Session Index

S4. Optical Information Processing and Holography

Poster Session I
Saturday, Dec. 3, 2022  14:00-16:00
Room: 3F TR-A318
Award Candidate (Paper Competition)
Manuscript ID.  0375
Paper No.  2022-SAT-P0401-P001
Jia-Yi Chen Three-dimensional surface measurement and conductivity analysis of graphene-coated glass
Ya-Chung Cheng, National Taiwan Normal University (Taiwan); Tzu-Hsiang Wei, Jia-Yi Chen, Chinese Culture University (Taiwan); Chung-Hsin Huang, Taipei University of Marine Technology (Taiwan)

Graphene based materials have a variety of excellent properties and applications due to its remarkable electrical conductivity, surface and thermal properties. In this paper, the imaging approach to estimate the physical properties of graphene-coated glass with respect to the change collected on the three-dimensional (3D) surface is proposed. The holographic system is employed for the optical thickness measurement of relevance in the analysis of 3D surface distribution. Numerical and experimental results are performed to determine the change in conductivity of coated graphene which can be directly measured by the 3D imaging of digital holographic microscopy.

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Award Candidate (Paper Competition)
Manuscript ID.  0787
Paper No.  2022-SAT-P0401-P002
Surag Athippillil Suresh Multifocal illumination based confocal fluorescence microscopy using volume holographic grating
Surag Athippillil Suresh, National Tsing Hua University (Taiwan), National Taiwan University (Taiwan); Sunil Vyas, National Taiwan University (Taiwan); J. Andrew Yeh, National Tsing Hua University (Taiwan); Yuan Luo, National Taiwan University (Taiwan)

A multifocal confocal fluorescence microscopic system is designed and developed by incorporating photopolymer (PQ-PMMA) based volume holographic optical element in the illumination path for generating multifocal super Gaussian (SG) beam spots to reduce the scanning time.

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Award Candidate (Paper Competition)
Manuscript ID.  0109
Paper No.  2022-SAT-P0401-P003
Yi-Hung Li Industrial defect detection using generative adversarial neural network and semi-supervised learning
Yi-Hung Li, Ya-Ti Chang Lee, Chung-Hao Tien, National Yung Ming Chiao Tung University (Taiwan)

Anomaly detection, an important task for industrial manufacturing, is aimed to distinguish the rare defects from mass production. We proposed a semi-supervised learning model with generative adversarial network (GAN), where the network learned the latent representations through normal data only. For the purpose of anomaly determination, the threshold was determined by measuring the distances between normal data and abnormal data in the latent space. With preliminary experiment, 99% true positive rate (TPR) under 5% false positive rate (FPR) was achieved on a commercial cosmetic patch dataset.

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Award Candidate (Paper Competition)
Manuscript ID.  0748
Paper No.  2022-SAT-P0401-P004
Chau Minh Nguyen Hong Writing a diffractive geometric phase grating in Photo-aligned liquid crystal cell by polarization holography
Chau Minh Nguyen Hong, Shiuan Huei Lin, National Yang Ming Chiao Tung University (Taiwan); Vera Marinova, Bulgarian Academy of Sciences (Bulgaria), National Yang Ming Chiao Tung University (Taiwan); Ken Y. Hsu, National Yang Ming Chiao Tung University (Taiwan)

We demonstrate the geometric phase writing in a nematic liquid crystal cell by using photo-alignment technique with photopolymer of PAZO. The assembled LC cell can convert an incident circularly light beam into the contrary circularly polarized beam with modulated phase related to the direction of alignment caused from PAZO. Thus, with appropriate designed pattern, novel diffractive waveplate, which provides many unique photonic applications can be written in a LC cell directly. In this paper, we show the comprehensive simulation model to characterize geometric phase property of the LC cell and fabrication of a diffractive geometric phase grating using polarization holography.

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Award Candidate (Paper Competition)
Manuscript ID.  0812
Paper No.  2022-SAT-P0401-P005
Hung-Chuan Hsu Volume hologram as non-diffracted beam shaper for light- sheet microscope
Hung-Chuan Hsu, Sunil Vyas, Kuang-Yuh Huang, Hsien-Shun Liao, Yuan Luo, National Taiwan University (Taiwan)

Volume holograms are known to provide high transmission efficiency, single diffracted order, and compact size. These properties have been utilized for a variety of applications. Volume holography with beam shaping can be utilized for high resolution imaging applications for biological samples. Here, we present an Airy light sheet fluorescence microscope (Airy-LSFM) that uses volume hologram as an Airy beam shaper. Our method is easy to implement and it can provide a larger field of view, deep penetration depth, and better optical sectional capability, which helps measure large biological samples. The imaging performance can be further improved by using deconvolution method.

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Award Candidate (Paper Competition)
Manuscript ID.  0181
Paper No.  2022-SAT-P0401-P006
Chia-Hsiang Wu Increasing data by phase shifting method for a fringe projection scanning profilometer
Chia-Hsiang Wu, National Kaohsiung University of Science and Technology (Taiwan)

A fringe projection profilometer encounters the challenge of noise disturbance due to projection system. In a short depth of field scanning profilometer, a phase shifting method is proposed to increase two dimensional data and to improve the resolution of the scanning fringe projection profilometer.

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Award Candidate (Paper Competition)
Manuscript ID.  0547
Paper No.  2022-SAT-P0401-P007
Yi-Yung Chen Robust angular multiplexing for phase-coding volume holographic data storage
Yi-Yung Chen, Huai-Ming Kuan, Yeh-Wei Yu, Tsung-Hsun Yang, Ching-Cherng Sun, Chih-Yuan Cheng, National Central University (Taiwan)

The diffraction efficiency of traditional holographic storage will decrease as the number of multiplexed pages increases. This research team proposes a set of holographic storage technology to improve the diffraction efficiency of single-point multiplexing when the number of multiplexing pages is limited. Thus, the storage density of holographic storage is improved.

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Award Candidate (Paper Competition)
Manuscript ID.  0606
Paper No.  2022-SAT-P0401-P008
Chia-Jung Cheng Rainbow Hologram by Depth-Added Computer-Generated Holographic Stereogram
Chia-Jung Cheng, Jung-Ping Liu, Feng Chia University (Taiwan)

We combined the rainbow hologram and the depth-added computer-generated hologram to produce a computer-generated rainbow hologram (CGRH), which can display a three-dimensional color image.

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Award Candidate (Paper Competition)
Manuscript ID.  0715
Paper No.  2022-SAT-P0401-P009
Pei-Chi Li Error-controlled decoding in phase unwrapping for phase-shifting projected fringe profilometry
Pei-Chi Li, Sih-Yue Chen, Wei-Hung Su, National Sun Yat-Sen University (Taiwan)

A phase unwrapping method using the error-controlled fringe projection scheme for phase-shifting projected fringe profilometry is presented. Most unwrapping methods can not cope with the problems caused by low signal-to-noise ratios. The presenting method can detect such kind of errors and recover the mistake.

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Award Candidate (Paper Competition)
Manuscript ID.  0213
Paper No.  2022-SAT-P0401-P010
Yi-Cong Gu Development of Photomask Positioning System by Diffraction-based Heterodyne Phase Measurement
Yi-Cong Gu, En-Kai Cao, Hung-Chih Hsieh, National United University (Taiwan)

In this study, photomask positioning system by combing the diffraction-based interferometer and the heterodyne phase measurement was proposed. Since this method used heterodyne phase measurement, the positioning errors caused by ununiform film thickness on the wafer can also be avoided.

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Award Candidate (Paper Competition)
Manuscript ID.  0431
Paper No.  2022-SAT-P0401-P011
Jia-Yi Chen Deep learning in integrated coherent system for three-dimensional composite surface imaging
Jia-Yi Chen, Chinese Culture University (Taiwan); Chung-Hsuan Huang, National Taiwan Normal University (Taiwan); Hui-Ching Chang, Han-Yen Tu, Chinese Culture University (Taiwan)

In this study, we propose a deep learning-based segmentation approach for three-dimensional (3D) composite surface with specular and diffuse regions. The proposed U-net based segmentation has been examined for specular and diffuse images from composite objects. The experimental results show that the proposed method can realize absolute 3D surface measurement and automatic segmentation for 3D composite regions based on integrated coherent system.

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Award Candidate (Paper Competition)
Manuscript ID.  0494
Paper No.  2022-SAT-P0401-P012
Sheng-Yuan Zhang Signal Processing of Absolute Optical Rotary Encoder Using Real-Time Imaging System
Yu-Wei Chuang, Hsi-Fu Shih, Sheng-Yuan Zhang, National Chung Hsing University (Taiwan)

This study proposes a real-time imaging system, which uses an image sensor to capture retrieving light spot images of an absolute optical rotary encoder, converts the images into coding signals, and outputs corresponding coding angles. The research contribution could be applied to real-time verification of signals in the developing stage of absolute optical rotary encoders, so as to skip the complex steps for specific photodetector design and fabrication.

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Award Candidate (Paper Competition)
Manuscript ID.  0794
Paper No.  2022-SAT-P0401-P013
Chen-Ming Tsai Simulated-Annealing Binary Search for Binary Computer-Generated Holograms
Chen-Ming Tsai, Feng Chia University (Taiwan), National Taiwan University (Taiwan); Jung-Ping Liu, Feng Chia University (Taiwan)

The display quality of a binary computer-generated hologram (BCGH) is usually low because of the high loss of information in the binarization. Here we purpose a new method, simulated-annealing binary search (SABS) algorithm to produce high-quality BCGHs.

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Award Candidate (Paper Competition)
Manuscript ID.  0871
Paper No.  2022-SAT-P0401-P014
Kun-Wei Chao Thickness measurement of optical plates using Michelson interferometry
Kun-Wei Chao, National Kaohsiung University of Science and Technology (Taiwan)

In this research, two different interferometry results were used to calculate the thickness of the optical plate, the first was the spectrally resolved white light interferometry technique, and the second was the laser interferometry technique. The measured data was compared with the theoretical value using the MATLAB program to further obtain the thickness of the optical plate.

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Manuscript ID.  0357
Paper No.  2022-SAT-P0401-P015
Ssu-Chia He Compact incoherent digital holographic camera based on common path architecture
Yu-Chih Lin, Che-We Chen, Department of Photonics (Taiwan); Ssu-Chia He, Chau-Jern Cheng, Institute of Electro-Optical Engineering (Taiwan)

We proposed and demonstrated a novel method of an incoherent digital holographic camera. The compact system designed for the incoherent digital holographic camera was contributed by a modified common path architecture in the camera imaging system. The three-dimensional human face object would be directly obtained in a single shot without a stable optical table environment.

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Manuscript ID.  0364
Paper No.  2022-SAT-P0401-P016
Chun-Yi Chang Study on optimum brewing conditions of black tea by absorption spectrometry
Chun-Yi Chang, Wei-Zhe Wang, Chen-Wei Huang, Cheng-Chih Hsu, National United University (Taiwan)

In this study, the optimal brewing water temperature and brewing time for the content
of theaflavin were found by analyzing the absorption spectrum of the black tea soup, the
brewing time of the tea leaves, and the temperature of the brewing water. The results show that
the optimal brewing temperature is 85 °C and the brewing time is 2 minutes, which has the
highest theaflavin content.

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Manuscript ID.  0370
Paper No.  2022-SAT-P0401-P017
Wei Zhe Sun Properties of Holographic Recording on S1813 Photoresist Thin Film
Wei Zhe Sun, Shiuan Huei Lin, National Yang Ming Chiao Tung University (Taiwan)

In this paper, we will present our studies on the fabrication of holographic optical elements using photoresist S1813. The holographic elements are recorded by using two-beam interfering lithographic method on S1813 spin coated glass substrate so that it is possible to achieve high diffraction efficiency in micro-meter thick thin film due to the huge refractive index difference between polymer and air. We will present how to make high quality thin film for performing holographic recording on S1813 spin-coated glass and we will also demonstrate the fabrication of a holographic waveguide for AR applications

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Manuscript ID.  0392
Paper No.  2022-SAT-P0401-P018
Ying-Pin Tsai Analysis of Surface Relief Grating Waveguide Based on Finite Element Method
Ying-Pin Tsai, Wen-Kai Lin, Bor-Shyh Lin, National Yang Ming Chiao Tung University (Taiwan); Fu-Li Hsiao, Wei-Chia Su, National Changhua University of Education (Taiwan)

In recent years, head-mounted displays have received growing attention and lots of applications are presented. To miniaturize the devices, diffractive waveguide devices are the best solutions. We investigated relief grating through the finite element method rather than the traditional rigorous coupled-wave analysis. The depth and the tilt angle of the slits are considered in different incident angles and show the ability to inhibit the −1 order.

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Manuscript ID.  0492
Paper No.  2022-SAT-P0401-P019
Pin-Yu Lai An optical system for measuring liquid concentration using phase-enhanced total-internal-reflection heterodyne interferometry
Pin-Yu Lai, Jiun-You Lin, National Changhua University of Education (Taiwan)

This paper proposes an optical system for measuring liquid concentration using phase-enhanced total-internal-reflection (TIR) interferometry. In the proposed system, liquid concentration can be determined by measuring the phase difference between the s- and p- polarized states of a beam totally reflected from a phase-enhanced TIR apparatus with a tested solution. The method produced the measurement resolution and sensitivity better than 0.4 mg/dl and 0.08 deg (dl/ mg),

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Award Candidate (Paper Competition)
Manuscript ID.  0809
Paper No.  2022-SAT-P0401-P020
Yu-Ting Chou Homemade Acoustic Camera
Yu-Ting Chou, Te-Yuan Chung, Chun-Yen Cheng, National Central University (Taiwan)

Acoustic camera visualize sound using microphone array in the space to acquire sound signal at different positions. With Huygens-Fresnel principle and Kirchhoff integral theorem, the acoustic field distribution in space and time can be reconstructed as well as the source location.

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Award Candidate (Paper Competition)
Manuscript ID.  0845
Paper No.  2022-SAT-P0401-P021
Pin-Duan Huang Study of the High-Speed Imaging Communication System
Pin-Duan Huang, Chen-Yu Chen, Yeh-Wei Yu, Tsung-Hsun Yang, Ching-Cherng Sun, Notional Central University (Taiwan)

Recently, almost all communication systems on the market use radio waves to transmit information, although there are also papers using visible light as the transmission medium. In light transmission, most published papers use laser light as the output, few papers use Micro LEDs as the output, and they only use a small number of light sources to transmit information by adjusting the frequency and amplitude. Therefore, we hope to design a new communication system with the characteristic of Micro LEDs being able to switch between on and off at a fast speed to provide 5G or even 6G communication.

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Manuscript ID.  0247
Paper No.  2022-SAT-P0401-P022
Yue-Jhe Tsai Development of Surface Profile Measurement Based on Instantaneous Polarization Interferometry
Yue-Jhe Tsai, Ju-Yi Lee, National Central University (Taiwan)

In this study, a surface profile measurement based on interferometry as well as polarization interferometry with polarization cameras was introduced. By analyzing the relationship between the density of interference fringes and the angle between the measurement surface and the reference surface, the surface profile measurement under the minimum number of interference fringes can be calculated. The measuring range of the system is 80 mm in diameter.

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Manuscript ID.  0253
Paper No.  2022-SAT-P0401-P023
Yu-Cheng Kuo Solar photovoltaic module recycling and sorting system based on thermal image machine vision
Yu-Cheng Kuo, Hsien-Ho Cho, Ju-Yi Lee, National Central University (Taiwan)

In this study, a solar photovoltaic module recycling and sorting system based on thermal imaging machine vision was designed. The solar photovoltaic modules after thermal cracking were sorted through the combination of thermal imaging and mechanism control. The sorting accuracy for glass and silicon substrates are 90%.

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Manuscript ID.  0395
Paper No.  2022-SAT-P0401-P024
Chih-Yuan Huang Study on Photo-induced Anisotropy of PQ/PMMA Polymer Using Polarization Holography
Chih-Yuan Huang, Shiuan-Huei Lin, National Yang Ming Jiaotong University (Taiwan); Ken Y. Hsu, National Yang Ming Chiao Tung University (Taiwan); Vera Marinova, Optical Materials and Technologies (Bulgaria)

Materials exhibiting photo-induced birefringence are interested in many possible applications of optical information processing and storage. The PQ/PMMA, a kind of doped photopolymer consists of polarization-selectively absorbing PQ molecules dispersed in an amorphous PMMA polymer, and thus can undergo anisotropic photodissociation by linearly polarized light, resulting in photoinduced birefringence. In this article, we will discuss the effect of light-controlled photo-birefringence in PQ/PMMA photopolymers and discuss the correlation coefficients of the induced birefringence properties.

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Manuscript ID.  0060
Paper No.  2022-SAT-P0401-P025
Guo-Feng Luo Using You Only Look Once (YOLO) Neural Network to Improve Face Recognition Speed for the FaceNet System
Guo-Feng Luo, Hsiao-Yi Lee, National Kaohsiung University of Sciences and Technology (Taiwan); Hsin-Yi Ma, Minghsin University of Science and Technology (Taiwan)

FaceNet is a face recognition framework proposed by Google in 2015. Rapid advances in deep learning hardware, software, and technology enable the development of more face recognition techniques. The You Only Look Once (YOLO) is a fast deep learning object detection framework. Implementing the YOLO neural network in a face recognition algorithm should significantly improve the recognition speed. For this purpose, the feasibility of replacing multi-task cascaded convolutional networks (MTCNN) with YOLOv5 to detect human faces was explored. The results showed that YOLOv5 was very effective in detecting faces and reducing the recognition time, thus demonstrating a promising prospect.

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Manuscript ID.  0699
Paper No.  2022-SAT-P0401-P026
Huang-Tian Chan Application of Convolutional Neural Networks (CNN) to Digital Holography for Information Decryption
Huang-Tian Chan, Mei-Fang Chou, Chi-Ching Chang, Ming Dao University (Taiwan)

In this paper, we present the feasibility of using convolutional neural networks (CNNs) for information decryption in digital holography. We established a deterministic phase-encoded encryption system based on digital holography. The original image is made into an encrypted hologram and used as ciphertext. The CNN model can be trained by using the ciphertext and its corresponding original image. The trained CNN model is employed to predict the original image. Experimental results show that the trained CNN model can generate plaintext from ciphertext. According to the simulation results of this study, CNN is a feasible method for evaluating information security.

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Manuscript ID.  0068
Paper No.  2022-SAT-P0401-P027
Ping-En Tsai Vehicle Location Recognition and Intelligent Vehicle Search System by using YOLO V4 Neural Network
Ping-En Tsai, Guo-Feng Luo, Hsiao-Yi Lee, National Kaohsiung University of Sciences and Technology (Taiwan); Hsin-Yi Ma, Minghsin University of Science and Technology (Taiwan)

YOLO (You Only Look Once) neural network is an object detection-like neural network roadmap algorithm implemented in darknet architecture, which has the advantages of light weight and high efficiency. This research is applied to the identification of the remaining parking spaces in the parking lot and the intelligent car search system. The results show that yolo can identify the position of the vehicle with accuracy of 99.72%.

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