We report on a myopic 3D deconvolution method developed in a Bayesian framework for retinal imaging. Several useful constraints are enforced, notably a longitudinal support constraint similar to the phase diversity technique.
© 2007 OSA
(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
(110.1080) Imaging systems : Active or adaptive optics
G. Chenegros, L. M. Mugnier, F. Lacombe, and M. Glanc, " Phase and Retinal Images Restoration by 3D Phase Diversity.," in Adaptive Optics: Analysis and Methods/Computational Optical Sensing and Imaging/Information Photonics/Signal Recovery and Synthesis Topical Meetings on CD-ROM, OSA Technical Digest (CD) (Optical Society of America, 2007), paper JTuA5.
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