ScholarWorks@Dongguk University: Lee, Chul

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Lee, Chul (이철)

College of Advanced Convergence Engineering (Department of Computer Science and Artificial Intelligence)

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Tel 02-2260-3339
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image restoration:5||Image restoration:4||Image fusion:4||Task analysis:4||Image color analysis:4||Heuristic algorithms:3||HDR imaging:3||Visible and infrared image fusion:3||Lowlight image enhancement:3||Tensors:3||Image enhancement:3||transformer:3||algorithm unrolling:3||contrastive learning:2||infrared image:2||Monocular depth estimation:2||unrolled optimization:2||convolutional neural network (CNN):2||video coding for machines (VCM):2||Image demoireing:2||visible image:2||Optimization:2||deep unfolding:2||modelbased deep learning:2||Image generation:2||multiscale network:2||optimization:2||high dynamic range (HDR) imaging:2||Cameras:2||Imaging:2||SVE image:2||Dynamic range:2||Sensors:2||Image dehazing:1||Image denoising:1||Image reconstruction:1||Image synthesis:1||Inertial sensors:1||Inference algorithms:1||Iterative methods:1||Laplace equations:1||Least mean squares methods:1||Licenses:1||Lighting:1||Lowrank tensor completion:1||Magnetic field measurement:1||Magnetometers:1||Maritime image defogging:1||Minimization:1||Moire artifacts removal:1||Multiple transformation functions:1||Nonlocal means filtering:1||Orientation prediction:1||Pansharpening:1||Parameter estimation:1||Periodic structures:1||Prediction algorithms:1||Quaternions:1||RGBW color filter array (CFA):1||Relative depth estimation:1||Scattering:1||Screenshot demoiréing:1||Spatially varying exposure (SVE) image:1||Adaptation models:1||Training:1||Transformer:1||Transformers:1||Underwater image enhancement:1||Video interpolation:1||aesthetic assessment:1||alternating direction method of multipliers:1||and human visual system (HVS):1||and unsupervised attribute clustering:1||attitude and heading reference system (AHRS):1||augmented reality (AR):1||color contrast enhancement:1||color representation:1||contrast sensitivity:1||convolutional neural network:1||convolutional neural networks:1||convolutional neural networks (CNNs):1||crossattention:1||cyclic moire learning:1||deep learning:1||demoireing:1||dichromats:1||diffusion model:1||edgeguided attention map:1||feature decomposition:1||histogram:1||histogram equalization:1||human depth estimation:1||human pose estimation:1||human visual system:1||hyperspectral image (HSI) restoration:1||illumination decomposition:1||image composition:1||image enhancement:1||inertial measurement units (IMUs):1||intensity degradation:1||learned kernelbased interpolation:1||loss rebalancing strategy:1||lowrank matrix completion:1||lowrank tensor completion:1||majorizationminimization approach:1||maximum a posteriori estimation:1||minimum mean square error (MMSE):1||moire pattern generation:1||motion estimation:1||motiontophoton (MTP) latency:1||multiple domain learning:1||multiple transformation functions:1||pansharpening:1||prior learning:1||recoloring:1||remosaicing:1||robust tensor factorization:1||selfattention:1||single image defogging:1||speckle:1||tonemapping:1||total variation image prior:1||transformation function:1||transformation function estimation:1||underwater images:1||unpaired learning:1||unsupervised property discovery:1||virtual reality (VR):1||Tensor rank minimization:1||Atmospheric modeling:1||Augmented reality:1||Bayer CFA:1||Bilateral cost volume:1||Bilateral motion:1||Color representation:1||Color vision deficiency:1||Computer vision:1||Contrast enhancement:1||Contrastive learning:1||Convex optimization:1||Convolution:1||Data mining:1||Degradation:1||Depth map decomposition:1||Dynamic local convolution:1||Error compensation:1||Exposureaware fusion:1||Exposureaware transformer:1||Feature decomposition:1||Feature extraction:1||Frequencydomain analysis:1||Gamma correction:1||Generative adversarial networks:1||Guided image filtering:1||HDR10:1||High dynamic range:1||High dynamic range (HDR) imaging:1||High dynamic range (HDR) video synthesis:1||High dynamic range imaging:1||Histogram representation:1||Image aesthetics:1||

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