同名作者【Jinyang Liang】论文列表 -- 中国光学期刊网

同名作者【Jinyang Liang】论文列表

期刊

选择下列全部论文 将选定结果：

成像系统

超高速和极高速光学成像技术研究进展（特邀）创刊六十周年特邀

栗星 ^1,2†柏晨 ^1,2,*†李润泽 ¹彭彤 ¹[ ... ]姚保利 ^1,2,**

作者单位

摘要

¹ 中国科学院西安光学精密机械研究所瞬态光学与光子技术国家重点实验室，陕西西安 710119

² 中国科学院大学，北京 100049

³ Laboratory of Applied Computational Imaging，Centre Énergie Matériaux Télécommunications，Institut National de la Recherche Scientifique，Université du Québec，Québec J3X1P7，Canada

高速成像技术在物理、化学、生物医学、材料科学及工业等众多领域扮演着十分重要的角色。受电荷存储和读取速度的限制，基于电子成像器件的数码相机成像速度难以进一步提高。近年来，随着成像新技术的发展，超高速和极高速光学成像的性能已得到显著提升，具备更高的时间分辨率、空间分辨率及更大的序列深度等。介绍高速成像技术的发展历程，根据成像方式，将近年来具有代表性的新型超高速和极高速光学成像技术分为直接成像和编码计算成像两个类别。分别介绍和讨论各种新型超高速和极高速光学成像技术的概念和原理，并比较各自的优缺点。最后，对这一领域的发展趋势和前景进行展望。本文旨在帮助研究者系统了解超高速和极高速光学成像技术的基本知识、最新研究发展趋势和潜在应用，为该领域科学研究提供参考。

高速成像超高速成像极高速成像时间分辨率空间分辨率序列深度

PDF全文 Full Text

激光与光电子学进展

2024, 61(2): 0211020

Imaging Systems, Microscopy, and Displays

Single-shot real-time compressed ultrahigh-speed imaging enabled by a snapshot-to-video autoencoder

Download：567次

Xianglei Liu ^1†João Monteiro ^1†Isabela Albuquerque ¹Yingming Lai ¹[ ... ]Jinyang Liang ^1,4,*

Author Affiliations

Abstract

¹ Centre Énergie Matériaux Télécommunications, Institut National de la Recherche Scientifique, Varennes, Québec J3X1S2, Canada

² State Key Laboratory of Precision Spectroscopy, East China Normal University, Shanghai 200062, China

³ e-mail: falk@emt.inrs.ca

⁴ e-mail: jinyang.liang@emt.inrs.ca

Single-shot 2D optical imaging of transient scenes is indispensable for numerous areas of study. Among existing techniques, compressed optical-streaking ultrahigh-speed photography (COSUP) uses a cost-efficient design to endow ultrahigh frame rates with off-the-shelf CCD and CMOS cameras. Thus far, COSUP’s application scope is limited by the long processing time and unstable image quality in existing analytical-modeling-based video reconstruction. To overcome these problems, we have developed a snapshot-to-video autoencoder (S2V-AE)—which is a deep neural network that maps a compressively recorded 2D image to a movie. The S2V-AE preserves spatiotemporal coherence in reconstructed videos and presents a flexible structure to tolerate changes in input data. Implemented in compressed ultrahigh-speed imaging, the S2V-AE enables the development of single-shot machine-learning assisted real-time (SMART) COSUP, which features a reconstruction time of 60 ms and a large sequence depth of 100 frames. SMART-COSUP is applied to wide-field multiple-particle tracking at 20,000 frames per second. As a universal computational framework, the S2V-AE is readily adaptable to other modalities in high-dimensional compressed sensing. SMART-COSUP is also expected to find wide applications in applied and fundamental sciences.

PDF全文 Full Text

Photonics Research

2021, 9(12): 12002464

Letters

Single-shot spectral-volumetric compressed ultrafast photography

Download：775次

Pengpeng Ding ^1†Yunhua Yao ¹Dalong Qi ^1,*Chengshuai Yang ¹[ ... ]Shian Zhang ^1,3,*

Author Affiliations

Abstract

¹ East China Normal University, School of Physics and Electronic Science, State Key Laboratory of Precision Spectroscopy, Shanghai, China

² Institut National de la Recherche Scientifique, Centre Énergie Matériaux Télécommunications, Laboratory of Applied Computational Imaging, Varennes, Québec, Canada

³ Shanxi University, Collaborative Innovation Center of Extreme Optics, Taiyuan, China

In ultrafast optical imaging, it is critical to obtain the spatial structure, temporal evolution, and spectral composition of the object with snapshots in order to better observe and understand unrepeatable or irreversible dynamic scenes. However, so far, there are no ultrafast optical imaging techniques that can simultaneously capture the spatial–temporal–spectral five-dimensional (5D) information of dynamic scenes. To break the limitation of the existing techniques in imaging dimensions, we develop a spectral-volumetric compressed ultrafast photography (SV-CUP) technique. In our SV-CUP, the spatial resolutions in the x, y and z directions are, respectively, 0.39, 0.35, and 3 mm with an 8.8 mm × 6.3 mm field of view, the temporal frame interval is 2 ps, and the spectral frame interval is 1.72 nm. To demonstrate the excellent performance of our SV-CUP in spatial–temporal–spectral 5D imaging, we successfully measure the spectrally resolved photoluminescent dynamics of a 3D mannequin coated with CdSe quantum dots. Our SV-CUP brings unprecedented detection capabilities to dynamic scenes, which has important application prospects in fundamental research and applied science.

ultrafast optical imaging multi-dimensional imaging computational imaging compressed sensing image reconstruction

PDF全文 Full Text

Advanced Photonics

2021, 3(4): 045001

DEEP LEARNING IN PHOTONICS

High-fidelity image reconstruction for compressed ultrafast photography via an augmented-Lagrangian and deep-learning hybrid algorithm

Download：682次

Chengshuai Yang ¹Yunhua Yao ^1,6,*Chengzhi Jin ¹Dalong Qi ¹[ ... ]Shian Zhang ^1,4,5,7,*

Author Affiliations

Abstract

¹ State Key Laboratory of Precision Spectroscopy, School of Physics and Electronic Science, East China Normal University, Shanghai 200062, China

² Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA

³ Institut National de la Recherche Scientifique, Centre Énergie Matériaux Télécommunications, Laboratory of Applied Computational Imaging, Varennes, Québec J3X1S2, Canada

⁴ Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan 030006, China

⁵ Collaborative Innovation Center of Light Manipulations and Applications, Shandong Normal University, Jinan 250358, China

⁶ e-mail: yhyao@lps.ecnu.edu.cn

⁷ e-mail: sazhang@phy.ecnu.edu.cn

Compressed ultrafast photography (CUP) is the fastest single-shot passive ultrafast optical imaging technique, which has shown to be a powerful tool in recording self-luminous or non-repeatable ultrafast phenomena. However, the low fidelity of image reconstruction based on the conventional augmented-Lagrangian (AL) and two-step iterative shrinkage/thresholding (TwIST) algorithms greatly prevents practical applications of CUP, especially for those ultrafast phenomena that need high spatial resolution. Here, we develop a novel AL and deep-learning (DL) hybrid (i.e., $AL + DL$ ) algorithm to realize high-fidelity image reconstruction for CUP. The $AL + DL$ algorithm not only optimizes the sparse domain and relevant iteration parameters via learning the dataset but also simplifies the mathematical architecture, so it greatly improves the image reconstruction accuracy. Our theoretical simulation and experimental results validate the superior performance of the $AL + DL$ algorithm in image fidelity over conventional AL and TwIST algorithms, where the peak signal-to-noise ratio and structural similarity index can be increased at least by 4 dB (9 dB) and 0.1 (0.05) for a complex (simple) dynamic scene, respectively. This study can promote the applications of CUP in related fields, and it will also enable a new strategy for recovering high-dimensional signals from low-dimensional detection.

PDF全文 Full Text

Photonics Research

2021, 9(2): 02000B30

Imaging Systems, Microscopy, and Displays

High-speed dual-view band-limited illumination profilometry using temporally interlaced acquisition

Download：655次

Cheng Jiang ^1†Patrick Kilcullen ^1†Yingming Lai Tsuneyuki Ozaki Jinyang Liang ^*

Author Affiliations

Abstract

Centre Énergie Matériaux Télécommunications, Institut National de la Recherche Scientifique, 1650 boulevard Lionel-Boulet, Varennes, Québec J3X1S2, Canada

We report dual-view band-limited illumination profilometry (BLIP) with temporally interlaced acquisition (TIA) for high-speed, three-dimensional (3D) imaging. Band-limited illumination based on a digital micromirror device enables sinusoidal fringe projection at up to 4.8 kHz. The fringe patterns are captured alternately by two high-speed cameras. A new algorithm, which robustly matches pixels in acquired images, recovers the object’s 3D shape. The resultant TIA–BLIP system enables 3D imaging over 1000 frames per second on a field of view (FOV) of up to 180 mm × 130 mm (corresponding to

1180 \times 860 pixels

) in captured images. We demonstrated TIA–BLIP’s performance by imaging various static and fast-moving 3D objects. TIA–BLIP was applied to imaging glass vibration induced by sound and glass breakage by a hammer. Compared to existing methods in multiview phase-shifting fringe projection profilometry, TIA–BLIP eliminates information redundancy in data acquisition, which improves the 3D imaging speed and the FOV. We envision TIA–BLIP to be broadly implemented in diverse scientific studies and industrial applications.

PDF全文 Full Text

Photonics Research

2020, 8(11): 11001808

Research Articles

High-spatial-resolution ultrafast framing imaging at 15 trillion frames per second by optical parametric amplification

Download：706次

Xuanke Zeng ^1,2Shuiqin Zheng ¹Yi Cai ¹Qinggang Lin ¹[ ... ]Shixiang Xu ^1,*

Author Affiliations

Abstract

¹ Shenzhen University, College of Physics and Optoelectronic Engineering, Shenzhen Key Lab of Micro-Nano Photonic Information Technology, Shenzhen, China

² Shenzhen University, College of Electronic Information Engineering, Shenzhen, China

³ Institut National de la Recherche Scientifique, Centre Énergie Matériaux Télécommunications, Laboratory of Applied Computational Imaging, Varennes, Québec, Canada

We report a framing imaging based on noncollinear optical parametric amplification (NCOPA), named FINCOPA, which applies NCOPA for the first time to single-shot ultrafast optical imaging. In an experiment targeting a laser-induced air plasma grating, FINCOPA achieved 50 fs-resolved optical imaging with a spatial resolution of ～83 lp / mm and an effective frame rate of 10 trillion frames per second (Tfps). It has also successfully visualized an ultrafast rotating optical field with an effective frame rate of 15 Tfps. FINCOPA has simultaneously a femtosecond-level temporal resolution and frame interval and a micrometer-level spatial resolution. Combining outstanding spatial and temporal resolutions with an ultrahigh frame rate, FINCOPA will contribute to high-spatiotemporal resolution observations of ultrafast transient events, such as atomic or molecular dynamics in photonic materials, plasma physics, and laser inertial-confinement fusion.

ultrafast imaging spatiotemporal resolution frame rate noncollinear optical parametric amplification

PDF全文 Full Text

Advanced Photonics

2020, 2(5): 056002

Reviews

Single-shot compressed ultrafast photography: a review

Download：1063次

Dalong Qi ¹Shian Zhang ^1,2,*Chengshuai Yang ¹Yilin He ¹[ ... ]Lihong V. Wang ^5,*

Author Affiliations

Abstract

¹ East China Normal University, School of Physics and Electric Science, State Key Laboratory of Precision Spectroscopy, Shanghai, China

² Shanxi University, Collaborative Innovation Center of Extreme Optics, Taiyuan, China

³ University of Illinois at Urbana-Champaign, Department of Electrical and Computer Engineering, Urbana, Illinois, United States

⁴ Institut National de la Recherche Scientifique, Centre Énergie Matériaux Télécommunications, Laboratory of Applied Computational Imaging, Varennes, Québec, Canada

⁵ California Institute of Technology, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, Caltech Optical Imaging Laboratory, Pasadena, California, United States

Compressed ultrafast photography (CUP) is a burgeoning single-shot computational imaging technique that provides an imaging speed as high as 10 trillion frames per second and a sequence depth of up to a few hundred frames. This technique synergizes compressed sensing and the streak camera technique to capture nonrepeatable ultrafast transient events with a single shot. With recent unprecedented technical developments and extensions of this methodology, it has been widely used in ultrafast optical imaging and metrology, ultrafast electron diffraction and microscopy, and information security protection. We review the basic principles of CUP, its recent advances in data acquisition and image reconstruction, its fusions with other modalities, and its unique applications in multiple research fields.

ultrafast optical imaging compressed sensing computational imaging single-shot measurement

PDF全文 Full Text

Advanced Photonics

2020, 2(1): 014003

关于本站 Cookie 的使用提示

全站搜索

热点聚焦

学术活动

关于本站 Cookie 的使用提示

全站搜索