Fast dynamic correction algorithm for model-based wavefront sensorless adaptive optics in extended objects imaging

Hongxi Ren, Bing Dong*

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

6 引用 (Scopus)

摘要

A major concern for wavefront sensorless adaptive optics (WFSless AO) is how to improve the algorithm’s efficiency which is critical for dynamic aberration correction. For extended objects and dynamic aberration, a typical model-based WFSless AO algorithm is called “3N” which uses three image measurements to estimate each aberration mode and then corrects it immediately. The three images include an initial aberrated image and two biased images with deliberately introduced predetermined positive or negative modal aberrations. In this paper, an improved algorithm called “2N” that requires only one biased image is proposed. The reduction of one biased image is achieved by the estimation of a parameter that is considered unknown in the 3N algorithm. It is demonstrated that the 2N algorithm can achieve convergence with less image measurements and have better performance in dynamic correction.

源语言英语
页(从-至)27951-27960
页数10
期刊Optics Express
29
17
DOI
出版状态已出版 - 16 8月 2021

指纹

探究 'Fast dynamic correction algorithm for model-based wavefront sensorless adaptive optics in extended objects imaging' 的科研主题。它们共同构成独一无二的指纹。

引用此