RAID-Net: Region-Aware Image Deblurring Network Under Guidance of the Image Blur Formulation
文献类型：期刊论文
| 作者 | Liao, Lianjun1,2,3; Zhang, Zihao2,3; Xia, Shihong2,3 |
| 刊名 | IEEE ACCESS
 |
| 出版日期 | 2022 |
| 卷号 | 10页码:83940-83948 |
| ISSN号 | 2169-3536 |
| 关键词 | Image restoration Cameras Convolutional neural networks Task analysis Adaptation models Image edge detection Trajectory Attention mechanism graph neural network graph reasoning network image deblur image processing |
| DOI | 10.1109/ACCESS.2022.3194032 |
| 英文摘要 | Image deblurring is a challenging field in computational photography and computer vision. In the deep learning era, deblurring methods boosted with neural networks achieve significant results. However, the existing methods mainly focus on solving specific image deblurring problem, and overlook the origin of the motion blur. In this paper, we revisit how blur occurs, and divide them into three categories, i.e. caused by relative motion between camera and scene, caused by the movement of the object itself and the edges of a blurring image, which may meet discontinuity because of the pixels trajectory sampled outside the image. To address the issues of different blurs in an image, we propose a two-stage neural network for image deblurring named RAID-Net. In order to remove the global blurry region caused by camera movements, we first use a U-shape network to get the coarse deblurred image. Then we leverage an adaptive reasoning module to model the relationship between different blurry regions within one image jointly and remove the other two categories of motion blur. Experiments on two public benchmark datasets demonstrate that our method achieves comparable or better results over the state-of-the-art methods. |
| 资助项目 | China National Key Research and Development Program of Science and Technology for Winter Olympics[2020YFF0304701] |
| WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
| 语种 | 英语 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| WOS记录号 | WOS:000842086000001 |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/19454]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Xia, Shihong |
| 作者单位 | 1.North China Univ Technol, Sch Informat, Dept Comp Sci & Technol, Beijing 100144, Peoples R China 2.Univ Chinese Acad Sci, Dept Comp Sci & Technol, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liao, Lianjun,Zhang, Zihao,Xia, Shihong. RAID-Net: Region-Aware Image Deblurring Network Under Guidance of the Image Blur Formulation[J]. IEEE ACCESS,2022,10:83940-83948. |
| APA | Liao, Lianjun,Zhang, Zihao,&Xia, Shihong.(2022).RAID-Net: Region-Aware Image Deblurring Network Under Guidance of the Image Blur Formulation.IEEE ACCESS,10,83940-83948. |
| MLA | Liao, Lianjun,et al."RAID-Net: Region-Aware Image Deblurring Network Under Guidance of the Image Blur Formulation".IEEE ACCESS 10(2022):83940-83948. |
入库方式： OAI收割
来源：计算技术研究所
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