Three hundred and fourty-nine unit adaptive optical wavefront processor

Jian-li, 王建立 Wang; Yu-lei, 董玉磊 Dong; Kai-nan, 姚凯男 Yao; Xu-dong, 林旭东 Lin; Le-qiang, 杨乐强 Yang; Xin-yue, 刘欣悦 Liu; Liang, 王亮 Wang; Lu, 陈 璐 Chen

doi:10.3788/ope.20182605.1007

Cited by 3 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It must be used in conjunction with a 241-actuator DM to obtain the image of Jupiter's Ganymede in the visible waveband. Due to its complicated coupling and control problems, no follow-up report on imaging in the visible waveband is available, and since 2010, the number of DM actuators has not increased [9,10].…”

Section: Introductionmentioning

confidence: 99%

Eigenmode Wavefront Decoupling Algorithm for LC–DM Adaptive Optics Systems

Wang

Jin

2022

Applied Sciences

View full text Add to dashboard Cite

To realize the decoupling control of the dual corrector of liquid crystal (LC)–deformable mirror (DM) adaptive optics (AO) systems and prevent the loss of correction ability induced by coupling aberrations, a wavefront decoupling method based on DM eigenmodes was proposed. The coupling relationship of two correctors was studied, and the distribution of aberrations corrected using the DM and LC was investigated. First, a DM eigenmode matrix was derived according to the DM influence function. Then, aberrations were decomposed according to the Strehl ratio, and the projection of the LC response matrix on the DM eigenmode matrix, that is, the coupling term, was derived. Before using the LC corrector, the coupling item was eliminated for the decoupling of the two correctors, and the decoupling effect was verified through simulations. Finally, a 2 m telescope LC–DM AO system was developed to validate the proposed method. The simulation and experimental results showed that the root mean square of the DM-corrected residual after 55 eigenmodes’ correction was 0.09 μm. After decoupling correction, the resolution of the 700–1700 nm wide band improved from 1.1 to 1 times the diffraction limit, which is 1.2 times better than that obtained using the traditional Zernike mode correction.

show abstract

Section: Introductionmentioning

confidence: 99%

Eigenmode Wavefront Decoupling Algorithm for LC–DM Adaptive Optics Systems

Wang

Jin

2022

Applied Sciences

View full text Add to dashboard Cite

show abstract

Semi-supervised correction model for turbulence-distorted images

Wu,

Cheng,

Cao

et al. 2024

Opt. Express

View full text Add to dashboard Cite

Significant progress has been made in addressing turbulence distortion in recent years, but persistent challenges remain. Firstly, existing methods heavily rely on fully supervised optimization strategies and synthetic datasets, posing difficulties in effectively utilizing unlabeled real data for training. Secondly, most approaches construct networks in a straightforward manner, overlooking the representation model of phase distortion and point spread function (PSF) in spatial and channel dimensions. This oversight restricts the potential for distortion correction. To address these challenges, this paper proposes a semi-supervised atmospheric turbulence correction method based on the mean-teacher framework. Our approach imposes constraints on the unlabeled data of student networks using pseudo-labels generated by teacher networks, thereby enhancing the generalization ability by leveraging information from unlabeled data. Furthermore, we introduce to use no-reference image quality assessment criterion to select the most reliable pseudo-label for each unlabeled sample by predicting physical parameters that indicating the level of degradation. Additionally, we propose to combine sliding window-based self-attention with channel attention to facilitate local-global context interaction. This design is inspired by the representation of phase distortion and PSF, which can be characterized by coefficients and basis functions corresponding to the channel-wise representation of convolutional neural network features. Moreover, the base functions exhibit spatial correlation, akin to Zenike and Airy disks. Experimental results show that the proposed method surpasses state-of-the-art models.

show abstract