Chul Lee

Associate Professor

Dongguk University

South Korea

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About

Chul Lee is an Associate Professor at Dongguk University in South Korea. His research focuses on advanced techniques in image processing, including underwater image enhancement, HDR imaging, and video coding. He has published extensively on topics such as infrared and visible image fusion, multi-modal feature decomposition, and tensor completion methods.

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2025

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Chul Lee

Research Interests

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About

Articles (18)

Dual-channel prior-based deep unfolding with contrastive learning for underwater image enhancement

Transformer-guided exposure-aware fusion for single-shot HDR imaging

Gradient-Guided Diffusion-Based Restoration of Extremely Compressed Backgrounds for Video Coding for Machines

Infrared and Visible Image Fusion via Multi-modal Feature Decomposition Transformer

Attention-Guided Low-Rank Tensor Completion

Deep Unfolding Tensor Rank Minimization With Generalized Detail Injection for Pansharpening

Image Enhancement Based on Histogram-Guided Multiple Transformation Function Estimation

Multiple transformation function estimation for image enhancement

Cross-Modal Transformers for Infrared and Visible Image Fusion

Multiscale Coarse-to-Fine Guided Screenshot Demoiréing

Learned Kernel-Based Interpolation for Efficient RGBW Remosaicing

Real-time image and video dehazing based on multiscale guided filtering

Deep Unrolled Low-Rank Tensor Completion for High Dynamic Range Imaging

Multiscale Progressive Fusion of Infrared and Visible Images

Orientation Prediction for VR and AR Devices Using Inertial Sensors Based on Kalman-Like Error Compensation

Unpaired Screen-Shot Image Demoiréing With Cyclic Moiré Learning

An optimization-based approach to gamma correction parameter estimation for low-light image enhancement

Human Visual System Model-Based Optimized Tone Mapping of High Dynamic Range Images

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