Edge Heuristic GAN for Non-Uniform Blind Deblurring
文献类型：期刊论文
| 作者 | Zheng, Shuai1,2; Zhu, Zhenfeng1,2; Cheng, Jian3,4 ; Guo, Yandong5; Zhao, Yao1,2
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| 刊名 | IEEE SIGNAL PROCESSING LETTERS
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| 出版日期 | 2019-10-01 |
| 卷号 | 26期号:10页码:1546-1550 |
| 关键词 | Blind image deblurring generative adversarial network edge heuristic |
| ISSN号 | 1070-9908 |
| DOI | 10.1109/LSP.2019.2939752 |
| 通讯作者 | Zhu, Zhenfeng(zhfzhu@bjtu.edu.cn) |
| 英文摘要 | Non-uniform blur, mainly caused by camera shake and motions of multiple objects, is one of the most common causes of image quality degradation. However, the traditional blind deblurring methods based on blur kernel estimation do not perform well on complicated non-uniform motion blurs. However, recent studies show that GAN-based approaches achieve impressive performance on deblurring tasks. In this letter, to further improve the performance of GAN-based methods on deblurring tasks, we propose an edge heuristic multi-scale generative adversarial network (GAN), which uses the coarse-to-fine scheme to restore clear images in an end-to-end manner. In particular, an edge-generated network is designed to generate sharp edges as auxiliary information to guide the deblurring process. Furthermore, We propose a hierarchical content loss function for deblurring tasks. Extensive experiments on different datasets show that our method achieves state of the art performance in dynamic scene deblurring. |
| 资助项目 | National Natural Science Foundation of China[61572068] ; National Natural Science Foundation of China[61532005] ; Fundamental Research Funds for the Central Universities of China[2019YJS048] ; Fundamental Research Funds for the Central Universities of China[2019JBM018] |
| WOS研究方向 | Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000487071700001 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities of China |
| 源URL | [http://ir.ia.ac.cn/handle/173211/27010]  |
| 专题 | 类脑芯片与系统研究 |
| 通讯作者 | Zhu, Zhenfeng |
| 作者单位 | 1.Beijing Jiaotong Univ, Inst Informat Sci, Beijing 100044, Peoples R China 2.Beijing Key Lab Adv Informat Sci & Network Techno, Beijing 100044, Peoples R China 3.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100190, Peoples R China 5.Xpeng Motors, Beijing 100080, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zheng, Shuai,Zhu, Zhenfeng,Cheng, Jian,et al. Edge Heuristic GAN for Non-Uniform Blind Deblurring[J]. IEEE SIGNAL PROCESSING LETTERS,2019,26(10):1546-1550. |
| APA | Zheng, Shuai,Zhu, Zhenfeng,Cheng, Jian,Guo, Yandong,&Zhao, Yao.(2019).Edge Heuristic GAN for Non-Uniform Blind Deblurring.IEEE SIGNAL PROCESSING LETTERS,26(10),1546-1550. |
| MLA | Zheng, Shuai,et al."Edge Heuristic GAN for Non-Uniform Blind Deblurring".IEEE SIGNAL PROCESSING LETTERS 26.10(2019):1546-1550. |
入库方式： OAI收割
来源：自动化研究所
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