Open AccessImproved model-based wavefront sensorless adaptive optics for extended objects using N + 2 images
Author(s) -
Hongxi Ren,
Bing Dong
Publication year - 2020
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.387913
Subject(s) - zernike polynomials , wavefront , deformable mirror , orthogonality , adaptive optics , optics , metric (unit) , computer science , modal , basis (linear algebra) , basis function , noise (video) , algorithm , artificial intelligence , computer vision , physics , image (mathematics) , mathematics , operations management , geometry , chemistry , quantum mechanics , polymer chemistry , economics
The original model-based wavefront sensorless adaptive optics (WFSless AO) for extended objects uses the low spatial frequency content of images as the metric function and employs 2N + 1 images to correct N Lukosz aberration modes. We propose an improved method that uses the same metric but requires only N + 2 images to correct N aberration modes. The N + 2 method can achieve comparable corrective accuracy but requiring much smaller number of images compared with the 2N + 1 method. The N + 2 method is not only more efficient, but also provides the flexibility of choosing arbitrary basis modes by involving the non-orthogonality between modes in a linear least-squares optimization process. It is demonstrated that the deformable mirror's influence functions modes (IFM), orthogonal mirror modes (OMM) and fitted Zernike modes (FZM) all can be used as modal basis for the N + 2 method to generate biased images. It is also proved that the N + 2 method is robust to image sampling rate and image noise, showing good prospects of applications in various imaging systems.