About Me
Yuan-Kang (Neil) Lee is currently an Image Quality Algorithm Engineer at Mediatek, specializing in development of camera image quality algorithms. His research focuses specifically on image quality assessment, low-level image processing, and computer vision. He received his Master’s degree from the Graduate Institute of Communication Engineering at National Taiwan University. Prior to joining Mediatek, he was a Camera Imaging Engineer Intern at Logitech and an Image Processing Engineer Intern at Robert BOSCH GmbH.
Know MoreNews
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Research Paper Acceptance 2025-08-15
One research paper is accpeted to IEEE APCCAS 2025!
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Conference Award 2024-11-01
Our presentation is selected as the best in Advanced Image Processing Session at IEEE GCCE 2024!
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Research Paper Acceptance 2024-07-29
One research paper is accpeted to IEEE GCCE 2024!
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Conference Award 2024-07-20
Our presentation is selected as the best in Image Analysis Session at IEEE ICISPC 2024!
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Research Paper Acceptance 2024-03-29
One research paper is accpeted to IEEE ICISPC 2024!
Research
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Yuan-Kang Lee , Kuan-Lin Chen , Jian-Jiun Ding
IEEE APCCAS 2025
FRIEREN (Face Resizing Image Detail Quality Evaluation via Robust Estimation of Image Naturalness), a novel IQA for detail quality evaluation, effectively and accurately evaluates the face image detail quality scaled by different interpolations with low computational complexity.
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Yuan-Kang Lee , Kuan-Lin Chen , Jian-Jiun Ding
IEEE APCCAS 2025
FRIEREN (Face Resizing Image Detail Quality Evaluation via Robust Estimation of Image Naturalness), a novel IQA for detail quality evaluation, effectively and accurately evaluates the face image detail quality scaled by different interpolations with low computational complexity.
Projects
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Implemention details of color and chorma difference algorithms in Imatest and iQ-Analyzer.
Last updated: Dec 2024