Row-Column Separated Attention Based Low-Light Image/Video Enhancement
文献类型:期刊论文
作者 | Dong, Chengqi1; Cao, Zhiyuan2; Qi, Tuoshi1; Wu, Kexin1; Gao, Yixing1; Tang, Fan3 |
刊名 | COMPUTER GRAPHICS FORUM
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出版日期 | 2024-08-29 |
页码 | 15 |
关键词 | Low-light image/video enhancement Row-column separated attention Temporal consistency |
ISSN号 | 0167-7055 |
DOI | 10.1111/cgf.15192 |
英文摘要 | U-Net structure is widely used for low-light image/video enhancement. The enhanced images result in areas with large local noise and loss of more details without proper guidance for global information. Attention mechanisms can better focus on and use global information. However, attention to images could significantly increase the number of parameters and computations. We propose a Row-Column Separated Attention module (RCSA) inserted after an improved U-Net. The RCSA module's input is the mean and maximum of the row and column of the feature map, which utilizes global information to guide local information with fewer parameters. We propose two temporal loss functions to apply the method to low-light video enhancement and maintain temporal consistency. Extensive experiments on the LOL, MIT Adobe FiveK image, and SDSD video datasets demonstrate the effectiveness of our approach. We design a row-column separation attention model for high-quality low light enhancement. image |
资助项目 | Beijing Natural Science Foundation[L221013] ; National Natural Science Foundation of China[62102162] ; National Natural Science Foundation of China[62203184] |
WOS研究方向 | Computer Science |
语种 | 英语 |
WOS记录号 | WOS:001300036700001 |
出版者 | WILEY |
源URL | [http://119.78.100.204/handle/2XEOYT63/39613] ![]() |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | Gao, Yixing |
作者单位 | 1.Jilin Univ, Sch Artificial Intelligence, Changchun, Peoples R China 2.Jilin Univ, Coll Software, Changchun, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Dong, Chengqi,Cao, Zhiyuan,Qi, Tuoshi,et al. Row-Column Separated Attention Based Low-Light Image/Video Enhancement[J]. COMPUTER GRAPHICS FORUM,2024:15. |
APA | Dong, Chengqi,Cao, Zhiyuan,Qi, Tuoshi,Wu, Kexin,Gao, Yixing,&Tang, Fan.(2024).Row-Column Separated Attention Based Low-Light Image/Video Enhancement.COMPUTER GRAPHICS FORUM,15. |
MLA | Dong, Chengqi,et al."Row-Column Separated Attention Based Low-Light Image/Video Enhancement".COMPUTER GRAPHICS FORUM (2024):15. |
入库方式: OAI收割
来源:计算技术研究所
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