Sparse representation-based demosaicing method for microgrid polarimeter imagery | |
Zhang JC(张俊超)1,2,3,4,5![]() ![]() ![]() ![]() ![]() | |
作者部门 | 光电信息技术研究室 |
发表期刊 | Optics Letters
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ISSN | 0146-9592 |
2018 | |
卷号 | 43期号:14页码:3265-3268 |
收录类别 | SCI ; EI |
EI收录号 | 20182905555509 |
WOS记录号 | WOS:000438867400018 |
资助机构 | China Scholarship Council (CSC) ; Thirteenth Five-Year Preresearch Program of China |
摘要 | To address the key image interpolation issue in microgrid polarimeters, we propose a machine learning model based on sparse representation. The sparsity and non-local self-similarity priors are used as regularization terms to enhance the stability of an interpolation model. Moreover, to make the best of the correlation among different polarization orientations, patches of different polarization channels are joined to learn adaptive sub-dictionary. Synthetic and real images are used to evaluate the interpolated performance. The experimental results demonstrate that our proposed method achieves state-of-the-art results in terms of quantitative measures and visual quality. |
语种 | 英语 |
WOS类目 | Optics |
关键词[WOS] | Focal-plane Polarimeters ; Interpolation ; Division ; Dictionaries |
WOS研究方向 | Optics |
资助项目 | China Scholarship Council (CSC)[201704910730] ; Thirteenth Five-Year Preresearch Program of China[41415020104] |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.sia.cn/handle/173321/22153 |
专题 | 光电信息技术研究室 |
通讯作者 | Zhang JC(张俊超) |
作者单位 | 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,AZ 85721, United States 4.Key Laboratory of Opto-Electronic Information Processing, CAS, Shenyang 110016, China 5.Key Lab of Image Understanding and Computer Vision, Liaoning Province, Shenyang 110016, China 6.Department of Bioengineering, Hong Kong University of Science and Technology, Hong Kong, China |
推荐引用方式 GB/T 7714 | Zhang JC,Luo HB,Liang, Rongguang,et al. Sparse representation-based demosaicing method for microgrid polarimeter imagery[J]. Optics Letters,2018,43(14):3265-3268. |
APA | Zhang JC.,Luo HB.,Liang, Rongguang.,Ahmed, Ashfaq.,Zhang XY.,...&Chang Z.(2018).Sparse representation-based demosaicing method for microgrid polarimeter imagery.Optics Letters,43(14),3265-3268. |
MLA | Zhang JC,et al."Sparse representation-based demosaicing method for microgrid polarimeter imagery".Optics Letters 43.14(2018):3265-3268. |
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Sparse representatio(1674KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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