Convergence properties of hybrid blind deconvolution

David Charles Dayton; Steven C. Sandven

doi:10.1117/12.211936

15 June 1995 Convergence properties of hybrid blind deconvolution

David Charles Dayton, Steven C. Sandven

Proceedings Volume 2471, Atmospheric Propagation and Remote Sensing IV; (1995) https://doi.org/10.1117/12.211936
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

The multi-frame blind deconvolution algorithm is considered for processing astronomical speckle images when only a few frames of data are collected. It has been noted that when the speckle data contains even moderate amounts of shot noise the algorithm often converges to the trivial point solution. The convergence properties of the Knox-Thompson algorithm are well understood, however when only a few frames of data are used, the algorithm often contains false structure referred to as processing artifacts. In this paper we consider penalized blind convolution as a `clean up' for the Knox-Thompson algorithm. The utility of this combination is demonstrated images of the Jovian moon Ganymede taken on a 1.5 meter telescope.

Citation Download Citation

David Charles Dayton and Steven C. Sandven "Convergence properties of hybrid blind deconvolution", Proc. SPIE 2471, Atmospheric Propagation and Remote Sensing IV, (15 June 1995); https://doi.org/10.1117/12.211936

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