arrow
返回

Region-correlation algorithm with improved dynamic range and reconstruction accuracy for extended object wavefront sensing

delete2022-09-13
delete2
PRE
AI
N
Nanfei Yan
L
Lanqiang Zhang *
L
Linhai Huang
C
Changhui Rao
DOI:10.1364/OL.472510delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
The correlation Shack-Hartmann wavefront sensor (SHWFS) is widely used in many fields in addition to solar adaptive optics. The requirement for the SHWFS dynamic range increases with the diameter of the telescope, which means a larger detector array is needed. However, the size of the detector would be restricted by the high frame rate needed for the solar observation. To solve this problem, a new, to the best of our knowledge, method called the region -correlation algorithm (RCA) is proposed. In this method, the sub-image array is divided into several regions, and the slopes of sub-apertures are calculated by referring to a selected sub-image in each region. Note that the final slope over a sub-aperture is obtained by combining the relative slopes between the selected sub-image in different regions. The dynamic range in each region is similar to the conven-tional correlation algorithm, and the final dynamic range of the RCA would be accumulated from those of the regions. The reconstruction accuracy under large aberration would also be improved due to the extended dynamic range. Mean-while, the RCA does not require any extra device and the increase in calculation time resulting from the RCA is accept-able. The results of numerical simulation and experiment, compared with conventional correlation algorithm, confirm the advantages in the performance of the RCA as well. (c) 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement
Keyword:
CROSS-CORRELATION ALGORITHM
SHACK-HARTMANN SENSOR

期刊

Optics Letters 封面图
Optics Letters
IF:
3.3
论文数:
4.0W
被引数:
7.6W

机构

C
chinese academy of sciences
学者数:
56.7W
论文数: 45.0W
被引数: 704
引用论文

引用论文

Gradient cross-correlation algorithm for scene-based Shack-Hartmann wavefront sensing
err2018-06-21
err13
errOAAI
errWang, Y.; Chen, X.; Cao, Z.; Zhang, X.; Liu, C.; Mu, Q.
err分享
err收藏
Alteration of Tear Mucin 5AC in Office Workers Using Visual Display Terminals使用视觉显示终端改变办公室工作人员的泪液粘蛋白5AC
err2014-08-01
err0
errOAAI
errYuichi Uchino; Miki Uchino; Norihiko Yokoi; Murat Dogru; Motoko Kawashima; Naoko Okada; Takaaki Inaba; Shusaku Tamaki; Aoi Komuro; Yukiko Sonomura; Hiroaki Kato; Pablo Argüeso; Shigeru Kinoshita; Kazuo Tsubota
err分享
err收藏
err分享
err收藏
Behavior and water needs of sesame under different irrigation regimes: III. Production and hydric efficiency
err2017-03-30
err0
errOAAI
errRodrigues Pereira Jose; Orlando Carvallo Guerra Hugo; Henrique Zonta Joao; Renato Cortez Bezerra Jose; Samara Araujo Barbosa de Almeida Erica; Pereira Araujo Whellyson
err分享
err收藏
Adaptive cross-correlation algorithm for extended scene Shack-Hartmann wavefront sensing
err2008-01-16
err40
PREAI
errSidick, Erkin; Green, Joseph J.; Morgan, Rhonda M.; Ohara, Catherine M.; Redding, David C.
err分享
err收藏
err分享
err收藏
INSTRUMENT DESCRIPTION AND PERFORMANCE EVALUATION OF A HIGH-ORDER ADAPTIVE OPTICS SYSTEM FOR THE 1 m NEW VACUUM SOLAR TELESCOPE AT FUXIAN SOLAR OBSERVATORY
err2016-12-19
err38
PREAI
errRao, Changhui; Zhu, Lei; Rao, Xuejun; Zhang, Lanqiang; Bao, Hua; Kong, Lin; Guo, Youming; Zhong, Libo; Ma, Xue' An; Li, Mei; Wang, Cheng; Zhang, Xiaojun; Fan, Xinlong; Chen, Donghong; Feng, Zhongyi; Gu, Naiting; Liu, Yangyi
err分享
err收藏
Adaptive optics based on machine learning: a review基于机器学习的自适应光学: 综述
err2022-01-01
err105
errOAAI
errGuo, Youming; Zhong, Libo; Min, Lei; Wang, Jiaying; Wu, Yu; Chen, Kele; Wei, Kai; Rao, Changhui
err分享
err收藏
学者 查看更多内容