Speckle reduction by I-divergence regularization in optical coherence tomography
JOSA A, Vol. 22, Issue 11, pp. 2366-2371 (2005)
http://dx.doi.org/10.1364/JOSAA.22.002366
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Abstract
For optical coherence tomography (OCT), ultrasound, synthetic-aperture radar, and other coherent ranging methods, speckle can cause spurious detail that detracts from the utility of the image. It is a problem inherent to imaging densely scattering objects with limited bandwidth. Using a method of regularization by minimizing Csiszar’s I-divergence measure, we derive a method of speckle minimization that produces an image that both is consistent with the known data and extrapolates additional detail based on constraints on the magnitude of the image. This method is demonstrated on a test image and on an OCT image of a Xenopus laevis tadpole.
© 2005 Optical Society of America
OCIS Codes
(100.3010) Image processing : Image reconstruction techniques
(110.4500) Imaging systems : Optical coherence tomography
ToC Category:
Imaging Systems
Citation
Daniel L. Marks, Tyler S. Ralston, and Stephen A. Boppart, "Speckle reduction by I-divergence regularization in optical coherence tomography," J. Opt. Soc. Am. A 22, 2366-2371 (2005)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-22-11-2366
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