5.5.9.1 Snapshot Compressive Sensing

Chapter Contents (Back)
Compressive Sensing. Snapshot Compressive Sensing.

Liu, Y.[Yang], Yuan, X.[Xin], Suo, J.L.[Jin-Li], Brady, D.J.[David J.], Da, Q.H.[Qiong-Hai],
Rank Minimization for Snapshot Compressive Imaging,
PAMI(41), No. 12, December 2019, pp. 2990-3006.
IEEE DOI 1911
Image coding, Image reconstruction, Minimization, Hyperspectral imaging, Sensors, Compressive sensing, coded aperture compressive temporal imaging (CACTI) BibRef

Lu, R.Y.[Rui-Ying], Chen, B.[Bo], Liu, G.L.[Guan-Liang], Cheng, Z.H.[Zi-Heng], Qiao, M.[Mu], Yuan, X.[Xin],
Dual-View Snapshot Compressive Imaging via Optical Flow Aided Recurrent Neural Network,
IJCV(129), No. 12, December 2021, pp. 3279-3298.
Springer DOI 2111
capture videos from two field-of-views. BibRef

Wu, Z.L.[Zong-Liang], Yang, C.S.[Cheng-Shuai], Su, X.F.[Xiong-Fei], Yuan, X.[Xin],
Adaptive Deep PnP Algorithm for Video Snapshot Compressive Imaging,
IJCV(131), No. 7, July 2023, pp. 1662-1679.
Springer DOI 2307
BibRef

Wang, P.[Ping], Wang, L.[Lishun], Yuan, X.[Xin],
Deep Optics for Video Snapshot Compressive Imaging,
ICCV23(10612-10622)
IEEE DOI Code:
WWW Link. 2401
BibRef

Yuan, X., Brady, D.J., Katsaggelos, A.K.,
Snapshot Compressive Imaging: Theory, Algorithms, and Applications,
SPMag(38), No. 2, March 2021, pp. 65-88.
IEEE DOI 2103
Signal processing algorithms, Detectors, Tomography, Signal processing, Image reconstruction BibRef

Wang, Z.J.[Zheng-Jue], Zhang, H.[Hao], Cheng, Z.H.[Zi-Heng], Chen, B.[Bo], Yuan, X.[Xin],
MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing,
CVPR21(2083-2092)
IEEE DOI 2111
Training, Deep learning, Modulation, Imaging, Graphics processing units, Detectors, Data models BibRef

Yuan, X.[Xin], Liu, Y.[Yang], Suo, J.L.[Jin-Li], Durand, F.[Frédo], Dai, Q.H.[Qiong-Hai],
Plug-and-Play Algorithms for Video Snapshot Compressive Imaging,
PAMI(44), No. 10, October 2022, pp. 7093-7111.
IEEE DOI 2209
BibRef
Earlier: A1, A2, A3, A5, Only:
Plug-and-Play Algorithms for Large-Scale Snapshot Compressive Imaging,
CVPR20(1444-1454)
IEEE DOI 2008
Image reconstruction, Image color analysis, Sensors, Image coding, Gray-scale, Cameras, Noise reduction, Compressive sensing, plug-and-play (PnP) algorithms. Videos, Imaging, Convergence, HardwareImage coding BibRef

Cheng, Z.H.[Zi-Heng], Chen, B.[Bo], Liu, G.L.[Guan-Liang], Zhang, H.[Hao], Lu, R.Y.[Rui-Ying], Wang, Z.J.[Zheng-Jue], Yuan, X.[Xin],
Memory-Efficient Network for Large-scale Video Compressive Sensing,
CVPR21(16241-16250)
IEEE DOI 2111
Training, Deep learning, Memory management, Reconstruction algorithms, Time measurement, Data models BibRef

Meng, Z.Y.[Zi-Yi], Yuan, X.[Xin], Jalali, S.[Shirin],
Deep Unfolding for Snapshot Compressive Imaging,
IJCV(131), No. 1, January 2023, pp. 2933-2958.
Springer DOI 2310
BibRef

Chen, Y.R.[Yu-Rong], Wang, Y.N.[Yao-Nan], Zhang, H.[Hui],
Prior Image Guided Snapshot Compressive Spectral Imaging,
PAMI(45), No. 9, September 2023, pp. 11096-11107.
IEEE DOI 2309
BibRef

Zhao, Y.P.[Yin-Ping], Zhang, J.C.[Jian-Cheng], Chen, Y.Y.[Yong-Yong], Wang, Z.[Zhen], Li, X.L.[Xue-Long],
RCUMP: Residual Completion Unrolling With Mixed Priors for Snapshot Compressive Imaging,
IP(33), 2024, pp. 2347-2360.
IEEE DOI 2404
Imaging, Image coding, Iterative methods, Optimization, Image reconstruction, Hyperspectral imaging, deep unrolling-based methods BibRef

Cao, M.[Miao], Wang, L.S.[Li-Shun], Zhu, M.Y.[Ming-Yu], Yuan, X.[Xin],
Hybrid CNN-Transformer Architecture for Efficient Large-Scale Video Snapshot Compressive Imaging,
IJCV(132), No. 10, October 2024, pp. 4521-4540.
Springer DOI 2410
BibRef
Earlier: A2, A1, A4, Only:
EfficientSCI: Densely Connected Network with Space-time Factorization for Large-scale Video Snapshot Compressive Imaging,
CVPR23(18477-18486)
IEEE DOI 2309
BibRef

Wang, L.S.[Li-Shun], Cao, M.[Miao], Zhong, Y.[Yong], Yuan, X.[Xin],
Spatial-Temporal Transformer for Video Snapshot Compressive Imaging,
PAMI(45), No. 7, July 2023, pp. 9072-9089.
IEEE DOI 2306
Transformers, Image reconstruction, Image color analysis, Cameras, Task analysis, Gray-scale, Correlation, Attention, transformer BibRef

Wang, P.[Ping], Zhang, Y.[Yulun], Wang, L.[Lishun], Yuan, X.[Xin],
Hierarchical Separable Video Transformer for Snapshot Compressive Imaging,
ECCV24(LXXXI: 104-122).
Springer DOI 2412
BibRef

Chen, Y.[Yong], Lai, W.Z.[Wen-Zhen], He, W.[Wei], Zhao, X.L.[Xi-Le], Zeng, J.S.[Jin-Shan],
Hyperspectral Compressive Snapshot Reconstruction via Coupled Low-Rank Subspace Representation and Self-Supervised Deep Network,
IP(33), 2024, pp. 926-941.
IEEE DOI Code:
WWW Link. 2402
Image reconstruction, Optimization, Imaging, Learning systems, Iterative algorithms, Hyperspectral imaging, Training data, self-supervised deep network BibRef

Zhang, X.Y.[Xuan-Yu], Chen, B.[Bin], Zou, W.Z.[Wen-Zhen], Liu, S.[Shuai], Zhang, Y.B.[Yong-Bing], Xiong, R.Q.[Rui-Qin], Zhang, J.[Jian],
Progressive Content-Aware Coded Hyperspectral Snapshot Compressive Imaging,
CirSysVideo(34), No. 11, November 2024, pp. 10817-10830.
IEEE DOI Code:
WWW Link. 2412
Imaging, Apertures, Image reconstruction, Hyperspectral imaging, Lenses, Optimization, Relays, progressive content-aware sampling BibRef


Cao, M.[Miao], Wang, L.[Lishun], Wang, H.[Huan], Yuan, X.[Xin],
A Simple Low-bit Quantization Framework for Video Snapshot Compressive Imaging,
ECCV24(LII: 112-129).
Springer DOI 2412
BibRef

Lv, T.[Tao], Hu, L.[Lihao], Li, S.Q.[Shi-Qiao], Huang, C.L.[Cheng-Long], Cao, X.[Xun],
Efficient Snapshot Spectral Imaging: Calibration-free Parallel Structure with Aperture Diffraction Fusion,
ECCV24(LI: 93-110).
Springer DOI 2412
BibRef

Zeng, H.J.[Hai-Jin], Liu, Y.X.[Yu-Xi], Chen, Y.Y.[Yong-Yong], Liu, Y.[Youfa], Peng, C.[Chong], Su, J.[Jingyong],
SAH-SCI: Self-supervised Adapter for Efficient Hyperspectral Snapshot Compressive Imaging,
ECCV24(LXIV: 311-328).
Springer DOI 2412
BibRef

Zhang, J.C.[Jian-Cheng], Zeng, H.J.[Hai-Jin], Cao, J.[Jiezhang], Chen, Y.Y.[Yong-Yong], Yu, D.X.[Deng-Xiu], Zhao, Y.P.[Yin-Ping],
Dual Prior Unfolding for Snapshot Compressive Imaging,
CVPR24(25742-25752)
IEEE DOI Code:
WWW Link. 2410
Degradation, Image coding, Costs, Noise reduction, Imaging, Iterative methods, image restoration BibRef

Pan, Z.H.[Zheng-Hao], Zeng, H.J.[Hai-Jin], Cao, J.Z.[Jie-Zhang], Zhang, K.[Kai], Chen, Y.Y.[Yong-Yong],
DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model,
CVPR24(25297-25306)
IEEE DOI Code:
WWW Link. 2410
Image coding, Correlation, Noise reduction, Imaging, Diffusion models, Transformers, Iterative algorithms BibRef

Saideni, W.[Wael], Courreges, F.[Fabien], Helbert, D.[David], Cances, J.P.[Jean Pierre],
End-to-End Video Snapshot Compressive Imaging using Video Transformers,
IPTA22(1-6)
IEEE DOI 2206
Deep learning, Image coding, Memory management, Imaging, Streaming media, Reconstruction algorithms, Transformers, video compressive sensing BibRef

Jin, M.Y.[Meng-Ying], Wei, Z.H.[Zhi-Hui], Xiao, L.[Liang],
Learning Texture Enhancement Prior with Deep Unfolding Network for Snapshot Compressive Imaging,
ACCV22(III:357-373).
Springer DOI 2307
BibRef

Wu, Z.L.[Zong-Liang], Lu, R.Y.[Rui-Ying], Fu, Y.[Ying], Yuan, X.[Xin],
Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging,
ECCV24(XXXIII: 164-181).
Springer DOI 2412
BibRef

Yang, C.S.[Cheng-Shuai], Zhang, S.Y.[Shi-Yu], Yuan, X.[Xin],
Ensemble Learning Priors Driven Deep Unfolding for Scalable Video Snapshot Compressive Imaging,
ECCV22(XXIII:600-618).
Springer DOI 2211
BibRef

Wt, Z.Y.[Zhuo-Yuan], Zhangt, J.[Jian], Mou, C.[Chong],
Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Imaging,
ICCV21(4872-4881)
IEEE DOI 2203
Adaptation models, Correlation, Codes, Fuses, Computational modeling, Buildings, Low-level and physics-based vision, Optimization and learning methods BibRef

Kerviche, R.[Ronan], Zhu, N.[Nan], Ashok, A.[Amit],
Information optimal scalable compressive imager demonstrator,
ICIP14(2177-2179)
IEEE DOI 1502
System delivers high-resolution images from low resolution sensor with near real-time snapshots. BibRef

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Coded Aperture Compressive Sensing .


Last update:Mar 12, 2025 at 14:27:03