Article
Optics
Teng Jiang, Yanfeng Bai, Wei Tan, Xiaohui Zhu, Xianwei Huang, Suqin Nan, Xiquan Fu
Summary: Research on practical applications of ghost imaging lidar system, especially in longer sensing distance, has become urgent in recent years. In this paper, we have developed a ghost imaging lidar system that significantly improves the transmission distance of the collimated pseudo-thermal beam over long range. By adjusting the lens assembly, the system can also generate a wide field of view suitable for short-range imaging. Experimental analysis and verification of the changing tendency of illuminating field of view, energy density, and reconstructed images are presented. Some considerations for improving this lidar system are also discussed.
Article
Optics
Chunyan Chu, Shengying Liu, Zhentao Liu, Chenyu Hu, Yuejin Zhao, Shensheng Han
Summary: The spectral polarization camera based on GISC modulates three-dimensional spatial and spectral information of the target into two-dimensional speckle patterns, which are then acquired through a polarized CCD, verifying the feasibility of the system structure and reconstruction algorithm. The GISC spectral polarization camera provides a simple scheme for obtaining multi-dimensional information of the light field through compressive sampling during the imaging acquisition process.
Article
Optics
Shuai Mao, Yuchen He, Hui Chen, Huaibin Zheng, Jianbin Liu, Yuan Yuan, Mingnan Le, Bin Li, Juan Chen, Zhuo Xu
Summary: Deep-learning methods are increasingly used in ghost imaging for high-quality reconstructions with limited sampling rates. However, existing methods overlook image diversity by focusing on pixel-level loss and one-to-one mapping. This study proposes a denoising diffusion probabilistic model (DDPM) framework that not only achieves better quality but also generates reconstruction results with high diversity. Experimental results demonstrate the effectiveness of the approach and its potential in color ghost imaging reconstruction.
Article
Optics
Zhan Yu, Yang Liu, Jinxi Li, Xing Bai, Zhongzhuo Yang, Yang Ni, Xin Zhou
Summary: This paper presents a new color computational ghost imaging strategy using a single-pixel detector and training by simulated dataset. The experimental results show that this method can accurately recover image information and correct color distortion with good generalization.
Article
Materials Science, Multidisciplinary
Wei Tan, Yanfeng Bai, Xianwei Huang, Xiaohui Zhu, Teng Jiang, Xuanpengfan Zou, Suqin Nan, Mingwei Liu, Xiquan Fu
Summary: In this paper, a practical method is proposed to separate signal from noise background in ghost imaging systems based on correlation calculation. The method can significantly increase the signal-to-noise ratio (SNR) of the reconstructed images. This research provides a novel method for suppressing noise influence on feeble-light ghost imaging, which has valuable reference value in biomedicine and remote sensing.
RESULTS IN PHYSICS
(2023)
Article
Physics, Applied
Qingtian Guan, Huaxia Deng, Wenbo Liang, Mingyang Ni, Xicheng Gao, Mengchao Ma, Xiang Zhong, Xinglong Gong
Summary: To enhance the security of liveness detection, a method is proposed to extract human physiological components from the object and classify the properties. The proposed method achieves liveness detection by separating heart rate components and capturing only one image. It has a high correct rate and low average error, and can work in low-resolution conditions.
APPLIED PHYSICS LETTERS
(2023)
Article
Optics
Zhuo Yu, Xiao-Qian Wang, Chao Gao, Zhe Li, Huan Zhao, ZhiHai Yao
Summary: A novel technique is proposed in this study to avoid negative illumination and involves only one round of measurements to recover object information, with half the measurements compared to conventional schemes. This method is not limited to Hadamard pattern and may have relevance for the general development of computational ghost imaging.
Article
Optics
Long Pan, Chenjin Deng, Cuiping Yu, Shuai Yue, Wenlin Gong, Shensheng Han
Summary: The influence of sparsity of random speckle illumination on traditional ghost imaging and ghost imaging via sparsity constraint in a noise environment was investigated. Both traditional ghost imaging and ghost imaging via sparsity constraint achieved optimal imaging quality when the sparsity of random speckle illumination was 0.5.
CHINESE OPTICS LETTERS
(2021)
Article
Optics
Boyu Qi, Longfei Yin, Huixia Mo, Guohua Wu
Summary: This paper presents a method to enhance the quality of ghost imaging (GI) by optimizing the optical field, using a measurement-driven framework with a low-rank constraint on speckle patterns. The proposed scheme achieves good improvements in peak signal-to-noise ratio (PSNR) and structure similarity (SSIM) index at low sampling rates compared with the current state-of-the-art optical field optimization methods. The minimum sampling rate at which the scheme achieves good performance is about 3.8%.
OPTICS COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Yuanjin Yu, Jiali Zheng, Shizhuang Chen, Zhaohua Yang
Summary: This study proposes an image reconstruction method based on the artificial bee colony (ABC) algorithm to overcome the imaging problem of moving objects. By estimating the motion velocity and actively shifting patterns according to the velocity, the image can be reasonably reconstructed.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Multidisciplinary Sciences
Hanqiu Kang, Yijun Wang, Ling Zhang, Duan Huang
Summary: This paper introduces an optimization scheme of speckle patterns via a measurement-driven framework to improve the reconstruction quality of ghost imaging. Experimental results show that the proposed scheme can achieve better reconstruction quality with a low sampling rate.
SCIENTIFIC REPORTS
(2021)
Article
Optics
Yang Peng, Wen Chen
Summary: This Letter proposes a learning-based correction method for ghost imaging through dynamic scattering media. The method uses deep neural networks with Gaussian constraints to learn the wave-scattering mechanism in dynamic scattering environments and rectify physically existing dynamic scaling factors in the optical channel. The corrected realizations follow a Gaussian distribution and can be used to recover high-quality ghost images. Experimental results demonstrate the effectiveness and robustness of the proposed method.
Article
Quantum Science & Technology
Jonte R. Hance, John Rarity
Summary: The protocol presents a ghost imaging method that maintains counterfactuality, ensuring no interaction between light and the imaged object. In the infinite limit, this method allows imaging of light-sensitive objects without damaging them, while in general, it offers significant improvement in visibility and signal-to-noise ratio compared to previous protocols.
NPJ QUANTUM INFORMATION
(2021)
Article
Optics
Huan Cui, Jie Cao, Qun Hao, Dong Zhou, Mingyuan Tang, Kaiyu Zhang, Yingqiang Zhang
Summary: The research proposes an omnidirectional ghost imaging system that can achieve a 360 degrees omnidirectional field of view with the addition of a curved mirror, obtaining undistorted and unwrapping-free panoramic images with uniform resolution.
Article
Optics
Baolei Liu, Fan Wang, Chaohao Chen, Fei Dong, David Mcgloin
Summary: Ghost imaging captures 2D images using a point detector instead of an array sensor, offering the potential to image objects in turbid media and bypass offline processing. The self-evolving ghost imaging strategy evaluates and generates illumination patterns in real time, updating the object's image at a rapid rate. SEGI demonstrates robust imaging capabilities for static and moving objects, surpassing traditional computational ghost imaging in terms of imaging power and adaptability.
