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RL-AWB: Deep Reinforcement Learning for Auto White Balance Correction in Low-Light Night-time ScenesWe present RL-AWB, a novel framework combining statistical methods with deep reinforcement learning for nighttime white balance. We also contribute LEVI, the first multi-sensor nighttime dataset for color constancy in this work.
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IEEE APCCAS 2025
FRIEREN, a novel no-reference image quality assessment, effectively and accurately evaluates the face detail quality scaled by different interpolations with low computational complexity.