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Proceedings Paper

Joint deconvolution of adaptive optics images from slope measurements of wavefront sensor
Author(s): Bo Chen; Ze-xun Geng; Yang Yang; Ya-xin Zhang; Zhen-lei Zhao
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Paper Abstract

The atmospheric turbulence severely limits the angular resolution of ground based telescopes. When using Adaptive Optics (AO) compensation, the wavefront sensor data permit the estimation of the residual PSF. Yet, this estimation is imperfect, and a deconvolution is required for reaching the diffraction limit. It is a powerful and low-cost high-resolution imaging technique designed to compensate for the image degradation due to atmospheric turbulence. A joint deconvolution method based on slope measurements for AO image is presented. It deduces from a Bayesian framework in the context of imaging through turbulence with adaptive optics. It takes into account the noise in the images and in the Hartmann-Shack wavefront sensor measurements and the available a priori information on the object to be restored as well as on the wave fronts. Deconvolution results are presented for experimental data.

Paper Details

Date Published: 15 November 2007
PDF: 8 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678608 (15 November 2007); doi: 10.1117/12.740124
Show Author Affiliations
Bo Chen, Information Engineering Univ. (China)
Guilin Air Force Academy (China)
Ze-xun Geng, Information Engineering Univ. (China)
Yang Yang, Guilin Air Force Academy (China)
Ya-xin Zhang, Information Engineering Univ. (China)
Zhen-lei Zhao, Information Engineering Univ. (China)

Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition
Tianxu Zhang; Tianxu Zhang; Carl Anthony Nardell; Carl Anthony Nardell; Hanqing Lu; Duane D. Smith; Hangqing Lu, Editor(s)

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