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Proceedings Paper

Maximum-likelihood estimation technique for the registration of coherent speckle images in the presence of noise
Author(s): David F. Olson; Barbara Tehan Landesman
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Paper Abstract

The recovered object in speckle imaging is generally an accumulated average of instantaneous speckled image frames. Misregistration of individual frames with respect to each other degrades image quality by blurring the average resultant image. In particular, atmospheric perturbations can cause random tilts in the phase of the detected speckle pattern, which tilts in turn induce random translations in each reconstructed image. Various techniques have been proposed to deal with this registration problem. We present here a maximum likelihood estimator to estimate and correct for the random tilts when each speckle frame is further corrupted by shot noise. The noise is modeled as a Poisson- distributed random variable. Results of this correction technique are compared with the performance of previous registration routines.

Paper Details

Date Published: 25 October 1996
PDF: 11 pages
Proc. SPIE 2827, Digital Image Recovery and Synthesis III, (25 October 1996); doi: 10.1117/12.255075
Show Author Affiliations
David F. Olson, Applied Technology Associates, Inc. (United States)
Barbara Tehan Landesman, Applied Technology Associates, Inc. (United States)

Published in SPIE Proceedings Vol. 2827:
Digital Image Recovery and Synthesis III
Paul S. Idell; Timothy J. Schulz, Editor(s)

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