Article
Environmental Sciences
Hui Huang, Zehao Sun, Shuchang Liu, Yanan Di, Jinzhong Xu, Caicai Liu, Ren Xu, Hong Song, Shuyue Zhan, Jiaping Wu
Summary: Underwater hyperspectral imaging was proposed for in situ detection of microplastics (MPs) on the seabed in turbid water, assisted by spectral image correction. Support vector machine (SVM) outperformed other classifiers, achieving high precision (PR) = 0.9839, recall (RE) = 0.9859, and F1-score (F1) = 0.9849 for identifying six types of MPs.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Optics
Shudi Yang, Zhehan Chen, Jiaxiong Wu, Zhipeng Feng
Summary: An underwater imaging model based on dark channel prior theory was proposed to generate turbid underwater images. The model takes into account the influences of background light correction and turbidity factors in different bodies of water. Experimental results show that the model can fit the imaging and enhance the quality of turbid underwater images.
JOURNAL OF MODERN OPTICS
(2022)
Article
Optics
Yuanzhi Zhao, Wenjun He, Hang Ren, Yahong Li, Yuegang Fu
Summary: In this study, the traditional polarization imaging model's limitations are overcome by adding constraints, and a new method is proposed to simultaneously obtain the polarization information of the target and scattering medium. The method demonstrates high contrast and similarity to targets without scattering in underwater imaging.
OPTICS AND LASERS IN ENGINEERING
(2022)
Article
Engineering, Electrical & Electronic
Yanfa Xiang, Xu Yang, Qiming Ren, Guochen Wang, Jie Gao, Khian-Hooi Chew, Rui-Pin Chen
Summary: This paper proposes a method for underwater image restoration using deep learning technology. By training and testing different polarization component images and considering the physical model of polarization dehazing imaging, it achieves high-quality restoration of hazy images.
IEEE PHOTONICS JOURNAL
(2022)
Article
Engineering, Multidisciplinary
Tiantian Chen, Jiarui Zhao, Yunzhuo Liu, Shuyue Zhan
Summary: In this paper, a novel underwater hyperspectral imaging (UHI) system inspired by the visual features of typical cephalopods is proposed. By using a visual bionic lens and conducting network training with chromatic blur datasets, the system can effectively reconstruct spectral images with reduced data sampling rate and exposure time compared to traditional imaging methods.
BIOINSPIRATION & BIOMIMETICS
(2023)
Article
Physics, Multidisciplinary
Qingsheng Xue, Hui Li, Fengqin Lu, Haoxuan Bai
Summary: Hyperspectral imaging technology combines spectral technology and imaging technology to effectively obtain spectral and spatial information about underwater targets. To meet the requirements of deep-sea exploration, an underwater hyperspectral imaging system with good imaging quality and spectral detection capability was developed.
FRONTIERS IN PHYSICS
(2022)
Review
Instruments & Instrumentation
Zhixin Wang, Peng Xu, Bohan Liu, Yankun Cao, Zhi Liu, Zhaojun Liu
Summary: This paper demonstrates the principle and practical applications of hyperspectral object detection, as well as discussing the challenges faced in this field. By summarizing the current research status of hyperspectral techniques and exploring the development of underwater hyperspectral techniques, the paper presents a conclusion of applications and future research directions. Various methods for underwater object detection with hyperspectral imaging are compared, highlighting the importance of these methods in the future of this technology.
Article
Optics
John D. Vanderlaan, Brian J. Redman, Jacob W. Segal, Karl Westlake, Jeremy B. Wright, Brian Z. Bentz
Summary: Fogs, low lying clouds, and other highly scattering environments are challenging for many sensing systems. Our study demonstrates that polarized light can penetrate through scattering environments such as fog. We present the design, construction, and testing of active polarization imagers, showing that circularly polarized imaging is superior to linear polarization imaging in range and contrast in fog.
Article
Optics
Pengfei Qi, Xiaobo Li, Yilin Han, Liping Zhang, Jianuo Xu, Zhenzhou Cheng, Tiegen Liu, Jingsheng Zhai, Haofeng Hu
Summary: Unsupervised polarimetric generative adversarial network (UR)-R-2-pGAN is proposed for unpaired underwater-image recovery. The method overcomes the reliance on strictly paired images in traditional learning-based methods and significantly improves restoration performance. The inclusion of polarization losses in the network enhances details restoration. Imaging experiments conducted under varying turbidity with different objects and viewing conditions demonstrate an average improvement of 3.4 dB in peak signal to noise ratio. The new method can be readily applied to practical underwater applications.
OPTICS AND LASERS IN ENGINEERING
(2022)
Article
Optics
Shanshan Zheng, Hao Wang, Shi Dong, Fei Wang, Guohai Situ
Summary: This study proposes a method for single-shot incoherent imaging through highly nonstatic and optically thick turbid media using a deep neural network, achieving high fidelity reconstruction of object images in severe environments with high turbidity.
PHOTONICS RESEARCH
(2021)
Article
Environmental Sciences
Bohan Liu, Shaojie Men, Zhongjun Ding, Dewei Li, Zhigang Zhao, Jiahao He, Haochen Ju, Mengling Shen, Qiuyuan Yu, Zhaojun Liu
Summary: The paper presents an underwater hyperspectral imager that can detect and identify targets on the seafloor by collecting high-resolution spectral images. A novel integrated underwater hyperspectral imaging system was developed and an autofocus strategy based on liquid lens focusing transfer was proposed. The prototype showed accurate and stable performance in capturing hyperspectral data, with potential applications for in situ deep-sea exploration.
Article
Computer Science, Artificial Intelligence
Wei He, Naoto Yokoya, Xin Yuan
Summary: This paper proposes a fusion model for HSI reconstruction by combining CASSI and RGB measurements, utilizing low-dimensional spectral subspace property and patch processing strategy to improve the speed and quality of reconstruction. Extensive experiments demonstrate that the proposed method outperforms previous state-of-the-art methods and speeds up the reconstruction process significantly.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2021)
Article
Engineering, Civil
Fengqi Xiao, Fei Yuan, Yifan Huang, En Cheng
Summary: This article proposes a turbid underwater image enhancement method based on parameter-tuned stochastic resonance (SR). By constructing an algorithm framework, analyzing the relationship between image quality evaluation metrics and system parameters, and proposing an adaptive parameter tuning strategy, the proposed method effectively enhances turbid underwater images.
IEEE JOURNAL OF OCEANIC ENGINEERING
(2023)
Article
Optics
Xueyan Ding, Yafei Wang, Xianping Fu
Summary: This paper proposes a learning-based method for clear underwater color polarization imaging. By using multi-polarization fusion adversarial generative networks, the method learns the relationship between polarization information and object radiance. Experimental results show that the proposed method can effectively remove backscattered light and recover object radiance.
OPTICS AND LASERS IN ENGINEERING
(2022)
Article
Optics
Yuhu Ren, Jimo Jian, Delai Kong, Jing Wang, Wenjiang Tan, Wei Xia
Summary: In this study, time-resolved imaging of an object in a turbid medium was demonstrated using ultrafast optical Kerr gate (OKG) of liquid carbon disulfide (CS2), improving the visibility and contrast of the image. The delay time between the imaging pulse and gating pulse plays a key role in the efficiency of ultrafast OKG imaging of CS2 through a turbid medium, with a relatively wide delay time range for obtaining high contrast images.
OPTICS AND LASER TECHNOLOGY
(2021)
Article
Optics
Jiaming Qian, Shijie Feng, Mingzhu Xu, Tianyang Tao, Yuhao Shang, Qian Chen, Chao Zuo
Summary: This proposed real-time 360 degrees 3D surface defect inspection approach utilizes fringe projection profilometry to acquire accurate depth information and a cycle-positioning-based registration scheme for rapid alignment, enabling simultaneous scanning and real-time detection of 3D surface defects. Through this method, the surface defects of complex objects can be accurately identified in a simple and cost-effective manner, with potential applications in quality control across various industries.
OPTICS AND LASERS IN ENGINEERING
(2021)
Review
Optics
Shijie Feng, Chao Zuo, Liang Zhang, Tianyang Tao, Yan Hu, Wei Yin, Jiaming Qian, Qian Chen
Summary: In this work, a review of some of the most commonly used calibration methods in fringe projection profilometry is presented. The study covers basic principles, advantages, limitations, and factors affecting the performance of calibration methods. Quantitative and qualitative comparative experiments are used to showcase the advantages and suitability of each method.
OPTICS AND LASERS IN ENGINEERING
(2021)
Article
Optics
Yan Hu, Zhongwei Liang, Shijie Feng, Wei Yin, Jiaming Qian, Qian Chen, Chao Zuo
Summary: The article introduces the Scheimpflug lens-based imaging model and its application, proposes a simplified imaging model based on projection, and develops calibration algorithms and rectification methods for stereo matching. The effectiveness and accuracy of the methods are verified through experiments.
OPTICS AND LASERS IN ENGINEERING
(2022)
Article
Optics
Yixuan Li, Jiaming Qian, Shijie Feng, Qian Chen, Chao Zuo
Summary: Single-shot fringe projection profilometry (FPP) is crucial for retrieving the absolute depth information of objects in high-speed dynamic scenes. This study proposes a composite fringe projection deep learning profilometry (CDLP) method that combines deep learning and physical model to achieve high-precision and unambiguous phase retrieval on a single composite fringe image. The method overcomes the problem of serious spectrum aliasing caused by multiplexing schemes and can reconstruct high-quality absolute 3D surfaces.
Correction
Optics
Chao Zuo, Jiaming Qian, Shijie Feng, Wei Yin, Yixuan Li, Pengfei Fan, Jing Han, Kemao Qian, Qian Chen
LIGHT-SCIENCE & APPLICATIONS
(2022)
Review
Optics
Chao Zuo, Jiaming Qian, Shijie Feng, Wei Yin, Yixuan Li, Pengfei Fan, Jing Han, Kemao Qian, Qian Chen
Summary: Optical metrology, with the advances in deep learning technologies, has become a versatile problem-solving tool in various fields such as manufacturing, fundamental research, and engineering applications. This review provides an overview of the current status and latest progress of deep learning in optical metrology, covering applications in tasks like fringe denoising, phase retrieval, and error compensation. The challenges and future research directions are also discussed.
LIGHT-SCIENCE & APPLICATIONS
(2022)
Article
Physics, Applied
Jiaming Qian, Yu Cao, Kailong Xu, Ying Bi, Weiyi Xia, Qian Chen, Chao Zuo
Summary: This article presents a fast and robust reconstruction algorithm for structured illumination microscopy (SIM), which improves computational efficiency and achieves high-quality super-resolution reconstruction by incorporating accelerated correlation parameter estimation and a specially designed phase-shifting strategy combined with pixel-wise fluorescence pre-calibration.
APPLIED PHYSICS LETTERS
(2022)
Article
Chemistry, Analytical
Jinglei Wang, Yixuan Li, Yifan Ji, Jiaming Qian, Yuxuan Che, Chao Zuo, Qian Chen, Shijie Feng
Summary: Fringe projection profilometry (FPP) is widely used in 3D measurements due to its high accuracy, non-contact nature, and full-field scanning capabilities. However, the use of invisible fringe patterns in the near-infrared spectra often leads to severe speckle noise, limiting the quality of 3D reconstructions. To overcome this issue, we propose a deep learning-based framework that can effectively remove speckle noise and improve the precision of 3D reconstructions.
Article
Optics
Jiaming Lyu, Jiaming Qian, Kailong Xu, Yuxia Huang, Chao Zuo
Summary: Structured illumination microscopy (SIM) is a significant super-resolution technique in bio-science for observing live-cell dynamics. This Letter proposes a robust motion-resistant SIM algorithm based on principal component analysis (mrPCA-SIM), which can efficiently compensate for nonuniform pixel shifts and phase errors in each raw illumination image. Experiments demonstrate that mrPCA-SIM achieves more robust imaging quality in complex, unstable conditions compared with conventional methods, promising a more compatible and flexible imaging tool for live cells.
Article
Optics
Xinming Guo, Yixuan Li, Jiaming Qian, Yuxuan Che, Chao Zuo, Qian Chen, Edmund Y. Lam, Huai Wang, Shijie Feng
Summary: Temporal phase unwrapping is an important method for recovering discontinuous surfaces or spatially isolated objects in fringe projection profilometry. Existing algorithms can be classified into three types, but all require additional fringe patterns of different frequencies to retrieve the absolute phase. Image noise limits the efficiency and speed of phase unwrapping. This work shows for the first time that a generalized framework using deep learning can effectively mitigate noise and enhance phase unwrapping reliability, without increasing the number of auxiliary patterns. The proposed method has great potential for developing powerful and reliable phase retrieval techniques.
Proceedings Paper
Astronomy & Astrophysics
Jiaming Qian, Shejie Feng, Yixuan Li, Qian Chen, Chao Zuo
Summary: This study demonstrates that by using deep learning, phase retrieval, geometric constraints, and phase unwrapping can be effectively unified into a comprehensive framework, which can more efficiently and robustly unwrap the phase of dense fringe images with fewer camera views.
AOPC 2021: NOVEL TECHNOLOGIES AND INSTRUMENTS FOR ASTRONOMICAL MULTI-BAND OBSERVATIONS
(2021)
Proceedings Paper
Optics
Yixuan Li, Jiaming Qian, Shijie Feng, Qian Chen, Chao Zuo
Summary: This paper introduces a new approach that utilizes deep convolutional neural networks in single-shot fringe projection profilometry to achieve high-accuracy 3D shape measurements of isolated and complex surface objects. By combining physical models and data-driven techniques, training an improved U-Net network can directly perform high-precision phase retrieval on a single-shot spatial frequency multiplexing composite fringe image, avoiding spectrum aliasing.
TWELFTH INTERNATIONAL CONFERENCE ON INFORMATION OPTICS AND PHOTONICS (CIOP 2021)
(2021)
Proceedings Paper
Optics
Yixuan Li, Jiaming Qian, Shijie Feng, Qian Chen, Chao Zuo
Summary: This study develops a single-frame composite fringe encoding approach and uses a deep convolutional neural network to retrieve the absolute phase of the object from this composite pattern end-to-end. The proposed method can directly obtain spectrum-aliasing-free phase information and robust phase unwrapping from single-frame compound input through extensive data learning. Experiments have demonstrated that the proposed deep-learning-based approach can achieve absolute phase retrieval using a single image.
FOURTH INTERNATIONAL CONFERENCE ON PHOTONICS AND OPTICAL ENGINEERING
(2021)
Proceedings Paper
Optics
Jiaming Qian, Shijie Feng, Yixuan Li, Tianyang Tao, Qian Chen, Chao Zuo
Summary: Color deep learning profilometry (CDLP) is a novel single-shot 3D shape measurement approach that utilizes neural networks trained on extensive data sets to predict depth information directly from color fringe images, achieving accurate phase information acquisition and robust phase unwrapping without complex pre/post-processing.
FOURTH INTERNATIONAL CONFERENCE ON PHOTONICS AND OPTICAL ENGINEERING
(2021)
Article
Optics
Hang Dong, Zhixin Sun, Jingyi Li, Yahui Li, Wei Zhang, Guangyong Jin
Summary: This paper calculates thermal stresses and adsorption forces to determine laser cleaning conditions and establishes relevant models. Experimental results show that the removal effect is better with increasing nanosecond pulse delay, with the best effect achieved at 600 milliseconds pulse delay. Based on the findings, the mechanisms of oxide film removal involve thermal stress against adsorption and plasma shock wave breaking the oxide layer.
OPTICS COMMUNICATIONS
(2024)
Article
Optics
Junjie Zhang, Wenjun Li, Bingtao Li, Zheng-Da Hu, Jicheng Wang, Feng Zhang, Lei Wang
Summary: A multilayer thin film device structure based on Tamm plasmons is proposed for high-performance near-infrared hot electron photodetectors. By optimizing the device structure parameters, high responsivity detection can be achieved.
OPTICS COMMUNICATIONS
(2024)
Article
Optics
Hong Huang, Zhiguang Han
Summary: This paper proposes a new ghost imaging reconstruction method using ordered orthogonal Hadamard derived speckle as the illumination speckle series, and introduces the alternating direction multiplier method to improve the imaging performance. The evaluation results show that the method can achieve high-quality reconstructed images under low sampling conditions.
OPTICS COMMUNICATIONS
(2024)
Article
Optics
Moritsugu Sakamoto, Yuki Ono, Kohei Noda, Tomoyuki Sasaki, Nobuhiro Kawatsuki, Masayuki Tanaka, Hiroshi Ono
Summary: The effect of wavelength and polarization of illuminating light in polarization imaging for birefringent objects placed behind a scattering structure was experimentally investigated. The result shows that the spatial distribution of the birefringent object was more clearly visualized in the longer wavelength combined with circularly polarized light illumination. This finding indicates the potential of using polarization imaging with circularly polarized light illumination in the near-infrared range for visualizing birefringent objects with scattering.
OPTICS COMMUNICATIONS
(2024)
Article
Optics
Peihui Du, Hongfang Wang, Pengwei Li, Rukeyemuhan Abadula, Hmbat Batelbek, Min Gao
Summary: In this study, we theoretically demonstrate the strong coupling between Tamm plasmons and exciton polaritons in metal Al/DBR-molecular structures, extending the operating wavelength to the deep ultraviolet region. The coupling strength can be effectively manipulated by adjusting the structure parameters, offering potential benefits for the development of new-style optical filters.
OPTICS COMMUNICATIONS
(2024)
Article
Optics
Priyanka Chaudhary, Akhilesh Kumar Mishra
Summary: We design and numerically investigate the switching dynamics between two outer waveguides in a parity-time (PT)-symmetric adiabatically coupled three waveguides nonlinear directional coupler (NLDC) system. The study shows that the device can provide switching even when the middle waveguide is nonlinear and the outer waveguides are linear. Furthermore, the effect of loss to gain ratio on critical switching power and the impact of launched light power and gain (loss) value on transmitted power are also studied.
OPTICS COMMUNICATIONS
(2024)
Article
Optics
Wei Feng, Yongcong Yi, Shuyang Li, Zhi Xiong, Boya Xie, Zhen Zeng
Summary: Traditional imaging techniques are ineffective in achieving clear underwater imaging due to the presence of scattering media. Single-pixel imaging (SPI) system based on Unet++ offers a solution for reconstructing high-quality images in highly turbid water environments.
OPTICS COMMUNICATIONS
(2024)
Article
Optics
Xiaorui Qu, Jufeng Zhao, Haijun Tian, Junjie Zhu, Guangmang Cui
Summary: This paper studies the structural similarity between RGB and spectral images and proposes a non-iterative Images Structure Similarity (ISS) method for fast reconstruction of spectral images. Additionally, the input of the Deep Image Prior (DIP) method is optimized for the first time by using the initial spectral data reconstructed by ISS, leading to an improved starting value for the iteration. The experimental results show that the proposed method can enhance the reconstruction quality in both spectral and spatial resolutions, while significantly reducing the reconstruction time compared to other DIP-based methods.
OPTICS COMMUNICATIONS
(2024)
Article
Optics
Donghe Sheng, Zhe Han, Zanyang Qiao, Tianpei Dong, Chenxi Wang, Huiping Tian
Summary: In this study, a distributed multi-parameter sensor based on an etched few-mode multi-core fiber is proposed, allowing simultaneous sensing of temperature, strain, and sample refractive index. By combining space division multiplexing and stimulated Brillouin scattering, the sensor achieves high sensitivity in detecting these parameters.
OPTICS COMMUNICATIONS
(2024)
Article
Optics
Dehao Chen, Zhenwu Mo, Zehong Liang, Junjie Jiang, Huilin Tang, Yidan Sun, Ziyu Wang, Quanfeng Wei, Yanru Chen, Dongmei Deng
Summary: In this study, a novel family of elliptical Airyprime vortex beams (EAPVBs) is introduced, which inherits the excellent self-focusing properties of the circular Airyprime vortex beam (CAPVB). The asymmetric focusing of EAPVB leads to some novel properties, such as the splitting of high-order optical vortex and the formation of two foci. By taking advantage of these properties, EAPVB is constructed as a tunable optical bottle for particle capture.
OPTICS COMMUNICATIONS
(2024)
Article
Optics
Xiao Ma, Qiongchan Shao, Jian-Jun He
Summary: In this study, an SHS chip based on Su8 waveguide was designed and fabricated. By physically adjusting the metal electrodes and compensating for transmissivity fluctuations, the generation of side ripples was successfully suppressed.
OPTICS COMMUNICATIONS
(2024)
Article
Optics
Hongbin Zhang, Jiansen Du, Zongtao Chi, Hailin Cong, Bin Wang
Summary: In this paper, a novel type of dual-wavelength confocal metalens is proposed to solve the spatial crosstalk between two wavelengths. The metalens can greatly reduce the spatial crosstalk and achieve high precision and efficiency in confocal imaging. It can also focus light in specific wavelength ranges, making it suitable for imaging, microscopy, and optical fiber communication.
OPTICS COMMUNICATIONS
(2024)
Article
Optics
Rui Qiu, Guanmao Zhang, Shaokai Du, Jie Liu, Hongyu Jib, Kaiyun Bi, Bochuan Xing, Guangchao Diao
Summary: Recent research has developed an achromatic metalens that shows potential for replacing traditional lenses. This study focuses on a continuously variable focus height broadband achromatic metalens for long-wavelength infrared applications. By optimizing materials and parameters, chromatic aberration is effectively corrected, making it suitable for high-resolution LWIR imaging and spectroscopy systems.
OPTICS COMMUNICATIONS
(2024)
Article
Optics
Marcos Troncoso-Costas, Gaurav Jain, Yiming Li, Mohammed Patel, Lakshmi Narayanan Venkatasubramani, Sean O'Duill, Frank Smyth, Andrew Ellis, Francisco Diaz-Otero, Colm Browning, Liam Barry
Summary: In this work, a fast-switching tuneable laser capable of wide wavelength coverage, low noise and linewidth levels suitable for high-order modulation formats is demonstrated. The laser is characterized to cover a wavelength range of 35 nm in the C-band with nanosecond switching time. It is used to successfully demonstrate 480 Gbit/s 16QAM transmission over 25 km of single-mode fiber for a wavelength range of 19 nm.
OPTICS COMMUNICATIONS
(2024)
Article
Optics
Takeshi Moriyasu, Masahiko Tani, Hideaki Kitahara, Takashi Furuya, Jessica Afalla, Toshiro Kohmoto, Daishiro Koide, Hiroki Sato, Mitsutaka Kumakura
Summary: Optical pump-terahertz probe spectroscopy was used to study the photocarrier dynamics and optical characteristics of semiconductor Si. The results showed that the thickness of Si influenced the transmitted terahertz field amplitude and peak delay time, indicating differences in photocarrier dynamics between different Si materials.
OPTICS COMMUNICATIONS
(2024)
