Parallel multiframe blind deconvolution using wavelength diversity

Details Parallel multiframe blind deconvolution using wavelength diversity Parallel multiframe blind deconvolution using wavelength diversity

Oct 2004

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004spie.5562...58i&link_type=abstract

Image Reconstruction from Incomplete Data III. Edited by Bones, Philip J.; Fiddy, Michael A.; Millane, Rick P. Proceedings of

Computer Science

2

Scientific paper

The resolution of images captured through ground-based telescopes is generally limited by blurring effects due to atmospheric turbulence. We have developed a method to estimate both the original objects and the blurring function from a sequence of noisy blurred images, simultaneously collected at different wavelengths (wavelength diversity). The assumption of common path-length errors across the diversity channels allows for a parallel deconvolution procedure that exploits this coupling. In contrast with previous work, no a priori assumptions about the object"s intensity distribution are required. The method is described, and preliminary results with real images collected with a bench-scale imaging system are presented, demonstrating the promise of the algorithm.

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