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

Hongxi Ren, Bing Dong*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)27951-27960
Number of pages10
JournalOptics Express
Volume29
Issue number17
DOIs
Publication statusPublished - 16 Aug 2021

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