Haegeun Lee
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