标题
Far-field super-resolution ghost imaging with a deep neural network constraint
作者
关键词
-
出版物
Light-Science & Applications
Volume 11, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2022-01-01
DOI
10.1038/s41377-021-00680-w
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Super-resolution single-photon imaging at 82 kilometers
- (2020) Zheng-Ping Li et al. OPTICS EXPRESS
- Diffraction tomography with a deep image prior
- (2020) Kevin C. Zhou et al. OPTICS EXPRESS
- Endo-microscopy beyond the Abbe and Nyquist limits
- (2020) Lyubov V. Amitonova et al. Light-Science & Applications
- Phase imaging with an untrained neural network
- (2020) Fei Wang et al. Light-Science & Applications
- Deep phase decoder: self-calibrating phase microscopy with an untrained deep neural network
- (2020) Emrah Bostan et al. Optica
- On the interplay between physical and content priors in deep learning for computational imaging
- (2020) Mo Deng et al. OPTICS EXPRESS
- Single-pixel imaging 12 years on: a review
- (2020) Graham M. Gibson et al. OPTICS EXPRESS
- On the use of deep learning for computational imaging
- (2019) George Barbastathis et al. Optica
- Learning from simulation: An end-to-end deep-learning approach for computational ghost imaging
- (2019) Fei Wang et al. OPTICS EXPRESS
- Regularization by Architecture: A Deep Prior Approach for Inverse Problems
- (2019) Sören Dittmer et al. JOURNAL OF MATHEMATICAL IMAGING AND VISION
- Single-frame wide-field nanoscopy based on ghost imaging via sparsity constraints
- (2019) Wenwen Li et al. Optica
- Deep learning for real-time single-pixel video
- (2018) Catherine F. Higham et al. Scientific Reports
- Airborne Near Infrared Three-Dimensional Ghost Imaging LiDAR via Sparsity Constraint
- (2018) Chenglong Wang et al. Remote Sensing
- A Review of Ghost Imaging via Sparsity Constraints
- (2018) Shensheng Han et al. Applied Sciences-Basel
- Principles and prospects for single-pixel imaging
- (2018) Matthew P. Edgar et al. Nature Photonics
- Experimental comparison of single-pixel imaging algorithms
- (2017) Liheng Bian et al. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION
- Ghost Imaging Using Optical Correlations
- (2017) Paul-Antoine Moreau et al. Laser & Photonics Reviews
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Gerchberg-Saxton-like ghost imaging
- (2015) Wei Wang et al. OPTICS EXPRESS
- Ghost imaging lidar via sparsity constraints
- (2012) Chengqiang Zhao et al. APPLIED PHYSICS LETTERS
- Experimental investigation of the quality of lensless super-resolution ghost imaging via sparsity constraints
- (2012) Wenlin Gong et al. PHYSICS LETTERS A
- Differential Ghost Imaging
- (2010) F. Ferri et al. PHYSICAL REVIEW LETTERS
- Ghost imaging: from quantum to classical to computational
- (2010) Baris I. Erkmen et al. Advances in Optics and Photonics
- Compressive ghost imaging
- (2009) Ori Katz et al. APPLIED PHYSICS LETTERS
- Compressive Holography
- (2009) David J. Brady et al. OPTICS EXPRESS
- Improving resolution by the second-order correlation of light fields
- (2009) Pengli Zhang et al. OPTICS LETTERS
- A method to improve the visibility of ghost images obtained by thermal light
- (2009) Wenlin Gong et al. PHYSICS LETTERS A
- Single-pixel imaging via compressive sampling
- (2008) Marco F. Duarte et al. IEEE SIGNAL PROCESSING MAGAZINE
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