TITLE:
Overview of Scribbled-Based Colorization
AUTHORS:
Simeng Li, Qiaofeng Liu, Haoyu Yuan
KEYWORDS:
Scribble-Based Colorization, Energy Function, Color Blending, Convolutional Neural Network
JOURNAL NAME:
Art and Design Review,
Vol.6 No.4,
October
23,
2018
ABSTRACT: Hand-coloring is very useful when people draw
pictures or produce movies, but it is also very time-consuming and expensive.
Therefore, with the development of segmentation algorithms and deep learning, a
lot of computer-assisted colorization algorithms have been invented, including
user-guided colorization, semi-automatic colorization and automatic
colorization. In this survey paper, we will only focus on scribble-based
colorization in user-guided colorization and review the development on it. We
will discuss various principles and methods among different kinds of
scribble-based colorization algorithms. We will also compare visual result and
performance of algorithms among colorization on grayscale image, colorization
on sketch and colorization with networks to conclude their advantages and
disadvantages.