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eess.IV2025
Noise Modeling in One Hour: Minimizing Preparation Efforts for Self-supervised Low-Light RAW Image Denoising
Feiran Li, Haiyang Jiang, Daisuke Iso
Noise synthesis is a promising solution for addressing the data shortage problem in data-driven low-light RAW image denoising. However, accurate noise synthesis methods often neces…
eess.IV2024
RMFA-Net: A Neural ISP for Real RAW to RGB Image Reconstruction
Fei Li, Wenbo Hou, Peng Jia
Deep learning-based ISP algorithms have demonstrated significant potential in raw2rgb reconstruction. However, existing networks have not fully considered the specific characterist…