I. Introduction
Grayscale image colorization has been a classic problem since the invention of photography. The missing of images' color leads to less information and visual impact, so hand colorization gradually emerges. However, auto or semi-auto colorization technologies are urgently demanded due to the complexity and high requirements of hand colorization as well as the increasing number of images. Several classic methods have been proposed in the last few years.