MISTRAL: Myopic deconvolution method applied to ADONIS and to simulated VLT-NAOS images

Details MISTRAL: Myopic deconvolution method applied to ADONIS and to simulated VLT-NAOS images MISTRAL: Myopic deconvolution method applied to ADONIS and to simulated VLT-NAOS images

Mar 2000

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2000msngr..99...38c&link_type=abstract

The Messenger, vol. 99, p. 38-45

Physics

Optics

5

Scientific paper

The performance of high-resolution imaging with large astronomical telescopes is severely limited by the atmospheric turbulence. Adaptive optics [1, 2, 3] (AO) offers a real-time compensation of the turbulence. The correction is however only partial [2, 4, 5, 6, 7] and the long-exposure images must be deconvolved to restore the fine details of the object. Great care must be taken in the deconvolution process if one wants to obtain a reliable restoration with good photometric precision. Two aspects add to the difficulty: the fact that the residual point spread function (PSF) is usually not perfectly known [8, 9, 10], and the fact that astronomical objects are usually a mix of sharp structures and smooth areas. “MISTRAL” (Myopic Iterative STep Preserving ALgorithm) [11, 8] has been developed to account for these two points. It is based on a rigorous Bayesian approach which allows us to easily account for the noise in the image, the imprecise knowledge of the PSF, and the available a priori information on the object (spatial structure, positivity…). A specific edge preserving object prior is proposed, which is in particular well adapted for planetary-like objects. The notion of AO partial correction is first discussed in Section 2. The principle of our deconvolution technique is briefly summarised in Section 3. In Section 4, the photometric accuracy of MISTRAL is first demonstrated on simulated AO images. The simulation parameters correspond to NAOS, the AO system of the VLT. MISTRAL is then applied to ADONIS images of Io taken at thermal wavelengths using the COMIC camera. This allows an accurate mapping of Io's surface volcanic activity. We also used our deconvolution method on broadband filter (J, H, K) images of Uranus taken with SHARPII+. The structures of the rings and its innermost satellites have been successfully detected.

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