Supersampling multiframe blind deconvolution resolution enhancement of adaptive-optics-compensated imagery of LEO satellites

2000 ◽  
Author(s):  
David R. Gerwe ◽  
David J. Lee ◽  
Jeffrey D. Barchers
Keyword(s):  
Adaptive Optics ◽  
Blind Deconvolution ◽  
Resolution Enhancement ◽  
Leo Satellites

scholarly journals Marginal blind deconvolution of adaptive optics retinal images

2011 ◽  
Vol 19 (23) ◽  
pp. 23227 ◽  
Author(s):  
L. Blanco ◽  
L. M. Mugnier
Keyword(s):  
Adaptive Optics ◽  
Blind Deconvolution ◽  
Retinal Images

scholarly journals 9.5. The “double nucleus” of M31 in J, H, and K

1998 ◽  
Vol 184 ◽  
pp. 391-392
Author(s):  
P. Hinz ◽  
K. Hege ◽  
D. McCarthy ◽  
M. Lloyd-Hart ◽  
F. Melia
Keyword(s):  
Adaptive Optics ◽  
Near Infrared ◽  
Blind Deconvolution ◽  
Hubble Space Telescope ◽  
Wiener Filter ◽  
Diffraction Limit ◽  
Infrared Observations ◽  
Double Nucleus ◽  
Filter Algorithms ◽  
Adaptive Optics System

Hubble Space Telescope images of the nucleus of M31 show a double-peaked structure with the primary peak being offset from the center by approximately 0.5″. We observed the central 13″ of M31 in the J, H, and Ks passbands to determine the nuclear structure in the near-infrared. Observations were taken at the MMT Observatory, using a low-order adaptive optics system, FASTTRAC II (Gray et. al. 1995). The diffraction limit for the system is 0.25″ in K band. PSF images showed correction to 0.5″ FWHM. Uncorrected images showed the seeing to be about 1″. The images were deconvolved using several methods to check for consistency. We used Iterative-Blind Deconvolution, Richardson-Lucy, and Wiener filter algorithms, getting similar results for each. Measurements suggest the PSF in the deconvolved images is approximately 0.35″ FWHM.

scholarly journals Blind deconvolution in astronomy with adaptive optics: the parametric marginal approach

2020 ◽  
Vol 496 (4) ◽  
pp. 4209-4220 ◽  
Author(s):  
R J-L Fétick ◽  
L M Mugnier ◽  
T Fusco ◽  
B Neichel
Keyword(s):  
Adaptive Optics ◽  
Blind Deconvolution ◽  
Simulated Data ◽  
Processing Technique ◽  
Post Processing ◽  
Very Large Telescope ◽  
Deconvolution Technique ◽  
Spread Function ◽  
Isolated Point ◽  
Correct Image

ABSTRACT One of the major limitations of using adaptive optics (AO) to correct image post-processing is the lack of knowledge about the system’s point spread function (PSF). The PSF is not always available as direct imaging on isolated point-like objects, such as stars. The use of AO telemetry to predict the PSF also suffers from serious limitations and requires complex and yet not fully operational algorithms. A very attractive solution is to estimate the PSF directly from the scientific images themselves, using blind or myopic post-processing approaches. We demonstrate that such approaches suffer from severe limitations when a joint restitution of object and PSF parameters is performed. As an alternative, here we propose a marginalized PSF identification that overcomes this limitation. In this case, the PSF is used for image post-processing. Here we focus on deconvolution, a post-processing technique to restore the object, given the image and the PSF. We show that the PSF estimated by marginalization provides good-quality deconvolution. The full process of marginalized PSF estimation and deconvolution constitutes a successful blind deconvolution technique. It is tested on simulated data to measure its performance. It is also tested on experimental AO images of the asteroid 4-Vesta taken by the Spectro-Polarimetric High-contrast Exoplanet Research (SPHERE)/Zurich Imaging Polarimeter (Zimpol) on the Very Large Telescope to demonstrate application to on-sky data.

scholarly journals Nanodiamonds enable adaptive-optics enhanced, super-resolution, two-photon excitation microscopy

2019 ◽  
Author(s):  
Graeme E. Johnstone ◽  
Gemma S. Cairns ◽  
Brian R. Patton
Keyword(s):  
Adaptive Optics ◽  
Point Spread Function ◽  
Size Range ◽  
Resolution Enhancement ◽  
Super Resolution ◽  
Two Photon ◽  
Point Spread ◽  
Photon Excitation ◽  
Spread Function ◽  
Photo Stability

Particles of diamond in the 5 to 100 nm size range, known as nanodiamond, have shown promise as robust fluorophores for optical imaging. We demonstrate here that, due to their photo-stability, they are not only suitable for two-photon imaging, but they allow significant resolution enhancement when combined with computational super-resolution techniques. We observe a resolution of 42.5 nm when processing two-photon images with the Super-Resolution Radial Fluctuations algorithm. We show manipulation of the point-spread function of the microscope using adaptive optics. This demonstrates how the photostability of nanodiamond can also be of use when characterising adaptive optics technologies or testing the resilience of super-resolution or aberration correction algorithms.

scholarly journals A convergent blind deconvolution method for post-adaptive-optics astronomical imaging

2013 ◽  
Vol 29 (6) ◽  
pp. 065017 ◽  
Author(s):  
M Prato ◽  
A La Camera ◽  
S Bonettini ◽  
M Bertero
Keyword(s):  
Adaptive Optics ◽  
Blind Deconvolution ◽  
Deconvolution Method ◽  
Astronomical Imaging
Sign in / Sign up

Export Citation Format

Share Document