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

Solmaz Hajmohammadi; Saeid Nooshabadi

doi:10.1117/1.OE.56.4.043104

19 April 2017 Parallel blind deconvolution reconstruction using phase diversity for three-dimensional imaging

Solmaz Hajmohammadi, Saeid Nooshabadi

Author Affiliations +

Optical Engineering, Vol. 56, Issue 4, 043104 (April 2017). https://doi.org/10.1117/1.OE.56.4.043104

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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Solmaz Hajmohammadi and Saeid Nooshabadi "Parallel blind deconvolution reconstruction using phase diversity for three-dimensional imaging," Optical Engineering 56(4), 043104 (19 April 2017). https://doi.org/10.1117/1.OE.56.4.043104

Received: 12 January 2017; Accepted: 31 March 2017; Published: 19 April 2017

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