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SuperResolution Image Processing Lab.

Haegeun Lee

haegeun_lee.jpg


PERSONAL INFORMATION

  E-mail : 0397lee@naver.com


RESEARCH INTERESTS

  Image Deconvolution, Super-resolution Reconstruction


CURRENT

  삼성전자 MX사업부


EDUCATIONAL BACKGROUND

  Ph.D. degree in EE from Yonsei University, Seoul, Korea. (2016.9 - 2023.2)

  B.S. degree in EE from Yonsei University, Seoul, Korea. (2012.3 - 2016.8)


PAPERS

  • Infrared Image Deconvolution Considering Fixed Pattern Noise
    Haegeun Lee and Moon Gi Kang
    Sensors, vol. 23, no. 6, pp. 3033, Mar. 2023.
  • Automatic prior selection for image deconvolution: Statistical modeling on natural images 
    Haegeun Lee, Jaeduk Han, Soonyoung Hong, and Moon Gi Kang
    Signal Processing, vol. 189, pp. 108307, Dec. 2021.
  • Thermal Image Restoration Based on LWIR Sensor Statistics
    Jaeduk Han, Haegeun Lee, and Moon Gi Kang
    Sensors, vol. 21, no. 16, pp. 5443, Aug. 2021.
  • Nighttime Single Image Dehazing based on the Structural Patch Decomposition
    Soonyoung Hong, Minsub Kim, Haegeun Lee, and Moon Gi Kang
    IEEE Access, vol. 9, pp. 82070-82082, 04. Jun. 2021.
  • Single Image Dehazing of Road Scenes using Spatially Adaptive Atmospheric Point Spread Function
    Minsub Kim, Soonyoung Hong, Haegeun Lee, and Moon Gi Kang
    IEEE Access, vol. 9,  May. 2021.
  • Multi-frame super-resolution utilizing spatially adaptive regularization for ToF camera
    Haegeun Lee, Jonghyun Kim, Jaeduk Han, and Moon Gi Kang
    IS&T Electronic Imaging, Burlingame, California, Jan. 2019.
  • 초해상도 위성영상 복원을 위한 최적 디컨볼루션에 관한 고찰
    한재덕, 김종현, 이해근, 강문기
    한국항공우주학회 2018 추계학술대회 논문집, 2018년 11월.


PROJECTS