Parallel multiframe blind deconvolution using wavelength diversity

Harry R. Ingleby; Donald R. McGaughey

doi:10.1117/12.561091

22 October 2004 Parallel multiframe blind deconvolution using wavelength diversity

Proceedings Volume 5562, Image Reconstruction from Incomplete Data III; (2004) https://doi.org/10.1117/12.561091
Event: Optical Science and Technology, the SPIE 49th Annual Meeting, 2004, Denver, Colorado, United States

Abstract

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.

Citation Download Citation

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); https://doi.org/10.1117/12.561091

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