Imaging Components, Systems, and Processing

Parallel blind deconvolution reconstruction using phase diversity for three-dimensional imaging

[+] Author Affiliations
Solmaz Hajmohammadi, Saeid Nooshabadi

Michigan Technological University, Department of Electrical and Computer Engineering, Houghton, Michigan, United States

Opt. Eng. 56(4), 043104 (Apr 19, 2017). doi:10.1117/1.OE.56.4.043104
History: Received January 12, 2017; Accepted March 31, 2017
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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.

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© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

Solmaz Hajmohammadi and Saeid Nooshabadi
"Parallel blind deconvolution reconstruction using phase diversity for three-dimensional imaging", Opt. Eng. 56(4), 043104 (Apr 19, 2017). ; http://dx.doi.org/10.1117/1.OE.56.4.043104


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