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Proceedings Paper

Multiframe blind deconvolution and bispectrum processing of atmospherically degraded data: a comparison
Author(s): Charles L. Matson; Kathy J. Schulze; Paul A. Billings; David W. Tyler
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Paper Abstract

We analyze the quality of reconstructions obtained when using the multi-frame blind deconvolution (MFBD) algorithm and the bispectrum algorithm to reconstruct images from atmospherically-degraded data that are corrupted by detector noise. In particular, the quality of reconstructions is analyzed in terms of the fidelity of the estimated Fourier phase spectra. Both the biases and the mean square phase errors of the Fourier spectra estimates are calculated and analyzed. The reason that the comparison is made by looking at the Fourier phase spectra is because both the MFBD and bispectrum algorithms can estimate Fourier phase information from the image data itself without requiring knowledge of the system transfer function, and because Fourier phase plays a dominant role in image quality. Computer-simulated data is used for the comparison in order to be able to calculate true biases and mean square errors in the estimated Fourier phase spectra. For the parameters in this study, the bispectrum algorithm produced less-biased phase estimates in all cases than the MFBD algorithm. The MFBD algorithm produced mean square phase errors comparable to or lower than the bispectrum algorithm for good seeing and few data frames, while the converse is true for many data frames and poor seeing.

Paper Details

Date Published: 23 December 2002
PDF: 12 pages
Proc. SPIE 4792, Image Reconstruction from Incomplete Data II, (23 December 2002); doi: 10.1117/12.451796
Show Author Affiliations
Charles L. Matson, Directed Energy Directorate/Air Force Research Lab. (United States)
Kathy J. Schulze, KJS Consulting (United States)
Paul A. Billings, Textron Systems Corp. (United States)
David W. Tyler, Univ. of New Mexico (United States)


Published in SPIE Proceedings Vol. 4792:
Image Reconstruction from Incomplete Data II
Philip J. Bones; Michael A. Fiddy; Rick P. Millane, Editor(s)

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