Blind deconvolution of speckle images constrained by wavefront sensing data

W-Y. Valerie Leung; Richard M. Clare; Richard G. Lane

doi:10.1117/12.452392

23 December 2002 Blind deconvolution of speckle images constrained by wavefront sensing data

W-Y. Valerie Leung, Richard M. Clare, Richard G. Lane

Proceedings Volume 4792, Image Reconstruction from Incomplete Data II; (2002) https://doi.org/10.1117/12.452392
Event: International Symposium on Optical Science and Technology, 2002, Seattle, WA, United States

Abstract

The predominant effect of the atmosphere on the incoming wavefront of an astronomical object is the introduction of a phase distortion, resulting in a speckle image at the ground-based telescope. Deconvolution from wavefront sensing is an imaging technique used to compensate for the degradation due to atmospheric turbulence, where the point spread function is estimated from the wavefront sensing data. However in this approach any information in the speckle images regarding the point spread function is not utilised. This paper investigates the joint application of wavefront sensing data and speckle images in reconstructing the point spread function and the object in a Bayesian framework. The results on experimental data demonstrate the feasibility of this approach even under very low light levels.

Citation Download Citation

W-Y. Valerie Leung, Richard M. Clare, and Richard G. Lane "Blind deconvolution of speckle images constrained by wavefront sensing data", Proc. SPIE 4792, Image Reconstruction from Incomplete Data II, (23 December 2002); https://doi.org/10.1117/12.452392

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