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eess.IV2024
Adaptive Selection of Sampling-Reconstruction in Fourier Compressed Sensing
Seongmin Hong, Jaehyeok Bae, Jongho Lee +1
Compressed sensing (CS) has emerged to overcome the inefficiency of Nyquist sampling. However, traditional optimization-based reconstruction is slow and can not yield an exact imag…
eess.IV2024
MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learning
Hwihun Jeong, Se Young Chun, Jongho Lee
Deep learning-based Magnetic Resonance (MR) reconstruction methods have focused on generating high-quality images but often overlook the impact on downstream tasks (e.g., segmentat…
eess.IV2023★ 1 cited
Efficient Unified Demosaicing for Bayer and Non-Bayer Patterned Image Sensors
Haechang Lee, Dongwon Park, Wongi Jeong +4
As the physical size of recent CMOS image sensors (CIS) gets smaller, the latest mobile cameras are adopting unique non-Bayer color filter array (CFA) patterns (e.g., Quad, Nona, Q…