Parallel blind deconvolution reconstruction using phase diversity for three-dimensional imaging
Department of Electrical and Computer Engineering, Center for Scalable Architectures and Systems
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.
Parallel blind deconvolution reconstruction using phase diversity for three-dimensional imaging.
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/1139