Example-based colourization via dense encoding pyramids

• Main Authors: XIAO, Chufeng, HAN, Chu, ZHANG, Zhuming, QIN, Jing, WONG, Tien-Tsin, HAN, Guoqiang, HE, Shengfeng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: image and video processing; image processing; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/7837; https://ink.library.smu.edu.sg/context/sis_research/article/8840/viewcontent/example_based.pdf
• Institution: Singapore Management University

We propose a novel deep example-based image colourization method called dense encoding pyramid network. In our study, we define the colourization as a multinomial classification problem. Given a greyscale image and a reference image, the proposed network leverages large-scale data and then predicts...