Adaptive Weighted Exposure Algorithm Based on Region Luminance Detection | |
Yang, Lei1,2![]() ![]() ![]() ![]() | |
2021-05-14 | |
会议名称 | 3rd IEEE International Conference on Communications, Information System and Computer Engineering, CISCE 2021 |
会议录名称 | 2021 IEEE 3rd International Conference on Communications, Information System and Computer Engineering, CISCE 2021 |
页码 | 539-542 |
会议日期 | 2021-05-14 |
会议地点 | Beijing, China |
出版者 | Institute of Electrical and Electronics Engineers Inc. |
产权排序 | 1 |
摘要 | When the traditional global auto-exposure algorithm is applied to high contrast special scenes such as dark background and bright target, there is often over-exposure of the target, which leads to the loss of the key information of the subject concerned. To solve this problem, an adaptive weight exposure method based on regional brightness detection is proposed. Firstly, the whole imaging field of view is divided into several regions, and then the position of the target in the field of view is identified by independent judgment. Finally, the automatic exposure control of gray statistics is carried out according to the preset region weight. The experimental results show that the proposed method can effectively improve the image quality of the bright target or dark target in the dark background, avoid the phenomenon of the target too bright or too dark, and better capture the texture features of the target. © 2021 IEEE. |
关键词 | auto-exposure area brightness weigh |
作者部门 | 飞行器光学成像与测量技术研究室 |
DOI | 10.1109/CISCE52179.2021.9445988 |
收录类别 | EI |
ISBN号 | 9780738112152 |
语种 | 英语 |
EI入藏号 | 20213110705823 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/94983 |
专题 | 飞行器光学成像与测量技术研究室 |
作者单位 | 1.University of Chinese Academy of Sciences, Beijing; 100049, China 2.Xi'an Institute of Optics and Precision Mechanics Chinese, Academy of Sciences, Xi'an; 710119, China |
推荐引用方式 GB/T 7714 | Yang, Lei,Zhang, Derui,Cao, Jianzhong,et al. Adaptive Weighted Exposure Algorithm Based on Region Luminance Detection[C]:Institute of Electrical and Electronics Engineers Inc.,2021:539-542. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Adaptive_Weighted_Ex(540KB) | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 |
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