Deconvolution methods for image deblurring in optical coherence tomography
JOSA A, Vol. 26, Issue 1, pp. 72-77 (2009)
http://dx.doi.org/10.1364/JOSAA.26.000072
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Abstract
Two-dimensional deconvolution methods are proposed to deblur optical coherence tomography images. One employs a two-dimensional deconvolution with a matrix given by the product of the longitudinal and transversal point-spread functions as its kernel, which can be taken as the general point-spread function of an optical coherence tomography system. The other uses two one-dimensional deconvolutions with the longitudinal and transversal point-spread functions successively. It is shown that the two deconvolution methods can deblur the experimentally obtained optical coherence tomography images effectively.
© 2008 Optical Society of America
OCIS Codes
(100.0100) Image processing : Image processing
(100.1830) Image processing : Deconvolution
(100.3020) Image processing : Image reconstruction-restoration
(110.4500) Imaging systems : Optical coherence tomography
ToC Category:
Image Processing
History
Original Manuscript: June 16, 2008
Revised Manuscript: October 2, 2008
Manuscript Accepted: October 2, 2008
Published: December 12, 2008
Virtual Issues
Vol. 4, Iss. 3 Virtual Journal for Biomedical Optics
Citation
Yiheng Liu, Yanmei Liang, Guoguang Mu, and Xiaonong Zhu, "Deconvolution methods for image deblurring in optical coherence tomography," J. Opt. Soc. Am. A 26, 72-77 (2009)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-26-1-72
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