A fully-automatic image colorization scheme using improved CycleGAN with skip connections

• Published in: Multimedia tools and applications Vol. 80; no. 17; pp. 26465 - 26492
• Main Authors: Huang, Shanshan, Jin, Xin, Jiang, Qian, Li, Jie, Lee, Shin-Jye, Wang, Puming, Yao, Shaowen
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.07.2021; Springer Nature B.V
• Subjects: Color imagery; Colorization; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Generative adversarial networks; Gray scale; Multimedia Information Systems; Special Purpose and Application-Based Systems; Deep learning, Image colorization; Multimedia processing; Cycle-consistent adversarial network

Image colorization is the process of assigning different RGB values to each pixel of a given grayscale image to obtain the corresponding colorized image. In this work, we propose a new automatic image colorization method based on the modified cycle-consistent generative adversarial network (CycleGAN...