CMOS fixed pattern noise elimination based on sparse unidirectional hybrid total variation
文献类型：期刊论文
| 作者 | Zhang, Tao1,2,3; Li, Xinyang2; Li, Jianfeng3; Xu, Zhi1 |
| 刊名 | Sensors
 |
| 出版日期 | 2020-10-01 |
| 卷号 | 20期号:19页码:1-20 |
| 关键词 | FPN sparse total variation anisotropy characteristic |
| ISSN号 | 1424-8220 |
| DOI | 10.3390/s20195567 |
| 文献子类 | 期刊论文 |
| 英文摘要 | With the improvement of semiconductor technology, the performance of CMOS Image Sensor has been greatly improved, reaching the same level as that of CCD in dark current, linearity and readout noise. However, due to the production process, CMOS has higher fix pattern noise than CCD at present. Therefore, the removal of CMOS fixed pattern noise has become the research content of many scholars. For current fixed pattern noise (FPN) removal methods, the most effective one is based on optimization. Therefore, the optimization method has become the focus of many scholars. However, most optimization models only consider the image itself, and rarely consider the structural characteristics of FPN. The proposed sparse unidirectional hybrid total variation (SUTV) algorithm takes into account both the sparse structure of column fix pattern noise (CFPN) and the random properties of pixel fix pattern noise (PFPN), and uses adaptive adjustment strategies for some parameters. From the experimental values of PSNR and SSM as well as the rate of change, the SUTV model meets the design expectations with effective noise reduction and robustness. © 2020 by the authors. Licensee MDPI, Basel, Switzerland. |
| 出版地 | BASEL |
| WOS关键词 | NONUNIFORMITY CORRECTION ; REMOVAL ; IMAGERY |
| WOS研究方向 | Chemistry ; Engineering ; Instruments & Instrumentation |
| 语种 | 英语 |
| WOS记录号 | WOS:000586668100001 |
| 出版者 | MDPI |
| 源URL | [http://ir.ioe.ac.cn/handle/181551/10146]  |
| 专题 | 光电技术研究所_自适应光学技术研究室（八室） |
| 作者单位 | 1.Astronomical Technology Laboratory, Yunnan Observatory, Chinese Academy of Sciences, Kunming; 650216, China 2.Key Laboratory of Adaptive Optics, Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu; 610209, China; 3.School of Optoelectronic Information, University of Electronic Science and Technology, Chengdu; 611731, China; |
| 推荐引用方式 GB/T 7714 | Zhang, Tao,Li, Xinyang,Li, Jianfeng,et al. CMOS fixed pattern noise elimination based on sparse unidirectional hybrid total variation[J]. Sensors,2020,20(19):1-20. |
| APA | Zhang, Tao,Li, Xinyang,Li, Jianfeng,&Xu, Zhi.(2020).CMOS fixed pattern noise elimination based on sparse unidirectional hybrid total variation.Sensors,20(19),1-20. |
| MLA | Zhang, Tao,et al."CMOS fixed pattern noise elimination based on sparse unidirectional hybrid total variation".Sensors 20.19(2020):1-20. |
入库方式： OAI收割
来源：光电技术研究所
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