Computer-Aided Colorization State-of-the-Science: A Survey
This article reviews published research in the field of computer-aided colorization technology. We argue that within this context, the colorization task can be considered to originate from computer graphics, advance by introducing computer vision, and progress towards the fusion of vision and graphics. Hence, we propose a specific taxonomy and organize the research work chronologically. We extend the existing reconstruction-based colorization evaluation techniques on the basis that aesthetic assessment should be introduced to ensure the computer-coloredimages closely satisfy human visual-related requirements. We then perform an aesthetic assessment using the proposed metric and existing evaluations, comparing the colorization performance of seven representative unconditional colorization models. Finally, we identify unresolved issues and propose fruitful areas for future research and development.
Authors
- Xinhui Duan (ORCID: https://orcid.org/0000-0001-8812-0768)
- P.Y. Mok (ORCID: https://orcid.org/0000-0002-0635-5318)
- Tong‐Yee Lee (ORCID: https://orcid.org/0000-0001-6699-2944)
- Xiangqiao Meng (ORCID: https://orcid.org/0000-0002-3156-5747)
- Ping Li (ORCID: https://orcid.org/0000-0002-1503-0240)
- Yu Cao (ORCID: https://orcid.org/0000-0002-9761-0723)
Institutions
- Hong Kong Polytechnic University (HK)
- National Cheng Kung University (TW)
Publication Details
- Journal
- IEEE Transactions on Visualization and Computer Graphics
- Published
- 2025-02-18
- DOI
- https://doi.org/10.1109/tvcg.2025.3543527
- Primary Topic
- Color Science and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00