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Manuscript ID. 0424
Paper No. 2023-SUN-P0403-P001
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Zhen-Wei Wu
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Scratch Hologram made by CNC engraving machine
Zhen-Wei Wu, Jung-Ping Liu, Feng Chia University (Taiwan)
Scratches at specific locations on a smooth surface can produce three-dimensional bright spots, which is called scratch stereograms. Here, we took points from the input 3D model and calculated the location and orientation of the scratches. The scratch stereogram is fast fabricated on a plate by CNC engraving.
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Manuscript ID. 0827
Paper No. 2023-SUN-P0403-P002
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Zong-Han Yang
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Implementation of Holographic Near-eye Displays Using Phase-mode Spatial Light Modulator and Holographic Optical Lens
Chung-Wei Chen, Zong-Han Yang, Zhi-Chan Yu, Wei-Feng Hsu, National Taipei University of Technology (Taiwan)
This paper presents a prototype of near-eye display device, containing a fiber source, a liquid-crystal-on-silicon spatial light modulator (LCoS-SLM), and a holographic optical lens (HOL). The total length of the presented apparatus from a fiber source to the LCoS-SLM is about 12 cm and the projected image was observed 25 cm behind the LCoS-SLM. The image is created from a diffractive optical element (DOE) displayed on the LCoS-SLM. The DOE is calculated by iterative Fourier transform algorithm (IFTA) followed by multiplied with a quadratic phase term to mimic a convergent lens.
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Manuscript ID. 0458
Paper No. 2023-SUN-P0403-P003
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Yu-Jen Chen
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Determining Heart Rate Using CNN-based Feature Tracking on Features of Cardiac Surface Vessels
Yu-Jen Chen, Yu-Hsin Yang, National Applied Research Laboratories (Taiwan), National Taiwan University (Taiwan); Guo-Hao Lu, Chao-Feng Liu, Chun-Jen Weng, National Applied Research Laboratories (Taiwan); Chun-We Lai, National Tsing Hua University (Taiwan); Rong-Qing Qiu, Chi-Hung Hwang, National Applied Research Laboratories (Taiwan)
This study provides a method for tracking features on cardiac surface vessels for determining the heart rate by applying convolutional neural networks (CNN). We designed a complete procedure to accomplish this task, which includes image preprocessing, CNN model training, and sliding windows algorithm for feature finding. We tracked two features accurately and estimated the heart rate by analyzing the distance between them. This research explores the implementation of deep learning for extracting heart behaviors from a series of recorded medical images and the potential advancements in cardiac dynamic analysis and surgery monitoring.
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Manuscript ID. 0759
Paper No. 2023-SUN-P0403-P004
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Hung-Chuan Hsu
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Comparative study of deconvolution methods for optical imaging system
Hung-Chuan Hsu, Sunil Vyas, Kuang-Yuh Huang, Hsien-Shun Liao, Yuan Luo, National Taiwan University (Taiwan)
In this work, we perform a systematic study of different deconvolution techniques, namely Wiener, Richardson-Lucy (RL), and the innovative Richardson-Lucy with total variation (RLTV), and compare their performance. Our results indicate that RL deconvolution outperforms Wiener regarding contrast enhancement and drastically improves image quality. RLTV is effective, efficient, and accurate, which may find important applications in high-resolution imaging.
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Manuscript ID. 0484
Paper No. 2023-SUN-P0403-P005
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Zi-Hua Wang Zi-Hua Wang
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Numerical Simulation Analysis of the Relative Rotation Angle and Relative Period Ratio of Moiré Patterns
Zi-Hua Wang Zi-Hua Wang, Yan-Yu Chen Yan-Yu Chen, You-Yun Ma You-Yun Ma, Jing-Heng Chen Jing-Heng Chen, Feng Chia University (Taiwan)
The Moiré effect is a frequently employed image processing technique in optical measurements. In this paper, we employ MATLAB programming to numerically simulate and analyze the interference patterns of Moiré fringes based on the relative rotational angles and relative period ratios. Gaining insight into these Moiré pattern characteristics will aid in the application and development of digital Moiré effect measurement technologies.
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Manuscript ID. 0824
Paper No. 2023-SUN-P0403-P006
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Yi-Yu Chou
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Application of Near-field Diffractive Optical Elements to Diffractive Additive Manufacturing for Transparent Materials
Fu-Hsiang Chan, Yi-Yu Chou, Min-Feng Chen, Wei-Feng Hsu, National Taipei University of Technology (Taiwan)
In this study, a 532nm green laser projects diffractive optical elements (DOE) in a spatial light modulator (SLM) to produce multiple 2D images separated in different spatial layers. Each layer's DOE was created using the iterative angular spectrum algorithm (IASA) for imaging in optical near field. Several techniques were employed to improve the image quality: Image shifting separates target shapes from SLM's reflection, temporal superposition reduces the speckle noise, and grayscale integration improves object continuity. The process shapes target objects using high-transparency resin, offering benefits of internal visualization, vertical continuity, and efficiency despite limited vertical variation and operational experience requirements.
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Manuscript ID. 0836
Paper No. 2023-SUN-P0403-P007
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Kuang-Lei Huang
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Inspection of the semiconductors defects with computational refocusing algorithm and volumetric optical coherence tomography imaging
Kuang-Lei Huang, Po-Hao Tseng, Ting-Hao Chen, National Taiwan University (Taiwan); Hao-Chung Kuo, National Yang Ming Chao Tung University (Taiwan); Yasuno yoshiaki, University of Tsukuba (Japan); Hsiang-Chieh Lee, National Taiwan University (Taiwan)
Defects in compound semiconductor wafers may affect the lifetime as well as decrease the performance of the power devices. Therefore, in this study, we demonstrated a computational refocusing algorithm in combination with a high-resolution swept-source optical coherence tomography (SS-OCT) system setup to enhance the contrast of the defect images in silicon carbide (SiC) wafer. The location, distribution, and size of defects, including macro pits, stacking faults, micropipes, and particle inclusions, were analyzed quantitatively.
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Manuscript ID. 0860
Paper No. 2023-SUN-P0403-P008
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Ru-Jyun Wei
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Reverse Construction of Semiconductor Finfet-fin Structure Based on Spectral Information with Deep Learning Model
Han Chen, Ru-Jyun Wei, Yung-Chiang Lan, National Cheng Kung University (Taiwan)
This work focuses on using deep neural networks for reconstructing structural parameters from spectral information. RCWA MATLAB code is used to simulate spectral signals (Psi and Delta) for different FinFET-Fin parameters. Simulated ellipsometric scatterometer data is utilized to train the inverse neural network (INN) by using PyTorch. The INN extracts critical features through convolution, aiming to predict accurate structural parameters by comparing outputs with actual values. On the other hand, contrary to INN, the forward neural network (FNN) predicts spectra based on structural parameters through transposed convolutions.
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Manuscript ID. 0934
Paper No. 2023-SUN-P0403-P009
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Sunil Vyas
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Anisotropic Edge Contrast Enhancement Filters
Sunil Vyas, Yuan Luo, National Taiwan University (Taiwan)
The edge contrast enhancement can be explained using Hilbert and fractional Hilbert transforms. Implementation of spiral phase filtering can be performed experimentally or by image post-processing. Here, we performed a systematic study to demonstrate the effect of the order of phase singularity of the spiral phase mask on edge contrast enhancement. The effect is demonstrated using the simulation. It is observed that by continuously varying the order of phase singularity, the edge enhancement can be altered in a systematic manner. A continuous change of enhancement can be achieved from an anisotropic left to perfectly isotropic to an anisotropic right edge.
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Manuscript ID. 1029
Paper No. 2023-SUN-P0403-P010
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Hsin-Yen Chiang
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Study on Exposure Conditions Affecting the Diffraction Efficiency of PQ/PMMA Volume Bragg Gratings
Hsin-Yen Chiang, Te-Yuan Chung, National Central University (Taiwan)
Using a 532nm green light laser as the recording light for intermittent exposure of the PQ/PMMA material through the two-beam interference method. This process can create periodic refractive index change structures in PQ/PMMA. Subsequently, detecting the diffraction efficiency by changing the light intensity, exposure time, and diffusion time, while also determining how they affect the diffraction efficiency. Finally, with the above experiment, the diffusion coefficient of PQ molecules will be found.
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Manuscript ID. 1121
Paper No. 2023-SUN-P0403-P011
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Dina Grace Calbero Banguilan
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2D Mapping of Optical Vortices
Dina Grace Calbero Banguilan, Nathaniel Hermosa, University of the Philippines Diliman (Philippines)
In this work, we demonstrate a technique to detect the positions of vortices using a digital micromirror device as a scanning triangular aperture and by measuring the intensity at the center of a pattern using a digital pinhole.
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