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SuperResolution Image Processing Lab.

Sangyoon Lee

sangyoon_lee.jpg


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