Mr. Minkyu Park Profile

Minkyu Park

at Yonsei Univ

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Publications (8)

Proceedings Article | 16 February 2012 Paper

Sensitivity enhancement of in-line chemical sensing device with C-type fiber and photonic crystal fiber

Sahar Hosseinzadeh Kassani, Jiyoung Park, Minkyu Park, Kyunghwan Oh

Proceedings Volume 8237, 82371Z (2012) https://doi.org/10.1117/12.907887

KEYWORDS: Photonic crystal fibers, Biological and chemical sensing, Sensors, Absorption, Gas sensors, Gases, Finite element methods, Fiber optics sensors, Single mode fibers, Chemical analysis

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Proceedings Article | 17 May 2011 Paper

Micro fluidic channel actuator using optical force induced by evanescent field material coupling

Honggu Choi, Woosung Ha, Minkyu Park, Kyunghwan Oh

Proceedings Volume 7753, 775359 (2011) https://doi.org/10.1117/12.886038

KEYWORDS: Geometrical optics, Refractive index, Microfluidics, Liquids, Channel projecting optics, Waveguides, Optical fibers, Single mode fibers, Head, Actuators

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Proceedings Article | 16 May 2008 Paper

Long-range quasi-distributed high temperature sensing based on fiber Bragg grating imbedded in high thermal conductive sheath cable

W. Ha, J. Kim, M. Park, A. Csipkes, K. Oh

Proceedings Volume 7004, 700465 (2008) https://doi.org/10.1117/12.787175

KEYWORDS: Fiber Bragg gratings, Temperature sensors, Sensors, Optical fibers, Nitrogen, Temperature metrology, Sensing systems, Thermal sensing, Rayleigh scattering, Fiber optics sensors

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SPIE Journal Paper | 1 November 2007

Regularized high-resolution image reconstruction considering inaccurate motion information

Min Kyu Park, Moon-Gi Kang, Aggelos Katsaggelos

OE, Vol. 46, Issue 11, 117004, (November 2007) https://doi.org/10.1117/12.10.1117/1.2802611

KEYWORDS: Reconstruction algorithms, Motion estimation, Image restoration, Error analysis, Optical engineering, Lawrencium, Motion analysis, Drug discovery, Algorithm development, Distortion

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SPIE Journal Paper | 1 October 2006

Edge-dependent interpolation-based deinterlacing using edge patterns

Min Park, Min Byun, Jong Hyun Park, Moon Gi Kang

JEI, Vol. 15, Issue 04, 043003, (October 2006) https://doi.org/10.1117/12.10.1117/1.2360696

KEYWORDS: Digital filtering, Visualization, Motion estimation, Telecommunications, Electronics engineering, Failure analysis, Video, Televisions, Linear filtering, Motion models

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SPIE Journal Paper | 1 February 2002

Discrete cosine transform based high-resolution image reconstruction considering the inaccurate subpixel motion information

Min Park, Eun Lee, Jin Park, Moon Gi Kang, Jaihie Kim

OE, Vol. 41, Issue 02, (February 2002) https://doi.org/10.1117/12.10.1117/1.1431552

KEYWORDS: Image restoration, Reconstruction algorithms, Optical engineering, Distortion, Digital image processing, Image deconvolution, Motion analysis, Image processing, Image resolution, Motion estimation

Proceedings Article | 29 December 2000 Paper

Spatially adaptive regularized iterative high-resolution image reconstruction algorithm

Won Bae Lim, Min Park, Moon Gi Kang

Proceedings Volume 4310, (2000) https://doi.org/10.1117/12.411797

KEYWORDS: Image registration, Image resolution, Reconstruction algorithms, Image restoration, Image processing, Image acquisition, Sensors, Imaging systems, Spatial resolution, Error analysis

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High resolution images are often required in applications such as remote sensing, frame freeze in video, military and medical imaging. Digital image sensor arrays, which are used for image acquisition in many imaging systems, are not dense enough to prevent aliasing, so the acquired images will be degraded by aliasing effects. To prevent aliasing without loss of resolution, a dense detector array is required. But it may be very costly or unavailable, thus, many imaging systems are designed to allow some level of aliasing during image acquisition. The purpose of our work is to reconstruct an unaliased high resolution image from the acquired aliased image sequence. In this paper, we propose a spatially adaptive regularized iterative high resolution image reconstruction algorithm for blurred, noisy and down-sampled image sequences. The proposed approach is based on a Constrained Least Squares (CLS) high resolution reconstruction algorithm, with spatially adaptive regularization operators and parameters. These regularization terms are shown to improve the reconstructed image quality by forcing smoothness, while preserving edges in the reconstructed high resolution image. Accurate sub-pixel motion registration is the key of the success of the high resolution image reconstruction algorithm. However, sub-pixel motion registration may have some level of registration error. Therefore, a reconstruction algorithm which is robust against the registration error is required. The registration algorithm uses a gradient based sub-pixel motion estimator which provides shift information for each of the recorded frames. The proposed algorithm is based on a technique of high resolution image reconstruction, and it solves spatially adaptive regularized constrained least square minimization functionals. In this paper, we show that the reconstruction algorithm gives dramatic improvements in the resolution of the reconstructed image and is effective in handling the aliased information. The proposed algorithm is also shown to be robust in the presence of severe registration error. Experimental results are provided to illustrate the performance of the proposed reconstruction algorithm. Comparative analyses with other reconstruction methods are also provided.

Proceedings Article | 7 April 1998 Paper

High-performance uncooled MQW DFB lasers at 1.3 um for OC-12 transmitter modules

Jung Kang, K. Oh, Seung Jo Jeong, Sung-Hak Chun, Jun-Ho Koh, Min Park, Y. Sin

Proceedings Volume 3284, (1998) https://doi.org/10.1117/12.304442

KEYWORDS: Transmitters, Temperature metrology, Fiber lasers, Laser applications, Laser optics, Quantum wells, Wet etching, Oxides, Eye, High power lasers

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Showing 5 of 8 publications

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