Maximum-likelihood estimation technique for the registration of coherent speckle images in the presence of noise

David F. Olson; Barbara Tehan Landesman

doi:10.1117/12.255075

25 October 1996 Maximum-likelihood estimation technique for the registration of coherent speckle images in the presence of noise

David F. Olson, Barbara Tehan Landesman

Author Affiliations +

Proceedings Volume 2827, Digital Image Recovery and Synthesis III; (1996) https://doi.org/10.1117/12.255075
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

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.

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David F. Olson and Barbara Tehan Landesman "Maximum-likelihood estimation technique for the registration of coherent speckle images in the presence of noise", Proc. SPIE 2827, Digital Image Recovery and Synthesis III, (25 October 1996); https://doi.org/10.1117/12.255075

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