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Proceedings Paper

Performance of three reconstruction methods on blurred and noisy images of extended scenes
Author(s): Jean J. Dolne; David R. Gerwe; Michael M. Johnson
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Paper Abstract

Reconstructed scene intensity distribution obtained from deconvolution using three different iterative reconstruction methods: phase diversity, deconvolution, and iterative blind deconvolution approaches are presented. For images degraded with as much as a quarter wavelength of aberration and a signal to noise ratio of 10, we show that the correlation between the `truth' scene and the reconstructed scene is 0.9761 for deconvolution, 0.9680 for phase diversity, and 0.9169 for iterative blind deconvolution. The correlation coefficient becomes even higher as the signal to noise ratio and the aberration strength decrease. In spite of the sometimes severe edge effect, we show that these algorithms as adapted by our group yield relatively decent reconstructed objects as determined visually and by peak correlation coefficient comparison. The success of these adapted algorithms on extended scenes makes them potentially useful in imaging with degraded optical systems.

Paper Details

Date Published: 30 September 1999
PDF: 12 pages
Proc. SPIE 3815, Digital Image Recovery and Synthesis IV, (30 September 1999); doi: 10.1117/12.364126
Show Author Affiliations
Jean J. Dolne, Boeing/Rocketdyne Lasers & Electro-Optics Design (United States)
David R. Gerwe, Boeing/Rocketdyne Lasers & Electro-Optics Design (United States)
Michael M. Johnson, Boeing/Rocketdyne Lasers & Electro-Optics Design (United States)

Published in SPIE Proceedings Vol. 3815:
Digital Image Recovery and Synthesis IV
Timothy J. Schulz; Paul S. Idell, Editor(s)

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