Myopic deconvolution of Adaptive Optics Images

Details Myopic deconvolution of Adaptive Optics Images Myopic deconvolution of Adaptive Optics Images

Sep 1999

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1999msngr..97...14c&link_type=abstract

The Messenger, vol. 97, p. 14-22

Physics

Optics

10

Scientific paper

Adaptive Optics produces diffractionlimited images, always leaving a residual uncorrected image and sometime PSF artifacts due, e.g., to the deformable mirror. Post-processing is in some cases necessary to complete the correction and fully restore the image. The results of applying a multi-frame iterative deconvolution algorithm to simulated and actual Adaptive Optics data are presented, showing examples of the application and demonstrating the usefulness of the technique in Adaptive Optics image post-processing. The advantage of the algorithm is that the frame-to-frame variability of the PSF is beneficial to its convergence, and the partial knowledge of the calibrated PSF during the observations is fully exploited for the convergence. The analysis considers the aspects of morphology, astrometry, photometry and the effect of noise in the images. Point sources and extended objects are considered.

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