Parallel blind deconvolution reconstruction using phase diversity for three-dimensional imaging
Document Type
Article
Publication Date
4-19-2017
Department
Department of Electrical and Computer Engineering; Center for Scalable Architectures and Systems
Abstract
Phase diversity (PD) is the special case of multiframe blind deconvolution algorithm, where an object is observed with a stack intentionally defocused image. The known defocused information between phases is used to estimate the object and aberration function. This paper presents a parallel three-dimensional (3-D) wavefront aberration estimation using blind deconvolution. We used multiplane PD for widefield fluorescence microscopy images of 3-D objects. Parallel multiplane PD yields a speedup factor of 4.33 with respect to the counterpart sequential algorithm for an image size of 256×256. We used the outcome of the PD algorithm to generate 3-D point cloud data from images from one view.
Publication Title
Optical Engineering
Recommended Citation
Hajmohammadi, S.,
&
Nooshabadi, S.
(2017).
Parallel blind deconvolution reconstruction using phase diversity for three-dimensional imaging.
Optical Engineering,
56(4).
http://doi.org/10.1117/1.OE.56.4.043104
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/1139