Deconvolution of adaptive optics images using the object autocorrelation and positivity

Jean-Marc Conan; Laurent M. Mugnier; Thierry Fusco; Vincent Michau; Gerard Rousset

doi:10.1117/12.290169

17 October 1997 Deconvolution of adaptive optics images using object autocorrelation and positivity

Jean-Marc Conan, Laurent M. Mugnier, Thierry Fusco, Vincent Michau, Gerard Rousset

Proceedings Volume 3126, Adaptive Optics and Applications; (1997) https://doi.org/10.1117/12.290169
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

Abstract

Adaptive Optics systems provide a real time compensation for atmospheric turbulence, which severely limits the resolution of large telescopes. However, the correction is often only partial and a deconvolution is required to reach the telescope diffraction limit. The need for a regularized deconvolution is discussed, and a Maximum A Posteriori based deconvolution technique is presented. This technique incorporates a positivity constraint and the knowledge of the object Power Spectral Density. This method is then extended to the case of an unknown PSF. Deconvolution results are presented for both simulated and experimental data.

Citation Download Citation

Jean-Marc Conan, Laurent M. Mugnier, Thierry Fusco, Vincent Michau, and Gerard Rousset "Deconvolution of adaptive optics images using object autocorrelation and positivity", Proc. SPIE 3126, Adaptive Optics and Applications, (17 October 1997); https://doi.org/10.1117/12.290169

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