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3D deconvolution of adaptive-optics corrected retinal images
- Source :
- Proceedings of the SPIE, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XIII., Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XIII., Jan 2006, San Jose, California, United States. pp.144-151, ⟨10.1117/12.645233⟩
- Publication Year :
- 2006
- Publisher :
- SPIE, 2006.
-
Abstract
- We report on a deconvolution method developed in a Bayesian framework for adaptive-optics corrected images of the human retina. The method takes into account the three-dimensional nature of the imaging process; it incorporates a positivity constraint and a regularization metric in order to avoid uncontrolled noise amplification. This regularization metric is designed to simultaneously smooth noise out and preserve edges, while staying convex in order to keep the solution unique. We demonstrate the effectiveness of the method, and in particular of the edge-preserving regularization, on realistic simulated data.
- Subjects :
- business.industry
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Regular polygon
Regularization (mathematics)
Optics
Three dimensional imaging
Simulated data
Bayesian framework
Deconvolution
[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
business
Adaptive optics
Algorithm
Image restoration
Subjects
Details
- ISSN :
- 0277786X
- Database :
- OpenAIRE
- Journal :
- Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XIII
- Accession number :
- edsair.doi.dedup.....a44685525659c69a882c8a988a9952ed