Residual and Dense UNet for Under-Display Camera Restoration
文献类型：会议论文
| 作者 | Yang QR(杨琦瑞)1,2,3; Liu, Yihao1,4; Tang, Jigang5; Ku T(库涛)2,3
|
| 出版日期 | 2020 |
| 会议日期 | August 23-28, 2020 |
| 会议地点 | Glasgow, United kingdom |
| 关键词 | Under-display camera Image restoration Deblurring Enhancement Denoising |
| 页码 | 398-408 |
| 英文摘要 | With the rapid development of electronic products, the increasing demand for full-screen devices has become a new trend, which facilitates the investigation of Under-Display Cameras (UDC). UDC can not only bring larger display-to-body ratio but also improve the interactive experience. However, when imaging sensor is mounted behind a display, existing screen materials will cause severe image degradation due to lower light transmission rate and diffraction effects. In order to promote the research in this field, RLQ-TOD 2020 held the Image Restoration Challenge for Under-Display Camera. The challenge was composed of two tracks – 4k Transparent OLED (T-OLED) and phone Pentile OLED (P-OLED) track. In this paper, we propose a UNet-like structure with two various basic building blocks to tackle this problem. We discover that T-OLED and P-OLED have different preferences with the model structure and the input patch size during training. With the proposed model, our team won the third place in the challenge on both T-OLED and P-OLED tracks. |
| 产权排序 | 1 |
| 会议录 | Computer Vision – ECCV 2020 Workshops, Proceedings
 |
| 会议录出版者 | Springer Science and Business Media Deutschland GmbH |
| 会议录出版地 | Berlin |
| 语种 | 英语 |
| ISSN号 | 0302-9743 |
| ISBN号 | 978-3-030-68237-8 |
| 源URL | [http://ir.sia.cn/handle/173321/28363]  |
| 专题 | 沈阳自动化研究所_数字工厂研究室 |
| 通讯作者 | Yang QR(杨琦瑞) |
| 作者单位 | 1.University of Chinese Academy of Sciences, Beijing 100049, China 2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China 4.Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China 5.Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China |
| 推荐引用方式 GB/T 7714 | Yang QR,Liu, Yihao,Tang, Jigang,et al. Residual and Dense UNet for Under-Display Camera Restoration[C]. 见:. Glasgow, United kingdom. August 23-28, 2020. |
入库方式： OAI收割
来源：沈阳自动化研究所
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