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22 October 2004 Parallel multiframe blind deconvolution using wavelength diversity
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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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Harry R. Ingleby and Donald R. McGaughey "Parallel multiframe blind deconvolution using wavelength diversity", Proc. SPIE 5562, Image Reconstruction from Incomplete Data III, (22 October 2004);

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