| Learning a convolutional demosaicing network for microgrid polarimeter imagery | |
Zhang JC(张俊超)1,2,3,4,5 ; Shao, Jianbo3,6; Luo HB(罗海波)1,4,5; Zhang XY(张祥越)1,2,4,5; Hui B(惠斌)1,4,5; Chang Z(常铮)1,4,5; Liang, Rongguang3
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| Department | 光电信息技术研究室 |
| Source Publication | OPTICS LETTERS
 |
| ISSN | 0146-9592 |
| 2018 | |
| Volume | 43Issue:18Pages:4534-4537 |
| Indexed By | SCI ; EI |
| EI Accession number | 20183805821930 |
| WOS ID | WOS:000444400100057 |
| Contribution Rank | 1 |
| Funding Organization | China Scholarship Council (CSC) ; thirteenth five-year preresearch program of China |
| Abstract | We propose a polarization demosaicing convolutional neural network to address the image demosaicing issue, the last unsolved issue in microgrid polarimeters. This network learns an end-to-end mapping between the mosaic images and full-resolution ones. Skip connections and customized loss function are used to boost the performance. Experimental results show that our proposed network outperforms other state-of-the-art methods by a large margin in terms of quantitative measures and visual quality. (C) 2018 Optical Society of America |
| Language | 英语 |
| WOS Subject | Optics |
| WOS Keyword | FOCAL-PLANE POLARIMETERS ; INTERPOLATION ; DIVISION |
| WOS Research Area | Optics |
| Funding Project | China Scholarship Council (CSC)[201704910730] ; thirteenth five-year preresearch program of China[41415020104] |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.sia.cn/handle/173321/22742 |
| Collection | 光电信息技术研究室 |
| Corresponding Author | Liang, Rongguang |
| Affiliation | 1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 2.University of Chinese Academy of Sciences, Beijing 100049, China 3.College of Optical Sciences, University of Arizona, Tucson, Arizona 85721, USA 4.Key Laboratory of Opto-Electronic Information Processing, CAS, Shenyang 110016, China 5.The Key Lab of Image Understanding and Computer Vision, Liaoning Province, Shenyang 110016, China 6.Department of Electrical and Computer Engineering, University of Arizona, Tucson, Arizona 85721, USA |
| Recommended Citation GB/T 7714 | Zhang JC,Shao, Jianbo,Luo HB,et al. Learning a convolutional demosaicing network for microgrid polarimeter imagery[J]. OPTICS LETTERS,2018,43(18):4534-4537. |
| APA | Zhang JC.,Shao, Jianbo.,Luo HB.,Zhang XY.,Hui B.,...&Liang, Rongguang.(2018).Learning a convolutional demosaicing network for microgrid polarimeter imagery.OPTICS LETTERS,43(18),4534-4537. |
| MLA | Zhang JC,et al."Learning a convolutional demosaicing network for microgrid polarimeter imagery".OPTICS LETTERS 43.18(2018):4534-4537. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| Learning a convoluti（2017KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Application Full Text | |
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