Transition-constant Normalization for Image Enhancement

Neural Information Processing Systems 

Normalization techniques that capture image style by statistical representation have become a popular component in deep neural networks.Although image enhancement can be considered as a form of style transformation, there has been little exploration of how normalization affect the enhancement performance.