Accurate and Fast Image Denoising via Attention Guided Scaling | |
Zhang, Yulun2; Li, Kunpeng2; Li, Kai3; Sun G(孙干)4; Kong, Yu5; Fu Y(付昀)1,2 | |
刊名 | IEEE TRANSACTIONS ON IMAGE PROCESSING
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2021 | |
卷号 | 30页码:6255-6265 |
关键词 | Image denoising Noise measurement Training Noise reduction Generative adversarial networks Visualization Task analysis Image denoising attention guided scaling feature collection and distribution object recognition semantic segmentation |
ISSN号 | 1057-7149 |
产权排序 | 3 |
英文摘要 | Image denoising is a classical topic yet still a challenging problem, especially for reducing noise from the texture information. Feature scaling (e.g., downscale and upscale) is a widely practice in image denoising to enlarge receptive field size and save resources. However, such a common operation would lose some visual informative details. To address those problems, we propose fast and accurate image denoising via attention guided scaling (AGS). We find that the main informative feature channel and visual primitives during the scaling should keep similar. We then propose to extract the global channel-wise attention to maintain main channel information. Moreover, we propose to collect global descriptors by considering the entire spatial feature. And we then distribute the global descriptors to local positions of the scaled feature, based on their specific needs. We further introduce AGS for adversarial training, resulting in a more powerful discriminator. Extensive experiments show the effectiveness of our proposed method, where we clearly surpass all the state-of-the-art methods on most popular synthetic and real-world denoising benchmarks quantitatively and visually. We further show that our network contributes to other high-level vision applications and improves their performances significantly. |
资助项目 | Northeastern University |
WOS关键词 | FRAMEWORK |
WOS研究方向 | Computer Science ; Engineering |
语种 | 英语 |
WOS记录号 | WOS:000673531400003 |
资助机构 | Northeastern University |
内容类型 | 期刊论文 |
源URL | [http://ir.sia.cn/handle/173321/29360] ![]() |
专题 | 沈阳自动化研究所_机器人学研究室 |
通讯作者 | Li, Kunpeng |
作者单位 | 1.Khoury College of Computer Science, Northeastern University, Boston, MA 02115 USA 2.Department of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115 USA 3.NEC Laboratories America Inc., Princeton, NJ 08540 USA 4.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 5.College of Computing and Information Sciences, Rochester Institute of Technology, Rochester, NY 14623 USA |
推荐引用方式 GB/T 7714 | Zhang, Yulun,Li, Kunpeng,Li, Kai,et al. Accurate and Fast Image Denoising via Attention Guided Scaling[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2021,30:6255-6265. |
APA | Zhang, Yulun,Li, Kunpeng,Li, Kai,Sun G,Kong, Yu,&Fu Y.(2021).Accurate and Fast Image Denoising via Attention Guided Scaling.IEEE TRANSACTIONS ON IMAGE PROCESSING,30,6255-6265. |
MLA | Zhang, Yulun,et al."Accurate and Fast Image Denoising via Attention Guided Scaling".IEEE TRANSACTIONS ON IMAGE PROCESSING 30(2021):6255-6265. |
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