JongEun Park (Doctoral Student)
PERSONAL INFORMATION
E-mail : je_park@yonsei.ac.kr
RESEARCH INTERESTS
Image Signal Processing
- Super-resolution kernel estimation
- Color filter array (CFA): Joint Demosaicing and Denoising
- Multi-frame image restoration: BurstSR, HDR Imaging
EDUCATIONAL BACKGROUND
Ph.D Course in EE from Yonsei University, Seoul, Korea. (2023.3 - current)
M.S. Course in EE from Yonsei University, Seoul, Korea. (2021.3 - 2023.02)
B.S. degree in EE from Kyung Hee University, Gyeonggi, Korea. (2015.3 - 2021.2)
PAPERS
Joint Demosaicing and Denoising via Aliasing-Free Frequency Decomposition
Jongeun Park, Beomjoon Jo, and Moon Gi Kang
IEEE ACCESSKernel Estimation Using Total Variation Guided Gan for Image Superresolution
JongEun Park, Hansol Kim, and Moon Gi Kang
Sensors, vol. 23, no. 7, pp. 3734, Apr. 2023.Multi-frame demosaicing for the Quad Bayer CFA in the color difference domain
Hansol Kim, Jongeun Park, and Moon Gi Kang
Optics Express, vol. 32, no. 8, pp. 14223, Apr. 2024.Efficient Approach for Large Image Deep Homography Estimation
Jongeun Park, Sanghoon Kim, and Moon Gi Kang
International Conference on Electronics, Information, and Communication, 2026Quad Bayer CFA Demosaicing Using Steering Kernel and Adaptive Residual Interpolation
Jongeun Park, and Moon Gi Kang
International Conference on Electronics, Information, and Communication, 2024영상의 공간 해상도 향상을 위한 그라디언트와 GAN 기반 커널 추정 알고리즘
박종은, 김한솔, 강문기
제 32회 신호처리합동학술대회
- Kernel Prediction Network 기반 Multi-frame Bayer RAW 컬러 이미지 복원 기술 개발
2026. 03. 01. - 2027. 02. 28., 삼성전자(주) - 딥러닝 기반 Multi-exposure Dynamic Range Restoration 기술 개발
2025.02.01 - 2026.01.31, 삼성전자(주) - 딥러닝 기반 Multi-frame Super-resolution 기술 개발
2023.08.16 - 2024.08.15, 삼성전자(주) - Tetra CFA 용 멀티프레임 Demosaic 및 Denoise 알고리즘 개발
2022.08.01 - 2023.07.31, 삼성전자(주) - 위성영상 초해상도 자동화 기술 연구
2020.06.01 - 2022.05.31, 한화시스템(주)