Article
Optics
Qian Chen, Zhijie Tan, Hong Yu, Shensheng Han
Summary: Ghost imaging based on high-order correlation of optical field has been rapidly developed and extended to the x-ray region. However, limited photon flux results in severe image deterioration. In this study, Fourier-transform ghost imaging with super-Rayleigh speckles is proposed to achieve high-quality ghost imaging at a low photon flux level. The super-Rayleigh speckles were designed using the direct binary search algorithm to optimize binary modulating screens. Experimental results show that speckle contrast can be greatly enhanced and high-visibility Fourier-transform diffraction patterns of the sample can be obtained. This method is of great importance for high-resolution imaging in photon-limited scenarios, especially for laboratory x-ray systems.
Article
Physics, Multidisciplinary
Yi Zhang, Yunhe Zhang, Chen Chang, Shuai Sun, Weitao Liu
Summary: Multiple description coding ghost imaging is an imaging method with advantages in challenging scenarios. By using illumination with different coding patterns, it can produce satisfactory images even when the signal is distorted or lost, providing a positive boost for practical applications of ghost imaging.
FRONTIERS IN PHYSICS
(2023)
Article
Physics, Multidisciplinary
Xing-Yu Chen, Xin Zhou, Xing Bai, Zhan Yu, Yu-Jie Wang, Xin-Jia Li, Yang Liu, Ming-Ze Sun
Summary: Ghost imaging, a hotspot in the imaging field, has various systems based on different principles. Research shows that Fourier ghost imaging and sinusoidal ghost imaging are equivalent in principle, and combining their characteristics can improve the anti-noise performance and imaging efficiency.
ACTA PHYSICA SINICA
(2023)
Article
Optics
Takafumi Ito, Koshi Komuro, Takanori Nomura
Summary: A phase imaging method with CGI architecture is proposed, introducing PMDPC to allow for phase information retrieval in transparent objects. The compatibility of the two methods is demonstrated through numerical simulation and optical experiment, showing the feasibility of the proposed method.
Article
Optics
Ritz Ann Aguilar, Nathaniel Hermosa, Maricor Soriano
Summary: In this study, three-dimensional computational ghost imaging was achieved using multiple photoresistors as single-pixel detectors with the semi-calibrated lighting approach. The depth map and surface normals of the scene were retrieved accurately by performing imaging in the spatial frequency domain and applying semi-calibrated photometric stereo (SCPS) to the obtained spectra.
Article
Geochemistry & Geophysics
Zhuang Li, Ye Zhang, Junping Zhang
Summary: Current anomaly detection methods in hyperspectral images may lead to false alarms and missed detections when detecting spectral anomaly targets. The proposed method in this article combines spatial and spectral constraints, and utilizes a feedback mechanism to enhance detection accuracy.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Physics, Multidisciplinary
Yi Kang, Leihong Zhang, Hualong Ye, Dawei Zhang, Songlin Zhuang
Summary: A novel ghost imaging-based optical cryptosystem for multiple images is proposed using the integral property of the Fourier transform. Modulation patterns related to plaintext images are constructed to achieve encrypted transmission of multiple images, providing a new idea for optical information encryption. The feasibility, security, and robustness of the scheme are verified through experiments and simulations, demonstrating high scalability and broad application prospect.
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
Mathematics, Applied
Andrey Akinshin, Gil Goldman, Yosef Yomdin
Summary: This study examines the geometry of error amplification in reconstructing signal F from moments m(k)(F), particularly in cases where the nodes are near-collide. The results indicate that error amplification is governed by certain algebraic varieties in the parameter space of signals F, known as Prony varieties, and can be utilized to derive lower and upper bounds on reconstruction error, as well as separate bounds on amplitudes and nodes reconstruction. Furthermore, the geometry of Prony varieties can be used to enhance reconstruction accuracy with additional a priori information.
MATHEMATICS OF COMPUTATION
(2021)
Article
Optics
Pengwei Wang, Chenglong Wang, Cuiping Yu, Shuai Yue, Wenlin Gong, Shensheng Han
Summary: The proposed color ghost imaging approach utilizes three-color non-orthogonal random patterns to illuminate the object, with information received by a single-pixel detector and utilizing sparsity constraint and non-local self-similarity in image reconstruction. Numerical simulation results show enhanced imaging quality compared to methods using object sparsity alone, and factors like measurement number and signal-to-noise ratio are studied for their impact on the quality of imaging via sparsity constraint and nonlocal self-similarity (GISCNL).
CHINESE OPTICS LETTERS
(2021)
Article
Computer Science, Artificial Intelligence
Anastasios Kyrillidis, Anshumali Shrivastava, Moshe Y. Vardi, Zhiwei Zhang
Summary: The Boolean SATisfiability problem is crucial in computer science, and recent progress in SAT solvers, particularly in Conflict-Driven Clause Learning (CDCL) and Local Search SAT solvers, has been notable. However, there is still a lack of general approach for handling non-CNF constraints. The designed FouriersAT solver utilizes Fourier Analysis to address systems with different types of constraints, leveraging gradient information for local improvements, demonstrating effectiveness on certain benchmarks.
ARTIFICIAL INTELLIGENCE
(2021)
Article
Optics
Zhang Leihong, Wang Yang, Zhang Dawei
Summary: An algorithm for multiple-image encryption based on Radon transform and ghost imaging is proposed to address issues such as low reconstruction accuracy, easy cross-talk, and poor robust performance. By applying Radon transform to the encryption system of ghost imaging, the algorithm successfully reduces data transmission, improves reconstructed image precision, and enhances encryption system robustness.
OPTICS COMMUNICATIONS
(2022)
Article
Optics
Qingtian Guan, Huaxia Deng, Wenbo Liang, Xiang Zhong, Mengchao Ma
Summary: This research proposes a computational ghost imaging encryption and watermarking method with a small key storage space. It uses the Arnold transform to encrypt the measurement matrix in computational ghost imaging and introduces independent component analysis to increase the difficulty of cracking. The method also includes two watermarking strategies to ensure data integrity. The feasibility of this method is verified through numerical simulations and optical experiments.
OPTICS AND LASER TECHNOLOGY
(2024)
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
Optics
Huan Cui, Jie Cao, Qun Hao, Dong Zhou, Haoyu Zhang, Lixing Lin, Yingqiang Zhang
Summary: Panoramic ghost imaging (PGI) is a new method to enlarge the field of view (FOV) of ghost imaging (GI) for practical application. However, the imaging resolution is limited by hardware technology. To achieve high resolution and large FOV of GI, a sub-cell pattern shifting method (SCPS) based on rotation and scaling invariances (RSI) of the log-polar annular pattern structure is proposed for reconstructing higher-resolution PGI from panoramic ghost images with sub-pixel shifting. Results show that SPCS can improve the resolution and reduce noise in PGI, ensuring high-quality images. This method has potential to promote practical application of high-quality and large FOV GI.
OPTICS AND LASER TECHNOLOGY
(2023)
