Point-spread function reconstruction in ground-based astronomy by l^1-l^p model-Reference-Cited by-同舟云学术

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Point-spread function reconstruction in ground-based astronomy by l^1-l^p model

Published:2012-10-09 Issue:11 Volume:29 Page:2263
ISSN:1084-7529
Container-title:Journal of the Optical Society of America A
language:en
Short-container-title:J. Opt. Soc. Am. A

Author:

Chan Raymond H.,Yuan Xiaoming,Zhang Wenxing

Funder

Hong Kong Research Grants Council (HKRGC)

Publisher

The Optical Society

Subject

Computer Vision and Pattern Recognition,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference29 articles.

1. Nonlinear total variation based noise removal algorithms

2. Total variation blind deconvolution

3. Iterative statistical approach to blind image deconvolution

4. Wavefront Reconstruction Methods for Adaptive Optics Systems on Ground-Based Telescopes

5. Sensing wave-front amplitude and phase with phase diversity

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1. PhaseNet: A Deep Learning Based Phase Reconstruction Method for Ground-Based Astronomy;SIAM Journal on Imaging Sciences;2024-07-15

2. Generalized variational framework with minimax optimization for parametric blind deconvolution;Inverse Problems;2024-03-05

3. A phase model using the Huber norm for estimating point spread function under frozen flow hypothesis;Journal of Computational and Applied Mathematics;2021-12

4. High-resolution wavefront reconstruction using multiframe Shack–Hartmann wavefront sensor measurements;Optical Engineering;2020-11-24

5. Space-variant point spread function measurement and interpolation at any depth based on single-pixel imaging;Optics Express;2020-03-17

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