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: Computational photography; Computing methodologies; Computing methodology; neural network; Example based; I.3.3 [computer graphics]; I.3.3 [computer graphic]; picture/image; Image and video processing; Images processing; Neural-networks; Reference image; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/8361; https://ink.library.smu.edu.sg/context/sis_research/article/9364/viewcontent/ExampleBased_Colourization_Via_Dense_Encoding_Pyramids.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...