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Conference Paper
Super Resolution Network for Artistic Paintings
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- Authors
- Jung-Jae Yu, Juwon Lee, Jaewan Kim
- Issue Date
- 2022-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.1826-1828
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- In this paper, we propose a method of increasing resolution in artistic painting using a deep learning network. Existing SR networks have focused on extracting features that contain sufficient information in a low-resolution state. In this paper, we propose a method that can increase the resolution up to 8 times in the artistic painting domain by improving the upsampling method at the end of the network. The proposed method was confirmed to be usefully applicable to existing artistic painting through experiments.
- KSP Keywords
- Deep learning network, Super resolution, deep learning(DL), low resolution