Changchun Institute of Optics,Fine Mechanics and Physics,CAS
Image enhancement algorithm based on improved lateral inhibition network | |
Yun, H. J.; Z. Y. Wu; G. J. Wang; G. Tong and H. Yang | |
2016 | |
发表期刊 | Infrared Physics & Technology |
卷号 | 76 |
摘要 | In order to reach its diffraction limited performance, the co-phase errors of segmented mirror synthetic aperture optics (SAO) systems must be accurately measured and corrected. A new hybrid algorithm based on phase diversity is proposed for co-phasing the segmented mirrors. It utilizes an improved adaptive genetic algorithm to determine the global initial aberration coefficients, and then uses an iterative linear correction algorithm to obtain the linear estimator of coefficients under small residual phase after initial alignment of the system. The numerical simulation results demonstrate that the proposed method is highly sensitive and noise tolerant. It can fulfill the requirements for the phasing of segmented mirror telescopes and retrieving the unknown object for the system. (C) 2015 Elsevier GmbH. All rights reserved. |
文章类型 | 期刊 |
收录类别 | SCI ; EI |
语种 | 英语 |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ciomp.ac.cn/handle/181722/57394 |
专题 | 中科院长春光机所知识产出 |
推荐引用方式 GB/T 7714 | Yun, H. J.,Z. Y. Wu,G. J. Wang,et al. Image enhancement algorithm based on improved lateral inhibition network[J]. Infrared Physics & Technology,2016,76. |
APA | Yun, H. J.,Z. Y. Wu,G. J. Wang,&G. Tong and H. Yang.(2016).Image enhancement algorithm based on improved lateral inhibition network.Infrared Physics & Technology,76. |
MLA | Yun, H. J.,et al."Image enhancement algorithm based on improved lateral inhibition network".Infrared Physics & Technology 76(2016). |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Image enhancement al(2020KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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