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15 November 2007 Joint deconvolution of adaptive optics images from slope measurements of wavefront sensor
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Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 678608 (2007) https://doi.org/10.1117/12.740124
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bo Chen, Ze-xun Geng, Yang Yang, Ya-xin Zhang, and Zhen-lei Zhao "Joint deconvolution of adaptive optics images from slope measurements of wavefront sensor", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678608 (15 November 2007); https://doi.org/10.1117/12.740124
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