Editorial Material
Optics
Jian Zhao, Mingsheng Li
Summary: The integration of an acousto-optic programmable dispersive filter with spectrally filtered sequentially time all-optical mapping photography enables independent control of frame rate, frame intensity, and exposure time with a simple system design.
LIGHT-SCIENCE & APPLICATIONS
(2022)
Article
Optics
Huazhe Wei, Kaiqi Zhu, Minghui Zhang, Yangjian Cai, Xianlong Liu
Summary: This study investigates the impact of atmospheric turbulence on the quality of ghost imaging through numerical simulations and experimental measurements. It is found that increasing the topological charge can improve the image quality. The results of this study are significant for free space optical communication and information encryption.
Review
Optics
Vivek Boominathan, Jacob T. Robinson, Laura Waller, Ashok Veeraraghavan
Summary: This article reviews recent advances in lensless imaging technology and describes the design principles to be considered when developing and using lensless imaging systems.
Article
Engineering, Electrical & Electronic
Xiangjun Yin, Huanjing Yue, Mengxi Zhang, Huihui Yue, Xingyu Cui, Jingyu Yang
Summary: This paper proposes an end-to-end lensless object inference network and designs three phases to acquire features, highlight object regions, and eliminate false features. In addition, it also constructs the first dataset for lensless object inference research.
IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING
(2022)
Article
Engineering, Electrical & Electronic
Yucheng Zheng, M. Salman Asif
Summary: Mask-based lensless cameras are suitable for novel designs of computational imaging systems due to their flat, thin, and light-weight nature. However, the quality of images reconstructed from these cameras is often poor. In this paper, we propose the use of coded illumination patterns to improve the image reconstruction quality. We designed and tested different illumination patterns and found that shifting dots patterns provide the best overall performance. We also present simulation and hardware experiments results to demonstrate the effectiveness of our proposed method.
IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING
(2023)
Article
Optics
Qiang Fu, Dong-ming Yan, Wolfgang Heidrich
Summary: This study presents a diffractive lensless camera utilizing spatially-coded Voronoi-Fresnel phase for superior image quality. The design principle focuses on maximizing acquired information in optics to facilitate computational reconstruction, with the optimization guided by an easy-to-optimize Fourier domain metric, MTFv. The proposed Voronoi-Fresnel phase outperforms existing lensless cameras and holds potential for compact imaging systems in extreme physical conditions.
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.
Letter
Optics
Shenghao Zheng, Zhihui Ding, Rui Jiang, Cheng Guo
Summary: The study presents a self-calibrated phase retrieval method for lensless masked imaging systems. The proposed method achieves efficient and flexible image recovery without the need for additional calibration devices.
Article
Computer Science, Information Systems
Thuong Nguyen Canh, Trung Thanh Ngo, Hajime Nagahara
Summary: Lensless imaging protects visual privacy by capturing heavily blurred images that are imperceptible for humans but contain enough information for machines. We propose a learnable lensless imaging framework that balances privacy protection and recognition accuracy through the use of specific loss functions. We studied the impact of privacy protection on personal identification through subjective evaluation and validated our simulation with a hardware realization of lensless imaging.
Article
Optics
Mohamed Touil, Said Idlahcen, Rezki Becheker, Denis Lebrun, Claude Roze, Ammar Hideur, Thomas Godin
Summary: This paper introduces a versatile single-shot imaging technique that combines STAMP, AOPDF, and DIH to improve imaging speed and enhance system flexibility. AOPDF allows for flexible adjustment of parameters, while DIH enables reconstruction on a wide depth of field. The system's imaging speed and flexibility are demonstrated by visualizing ultrashort events.
LIGHT-SCIENCE & APPLICATIONS
(2022)
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
Zhiyuan Ye, Peixia Zheng, Wanting Hou, Dian Sheng, Weiqi Jin, Hong-Chao Liu, Jun Xiong
Summary: This paper introduces a new technology called computational convolutional ghost imaging (CCGI), which uses a single-pixel photodetector and structured illumination to perform convolution operations, enabling direct observation of the features of interest in a target without imaging. The CCGI scheme can adaptively work under sub-Nyquist sampling conditions and is suitable for real-time non-imaging edge detection.
OPTICS AND LASERS IN ENGINEERING
(2022)
Article
Optics
Xiuxi Pan, Xiao Chen, Saori Takeyama, Masahiro Yamaguchi
Summary: A mask-based lensless camera encodes and reconstructs images optically to improve image reconstruction. Conventional model-based approaches are affected by imperfect system modeling, while pure data-driven deep neural networks have the potential to provide better reconstruction quality. However, existing pure DNN reconstruction methods for lensless imaging do not outperform model-based methods.
Article
Optics
Harry Penketh, William L. Barnes, Jacopo Bertolotti
Summary: Computational ghost imaging is a method for reconstructing images by illuminating an object with known patterns and collecting scattered light. It has been found that by choosing different illumination patterns, the reconstruction process can behave like a spatial filtering operation on the image, allowing for bypassing post-processing steps and avoiding noise amplification.
Article
Quantum Science & Technology
Dmitriy A. Balakin, Alexander Belinsky
Summary: In this paper, a quantum ghost imaging technique using spontaneous four-wave mixing process is proposed, which can improve the upper bound of spatial resolution compared to the traditional three-photon process, as it only limits the angular aperture of optical elements.
QUANTUM INFORMATION PROCESSING
(2022)
Article
Optics
Shuai Liu, Xu-Ri Yao, Xue-Feng Liu, Da-Zhi Xu, Xing-Da Wang, Bing Liu, Chao Wang, Guang-Jie Zhai, Qing Zhao
Article
Optics
Ruo-Ming Lan, Xue-Feng Liu, Li-Na Zhao, Yue-Feng Zhao, Cheng-Jie Bai
Article
Optics
Ying Chen, Xu-Ri Yao, Qing Zhao, Shuai Liu, Xue-Feng Liu, Chao Wang, Guang-Jie Zhai
Article
Chemistry, Analytical
Wen-Kai Yu
Article
Optics
Ying Chen, Shuai Liu, Xu-Ri Yao, Qing Zhao, Xue-Feng Liu, Bing Liu, Guang-Jie Zhai
OPTICS COMMUNICATIONS
(2020)
Article
Physics, Multidisciplinary
Yu-Hang He, Ai-Xin Zhang, Wen-Kai Yu, Li-Ming Chen, Ling-An Wu
CHINESE PHYSICS LETTERS
(2020)
Article
Physics, Multidisciplinary
Wen-Kai Yu, Jian Leng
Article
Physics, Applied
Jia-Zhi Yang, Ming-Fei Li, Xiao-Xiao Chen, Wen-Kai Yu, An-Ning Zhang
APPLIED PHYSICS LETTERS
(2020)
Article
Chemistry, Analytical
Wen-Kai Yu, Chen-Xi Zhu, Ya-Xin Li, Shuo-Fei Wang, Chong Cao
Summary: Inspired by the gradient descent idea in artificial intelligence, a gradient-descent-like ghost imaging method has been proposed to efficiently reconstruct high-quality images by moving towards the optimal solution of the preset objective function recursively. The feasibility of this technique has been demonstrated in both numerical simulation and optical experiments, offering more possibilities for image reconstruction in ghost imaging.
Article
Chemistry, Analytical
Wen-Kai Yu, Ying Yang, Jin-Rui Liu, Ning Wei, Shuo-Fei Wang
Summary: In this study, a simple secondary complementary balancing mechanism is proposed and demonstrated to minimize the impact of optical imbalance in single-pixel imaging systems, leading to improved reconstruction quality. Experimental results show that the use of secondary complementary balancing results in significantly better image quality.
Article
Chemistry, Analytical
Wen-Kai Yu, Ying Yang, Ya-Xin Li, Ning Wei, Shuo-Fei Wang
Summary: In existing cryptographic key distribution protocols, the interaction among multiple users is neglected and noise affects the performance. To overcome these issues, a multi-party interactive protocol based on computational ghost imaging is proposed, using cascade ablation of fragment patterns.
Article
Optics
Wen-Kai Yu, Ning Wei, Ya-Xin Li, Ying Yang, Shuo-Fei Wang
Summary: This research proposes a multi-party interactive CKD protocol under a computational ghost imaging framework, which enhances the security of communication through joint identity authentication via fragment synthesis.
OPTICS AND LASERS IN ENGINEERING
(2022)
Article
Engineering, Electrical & Electronic
Zhaohua Yang, Wang Li, Zhengyan Song, Wen-Kai Yu, Ling-An Wu
Summary: Computational ghost imaging captures images through the correlation between illumination patterns and object signals. A tracking compensation method has been proposed to eliminate motion blur, providing high quality reconstruction for moving objects. This method shows potential for various applications such as object tracking, remote sensing, and real-time imaging, outperforming conventional CGI.
IEEE SENSORS JOURNAL
(2021)
Article
Computer Science, Information Systems
Shuo-Fei Wang, Wen-Kai Yu, Ya-Xin Li
Article
Optics
Jian Leng, Wen-Kai Yu, Shuo-Fei Wang
