We 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.

FRIEREN, a novel no-reference image quality assessment, effectively and accurately evaluates the face detail quality scaled by different interpolations with low computational complexity.

Implemention details of color and chorma difference algorithms in Imatest and iQ-Analyzer.