| Image quality recovery in binary ghost imaging by adding random noise J Li, D Yang, B Luo, G Wu, L Yin, H Guo Optics Letters 42 (8), 1640-1643, 2017 | 37 | 2017 |
| Negative exponential behavior of image mutual information for pseudo-thermal light ghost imaging: observation, modeling, and verification J Li, B Luo, D Yang, L Yin, G Wu, H Guo Science Bulletin 62 (10), 717-723, 2017 | 31 | 2017 |
| Compressive ghost imaging of the moving object using the low-order moments D Yang, C Chang, G Wu, B Luo, L Yin Applied Sciences 10 (21), 7941, 2020 | 30 | 2020 |
| Single multimode fiber imaging based on low-rank recovery D Yang, M Hao, G Wu, C Chang, B Luo, L Yin Optics and Lasers in Engineering 149, 106827, 2022 | 22 | 2022 |
| Optimizations of canny edge detection in ghost imaging G Wu, D Yang, C Chang, L Yin, B Luo, H Guo Journal of the Korean Physical Society 75, 223-228, 2019 | 14 | 2019 |
| Image recovery of ghost imaging with sparse spatial frequencies D Yang, G Wu, J Li, C Chang, B Luo, H Lin, S Sun, Y Xu, L Yin Optics Letters 45 (19), 5356-5359, 2020 | 10 | 2020 |
| Modeling the behavior of signal-to-noise ratio for repeated snapshot imaging J Li, B Luo, D Yang, G Wu, L Yin, H Guo arXiv preprint arXiv:1603.00371, 2016 | 3 | 2016 |
| Compressive endoscopic imaging with complementary light modulation W Gao, H Mo, G Wu, D Yang, L Yin Applied Optics 60 (27), 8221-8225, 2021 | 2 | 2021 |
| Reducing motion blur in ghost imaging via the hessian matrix C Chang, D Yang, G Wu, B Luo, L Yin Applied Sciences 11 (1), 323, 2020 | 2 | 2020 |
| Few but alike: how correspondence ghost imaging works Z Han, J Li, D Yang, Q Peng, H Mo, G Wu Computational Optical Sensing and Imaging, JW2A. 12, 2019 | 2 | 2019 |
| Binary sampling ghost imaging: Add random noise to fight quantization caused image quality decline J Li, D Yang, B Luo, G Wu, L Yin, H Guo arXiv preprint arXiv:1702.08687, 2017 | 2 | 2017 |
| Source coding model for repeated snapshot imaging J Li, B Luo, D Yang, L Yin, H Guo arXiv preprint arXiv:1604.02515, 2016 | 2 | 2016 |
| Clustering-based CLEAN algorithm in ghost imaging with sparse spatial frequencies C Chang, G Wu, D Yang, L Yin, B Luo Optics Express 29 (23), 38841-38848, 2021 | 1 | 2021 |
| Sensitivity analysis of correspondence ghost imaging G Wu, H Mo, Z Han, J Li, D Yang, Q Peng Laser Physics Letters 17 (11), 115205, 2020 | 1 | 2020 |
| Distorted object recognition and identification based on Krawtchouk moments Y Meng, J Li, D Yang, C Chang, G Wu Frontiers in Optics, JW4A. 130, 2019 | 1 | 2019 |
| Reducing motion blur in ghost imaging with Hessian enhancement filter C Chang, D Yang, J Li, G Wu, B Luo, L Yin, H Guo Propagation Through and Characterization of Atmospheric and Oceanic …, 2019 | 1 | 2019 |
| Computational ghost imaging under Gaussian distributed sparse speckles Y Yue, B Luo, J Li, D Yang, G Wu, L Yin, H Guo Frontiers in Optics, JTu2A. 8, 2017 | 1 | 2017 |
| Group-based image recovery in ghost imaging C Wang, G Wu, D Yang, L Yin International Conference on Signal Processing and Communication Technology …, 2022 | | 2022 |
| Multimode Fiber Differential Imaging Based on Singular Value Decomposition W Gao, H Mo, G Wu, D Yang, L Yin Laser Science, JTh5A. 53, 2021 | | 2021 |
| Circulated Modulation Enhancement of Ghost Imaging based on Group-based Sparse Representation D Yang, G Wu, C Chang, B Luo, L Yin Frontiers in Optics, FW5A. 5, 2020 | | 2020 |
