Computer Science
Scientific paper
Oct 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004spie.5578....8i&link_type=abstract
Photonics North 2004: Optical Components and Devices. Edited by Armitage, John C.; Fafard, Simon; Lessard, Roger A.; Lampropoul
Computer Science
Scientific paper
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 for both synthetic computer-generated images and real images collected with a bench-scale imaging system are presented, demonstrating the promise of the algorithm.
Ingleby Harry R.
McGaughey Donald R.
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