Sangyoon Lee
PERSONAL INFORMATION
E-mail : sangyoonlee@yonsei.ac.kr
RESEARCH INTERESTS
Denoising
CURRENT
삼성전자 종합기술원
EDUCATIONAL BACKGROUND
Ph.D. degree in EE from Yonsei University, Seoul, Korea. (2012.3 - 2022.2)
B.S. degree in EE from Yonsei University, Seoul, Korea. (2005.3 - 2012.2)
PAPERS
- Poisson-Gaussian Noise Reduction for X-ray Images based on Local Linear Minimum Mean Square Error Shrinkage in Nonsubsampled Contourlet Transform Domain
Sangyoon Lee and Moon Gi Kang
IEEE Access, vol. 9, Jul. 2021. - Poisson-Gaussian Noise Analysis and Estimation for Low-dose X-ray Images in the NSCT Domain
Sangyoon Lee, Min Seok Lee, and Moon Gi Kang
Sensors, vol. 18, no. 4, pp. 1019, Apr. 2018. - Motion-adaptive 3D Nonlocal Means Filter Based on Stochastic Distance for Low-dose X-ray Fluoroscopy
Min Seok Lee, Sang Wook Park, Sang Yoon Lee, and Moon Gi Kang
Biomed. Signal Process. Control, vol. 38, no. 8, pp. 74-85, Sep. 2017. - Patch-based image despeckling using low-rank hankel matrix approach with speckle level estimation
Hansol Kim, Paul Oh, Sangyoon Lee, and Moon Gi Kang
IS&T Electronic Imaging, Burlingame, California, Jan. 2019. Joint demosaicking and integer-ratio downsampling algorithm for color filter array image
Sangyoon Lee and Moon Gi Kang
IS&T/SPIE Electronic Imaging, San Francisco, California, Feb. 2015.- 영상 축소 방법과 결합된 컬러 보간 알고리즘
이상윤, 강문기
대한전자공학회 추계학술대회, 한양대학교, 2014년 11월.
PROJECTS