Optical classification and reconstruction through multimode fibers

PLUTO / PLUTO-2 Spatial Light Modulators
Deep Learning / Neuronal Network Optical Communication Turbid-/ Opaque Media /Multi Scattering
Published on:
Authors: Kürekci, Şahin
Abstract:
“When a light beam travels through a highly scattering medium, two-dimensional random intensity distributions (speckle patterns) are formed due to the complex scattering within the medium. Although they contain valuable information about the input signal and the characteristics of the propagation medium, the speckle patterns are difficult to unscramble, which makes imaging through scattering media an extremely challenging task. Multimode fibers behave similarly to scattering media since they scramble the input information through modal dispersion and create speckle patterns at the distal end. Because multimode fibers are compact and low-cost structures with the ability to transmit large amounts of data simultaneously for long distances, decoding the speckle patterns formed by a multimode fiber and reconstructing the input information has great implications in a wide range of applications, including fiber optic communication, sensor technology, optical imaging, and invasive biomedical applications such as endoscopy. In this thesis, we decode the speckle patterns and reconstruct the input information on the proximal end of a multimode fiber in three different scenarios. Our choice of input signals consists of numbers encoded as binary digits, handwritten letters, and optical frequencies. We train a deep learning model to classify and reconstruct the handwritten letters, while for the rest of the cases, we construct a transmission matrix between the input signals and the output speckle patterns, and solve the inverse propagation equation algebraically. In all cases, the relation between a speckle pattern and the corresponding input signal is learned with low error rates; thus, the signals are classified and reconstructed successfully using the speckle patterns they created. Classifying digits, letters, or images with speckle information aims to build useful systems in optical imaging, communication, and cryptography, while the classification of optical frequencies paves the way for building novel spectrometers. In addition to replicating the currently existing compact, low-budget, and high-resolution multimode fiber spectrometer, we also build a single-pixel fiber spectrometer in order to increase the compactness on the detection side and expand the application areas of the system. The single-pixel spectrometer we offer is based on the integrated intensity measurements of a fixed target region, where the light is focused by shaping the wavefront with a spatial light modulator. Spatial light modulators and wavefront shaping techniques are also utilized in other classification tasks in this thesis to generate the desired input signals.”

Open Access

Publication: Middle East Technical University, Thesis
Issue/Year: Graduate School of Natural and Applied Sciences, Thesis, 2022
DOI: https://hdl.handle.net/11511/101287
Link: https://hdl.handle.net/11511/101287

Related Papers

GAEA Spatial Light Modulators
Authors:Han Gao, Haifeng Hu, and Qiwen Zhan

Generation and applications of spectral-spatially correlated principal mode in multimode fibers

Applications: Complex Modulation,Optical Communication
PLUTO / PLUTO-2 Spatial Light Modulators
Authors:Zejian Ren, Xu Yan, Kai Wen, Huijin Chen, Elnur Hajiyev, Chengdong He, Gyu-Boong Jo

Creation of a tweezer array for cold atoms utilizing a generative neural network

Applications: Deep Learning / Neuronal Network,Optical Trapping /-Tweezers
GAEA Spatial Light Modulators
Authors:Kaibo Yang, Hao Luo, Yidan Zhang, Peng Li, Feng Wen, Yuzong Gu, Zhenkun Wu

Modulating and identifying an arbitrary curvilinear phased optical vortex array of high-order orbital angular momentum

Applications: Complex Modulation,Higher Order Modes / Optical Vortex / OAM,Optical Communication
LC 2012 Spatial Light Modulators
Authors:Matsuda, Naoki; Tanida, Jun; Naruse, Makoto; Horisaki, Ryoichi

Noninvasive holographic imaging through dynamically scattering media

Applications: Turbid-/ Opaque Media /Multi Scattering
HES / HEO 6001 PLUTO / PLUTO-2 Spatial Light Modulators
Authors:Zicheng Huang, Ziyu Gu, Mengyang Shi, Yesheng Gao, and Xingzhao Liu

OP-FCNN: an optronic fully convolutional neural network for imaging through scattering media

Applications: Deep Learning / Neuronal Network,Turbid-/ Opaque Media /Multi Scattering
PLUTO / PLUTO-2 Spatial Light Modulators
Authors:Dejin Zhang, Wei Sheng, Yaoyao Shi, and Youwen Liu

Imaging objects hidden inside the strongly scattering media based on bidirectional ghost imaging

Applications: Imaging/ Image Processing,Turbid-/ Opaque Media /Multi Scattering
GAEA Spatial Light Modulators
Authors:Jesper Glückstad, Andreas Erik Gejl Madsen

HoloTile Light Engine: New Digital Holographic Modalities and Applications

Applications: Adaptive Optics / Wavefront Control,Beam Shaping / Beam Steering,Materials Processing / Optical Fabrication,Optical Communication,Optical Trapping /-Tweezers
PLUTO / PLUTO-2 Spatial Light Modulators
Authors: Grace Kuo , Florian Schiffers , Douglas Lanman , Oliver Cossairt , Nathan Matsuda

Multisource Holography

Applications: AR/VR/MR / Holographic Display,Deep Learning / Neuronal Network,Digital-/ Computer Holography/ CGH
PLUTO / PLUTO-2 Spatial Light Modulators
Authors:Zheyu Wu, Ran Gao, Sitong Zhou, Fei Wang, Zhipei Li, Huan Chang, Dong Guo, Xiangjun Xin, Qi Zhang, Feng Tian, Qiang Wu

Robust Super-Resolution Image Transmission Based on a Ring Core Fiber with Orbital Angular Momentum

Applications: Deep Learning / Neuronal Network,Higher Order Modes / Optical Vortex / OAM,Imaging/ Image Processing
LC 2012 Spatial Light Modulators
Authors:ZhongYe Ji, Jun Chang, JunYa Wang, YuNan Wu, Yang Liu, and HuiLin Jiang

Multilevel holographic encryption based on the Tiger Amulet concept

Applications: Optical Communication
PLUTO / PLUTO-2 Spatial Light Modulators
Authors:Sitong Huang, Jian Wang, Daixuan Wu, Yin Huang, and Yuecheng Shen

Projecting colorful images through scattering media via deep learning

Applications: Deep Learning / Neuronal Network
PLUTO / PLUTO-2 Spatial Light Modulators
Authors:Qingwei Liu, Jing Chen, Bingsen Qiu, Yongtian Wang, and Juan Liu

DCPNet: a dual-channel parallel deep neural network for high quality computer-generated holography

Applications: AR/VR/MR / Holographic Display,Complex Modulation,Deep Learning / Neuronal Network,Digital-/ Computer Holography/ CGH
PLUTO / PLUTO-2 Spatial Light Modulators
Authors:Jia, Qi, Zhang, Yanxia, Shi, Bojian, Li, Hang, Li, Xiaoxin, Feng, Rui, Sun, Fangkui, Cao, Yongyin, Wang, Jian, Qiu, Cheng-Wei and Ding, Weiqiang

Vector vortex beams sorting of 120 modes in visible spectrum

Applications: Higher Order Modes / Optical Vortex / OAM,Optical Communication
PLUTO / PLUTO-2 Spatial Light Modulators
Authors:Wang, X.; Yu, X.; Yang, T.; Ruan, C.; Gao, S.; Ma, L.

Fresnel Lens Array-Based Phase Mask Location Method for Adjustable Multi-Pass Cavity

Applications: Optical Communication
PLUTO / PLUTO-2 Spatial Light Modulators
Authors:Marshall B. Lindsay, Scott D. Kovaleski, Andy G. Varner, Charlie T. Veal, Derek T. Anderson, Stanton R. Price, and Steven R. Price

End-to-end physics-informed deep neural network optimization of sub-Nyquist lenses

Applications: Deep Learning / Neuronal Network
PLUTO / PLUTO-2 Spatial Light Modulators
Authors:Jianan Feng, Hang Chen, Dahai Yang, Junbo Hao, Jie Lin, and Peng Jin

Multi-wavelength diffractive neural network with the weighting method

Applications: Deep Learning / Neuronal Network
PLUTO / PLUTO-2 Spatial Light Modulators
Authors:Alvaro Alarcón, Santiago Gómez, Daniel Spegel-Lexne, Joakim Argillander, Jaime Cariñe, Gustavo Cañas, Gustavo Lima, and Guilherme B. Xavier

All-in-Fiber Dynamically Reconfigurable Orbital Angular Momentum Mode Sorting

Applications: Higher Order Modes / Optical Vortex / OAM,Optical Communication
PLUTO / PLUTO-2 Spatial Light Modulators
Authors:Zhang, Yantong, Huiling Huang, Feibin Wu, Jun Han, Yi Yang, and Ruyi Li

Imaging through a Scattering Medium under Different Intensities of Ambient Light Interference

Applications: Deep Learning / Neuronal Network,Imaging/ Image Processing,Turbid-/ Opaque Media /Multi Scattering
PLUTO / PLUTO-2 Spatial Light Modulators
Authors:Allarakha Shikder and Naveen K. Nishchal

Image encryption using binary polarization states of light beam

Applications: Optical Communication,Polarization Generation
PLUTO / PLUTO-2 Spatial Light Modulators
Authors:Jiangcheng Zhao, Chuanbiao Bai, Zhiguo Zhang and Qingchuan Zhang

Deep learning-based method for analyzing the optically trapped sperm rotation

Applications: Deep Learning / Neuronal Network,Optical Trapping /-Tweezers
PLUTO / PLUTO-2 Spatial Light Modulators
Authors:Ruibo Shang, Mikaela A. O’Brien, Fei Wang, Guohai Situ & Geoffrey P. Luke

Approximating the uncertainty of deep learning reconstruction predictions in single-pixel imaging

Applications: Deep Learning / Neuronal Network
GAEA Spatial Light Modulators
Authors:Ninghe Liu, Zhengzhong Huang, Zehao He, and Liangcai Cao

DGE-CNN: 2D-to-3D holographic display based on a depth gradient extracting module and ZCNN network

Applications: AR/VR/MR / Holographic Display,Deep Learning / Neuronal Network
GAEA Spatial Light Modulators
Authors:Li, Baoli / Su, Hang / Meng, Weijia / Cheng, Ke / Luan, Haitao / Gu, Min / Fang, Xinyuan

Orbital angular momentum holographic multicasting for switchable and secure wireless optical communication links

Applications: Beam Shaping / Beam Steering,Higher Order Modes / Optical Vortex / OAM,Optical Communication
PLUTO / PLUTO-2 Spatial Light Modulators
Authors:Zhu, Jialong / Zou, Fucheng / Wang, Le / Lu, Xiaodong / Zhao, Shengmei

Multiplexing Perfect Optical Vortex for Holographic Data Storage

Applications: Deep Learning / Neuronal Network,Digital-/ Computer Holography/ CGH,Higher Order Modes / Optical Vortex / OAM