3D phase diversity: a myopic deconvolution method for short-exposure images: application to retinal imaging
JOSA A, Vol. 24, Issue 5, pp. 1349-1357 (2007)
http://dx.doi.org/10.1364/JOSAA.24.001349
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Abstract
3D deconvolution is an established technique in microscopy that may be useful for low-cost high-resolution imaging of the retina. We report on a myopic 3D deconvolution method developed in a Bayesian framework. This method uses a 3D imaging model, a noise model that accounts for both photon and detector noises, a regularization term that is appropriate for objects that are a mix of sharp edges and smooth areas, a positivity constraint, and a smart parameterization of the point-spread function (PSF) by the pupil phase. It estimates the object and the PSF jointly. The PSF parameterization through the pupil phase constrains the inversion by dramatically reducing the number of unknowns. The joint deconvolution is further constrained by an additional longitudinal support constraint derived from a 3D interpretation of the phase-diversity technique. This method is validated by simulated retinal images.
© 2007 Optical Society of America
OCIS Codes
(010.1080) Atmospheric and oceanic optics : Active or adaptive optics
(100.1830) Image processing : Deconvolution
(100.3020) Image processing : Image reconstruction-restoration
(100.5070) Image processing : Phase retrieval
(100.6890) Image processing : Three-dimensional image processing
(170.6900) Medical optics and biotechnology : Three-dimensional microscopy
ToC Category:
Image Processing
History
Original Manuscript: July 31, 2006
Revised Manuscript: October 2, 2006
Manuscript Accepted: October 3, 2006
Published: April 11, 2007
Virtual Issues
Vol. 2, Iss. 6 Virtual Journal for Biomedical Optics
Citation
Guillaume Chenegros, Laurent M. Mugnier, François Lacombe, and Marie Glanc, "3D phase diversity: a myopic deconvolution method for short-exposure images: application to retinal imaging," J. Opt. Soc. Am. A 24, 1349-1357 (2007)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-24-5-1349
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