggelos K Katsaggelos · 2021
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Learning tensor low-rank prior for hyperspectral image reconstruction
Shipeng Zhang, Lizhi Wang, Lei Zhang, and Hua Huang · 2021
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Deep plug-and-play priors for spectral snapshot compressive imaging
Siming Zheng, Yang Liu, Ziyi Meng, Mu Qiao, Zhishen Tong, Xiaoyu Yang, Shensheng Han, and Xin Yuan · 2021
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Coarse-to-fine sparse transformer for hyperspectral image reconstruction
Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, and Luc Van Gool · 2022
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Mask-guided spectral-wise transformer for efficient hyperspectral image reconstruction
Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, and Luc Van Gool · 2022
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Mst++: Multi-stage spectral-wise transformer for efficient spectral reconstruction
Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Radu Timofte, and Luc Van Gool · 2022
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Degradation-aware unfolding half-shuffle transformer for spectral compressive imaging
Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Henghui Ding, Yulun Zhang, Radu Timofte, and Luc Van Gool · 2022
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Content-aware scalable deep compressed sensing
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Hdnet: High-resolution dual-domain learning for spectral compressive imaging
Xiaowan Hu, Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, and Luc Van Gool · 2022
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D3c2-net: Dual-domain deep convolutional coding network for compressive sensing
Weiqi Li, Bin Chen, and Jian Zhang · 2022
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Deep generalized unfolding networks for image restoration
Chong Mou, Qian Wang, and Jian Zhang · 2022
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Gan prior based null-space learning for consistent super-resolution
Yinhuai Wang, Yujie Hu, Jiwen Yu, and Jian Zhang · 2022
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Zero-shot image restoration using denoising diffusion null-space model
Yinhuai Wang, Jiwen Yu, and Jian Zhang · 2022
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Practical blind denoising via swin-conv-unet and data synthesis
Kai Zhang, Yawei Li, Jingyun Liang, Jiezhang Cao, Yulun Zhang, Hao Tang, Radu Timofte, and Luc Van Gool · 2022
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Herosnet: Hyperspectral explicable reconstruction and optimal sampling deep network for snapshot compressive imaging
Xuanyu Zhang, Yongbing Zhang, Ruiqin Xiong, Qilin Sun, and Jian Zhang · 2022
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Recurrent neural networks for snapshot compressive imaging
Ziheng Cheng, Bo Chen, Ruiying Lu, Zhengjue Wang, Hao Zhang, Ziyi Meng, and Xin Yuan · 2023
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Dear-gan: Degradation-aware face restoration with gan prior
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Physics-inspired compressive sensing: Beyond deep unrolling
Jian Zhang, Bin Chen, Ruiqin Xiong, and Yongbing Zhang · 2023
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