Prediction of the off-axis point spread function for large field of view astronomical adaptive optics images

2005 ◽  
Author(s):  
Mathieu Aubailly ◽  
Michael C. Roggemann ◽  
Timothy J. Schulz
Keyword(s):  
Adaptive Optics ◽  
Point Spread Function ◽  
Field Of View ◽  
Large Field ◽  
Point Spread ◽  
Spread Function

Adaptive Optics for Vision: The Eye's Adaptation to Point Spread Function

2003 ◽  
Vol 19 (5) ◽  
Author(s):  
Pablo Artal ◽  
Li Chen ◽  
Enrique J Fernández ◽  
Ben Singer ◽  
Silvestre Manzanera ◽  
...  
Keyword(s):  
Adaptive Optics ◽  
Point Spread Function ◽  
Point Spread ◽  
Spread Function

Improving position accuracy for telescopes with small aperture and wide field of view utilizing point spread function modelling

2020 ◽  
Vol 497 (3) ◽  
pp. 4000-4008
Author(s):  
Rongyu Sun ◽  
Shengxian Yu ◽  
Peng Jia ◽  
Changyin Zhao
Keyword(s):  
Point Spread Function ◽  
Large Scale ◽  
Field Of View ◽  
Wide Field ◽  
Position Measurement ◽  
Small Aperture ◽  
Position Accuracy ◽  
Point Spread ◽  
Wide Field Of View ◽  
Spread Function

ABSTRACT Telescopes with a small aperture and a wide field of view are widely used and play a significant role in large-scale state-of-the-art sky survey applications, such as transient detection and near-Earth object observations. However, owing to the specific defects caused by optical aberrations, the image quality and efficiency of source detection are affected. To achieve high-accuracy position measurements, an innovative technique is proposed. First, a large number of raw images are analysed using principal component analysis. Then, the effective point spread function is reconstructed, which reflects the state of the telescope and reveals the characteristics of the imaging process. Finally, based on the point spread function model, the centroids of star images are estimated iteratively. To test the efficiency and reliability of our algorithm, a large number of simulated images are produced, and a telescope with small aperture and wide field of view is utilized to acquire the raw images. The position measurement of sources is performed using our novel method and two other common methods on these data. Based on a comparison of the results, the improvement is investigated, and it is demonstrated that our proposed technique outperforms the others on position accuracy. We explore the limitations and potential gains that may be achieved by applying this technique to custom systems designed specifically for wide-field astronomical applications.

scholarly journals Exploiting the point spread function for optical imaging through a scattering medium based on deconvolution method

2019 ◽  
Vol 12 (04) ◽  
pp. 1930005 ◽  
Author(s):  
Hexiang He ◽  
Xiangsheng Xie ◽  
Yikun Liu ◽  
Haowen Liang ◽  
Jianying Zhou
Keyword(s):  
Optical Imaging ◽  
Point Spread Function ◽  
Optical Memory ◽  
Ease Of Use ◽  
Large Field ◽  
Depth Of Field ◽  
Deconvolution Method ◽  
Scattering Medium ◽  
Point Spread ◽  
Spread Function

Visual perception of humans penetrating turbid medium is hampered by scattering. Various techniques have been prompted recently to recover optical imaging through turbid materials. Among them, speckle correlation based on deconvolution is one of the most attractive methods taking advantage of high imaging quality, robustness, ease-of-use, and ease-of-integration. By exploiting the point spread function (PSF) of the scattering system, large Field-of-View, extended Depth-of-Field, noninvasiveness and spectral resoluation are now available as successful solutions for high quality and multifunctional image reconstruction. In this paper, we review the progress of imaging through a scattering medium based on deconvolution method, including the principle, the breakthrough of the limitation of the optical memory effect, the improvement of the deconvolution algorithm and innovative applications.

scholarly journals New algorithms for adaptive optics point-spread function reconstruction

2006 ◽  
Vol 457 (1) ◽  
pp. 359-363 ◽  
Author(s):  
E. Gendron ◽  
Y. Clénet ◽  
T. Fusco ◽  
G. Rousset
Keyword(s):  
Adaptive Optics ◽  
Point Spread Function ◽  
Point Spread ◽  
Spread Function ◽  
New Algorithms ◽  
Function Reconstruction

Myopic deconvolution of adaptive optics images by use of object and point-spread function power spectra

1998 ◽  
Vol 37 (21) ◽  
pp. 4614 ◽  
Author(s):  
Jean-Marc Conan ◽  
Laurent M. Mugnier ◽  
Thierry Fusco ◽  
Vincent Michau ◽  
Gérard Rousset
Keyword(s):  
Adaptive Optics ◽  
Point Spread Function ◽  
Power Spectra ◽  
Point Spread ◽  
Spread Function
Sign in / Sign up

Export Citation Format

Share Document