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Virtual Journal for Biomedical Optics

Virtual Journal for Biomedical Optics


  • Editors: Andrew Dunn and Anthony Durkin
  • Vol. 8, Iss. 5 — Jun. 6, 2013

Noise removal in extended depth of field microscope images through nonlinear signal processing

Ramzi N. Zahreddine, Robert H. Cormack, and Carol J. Cogswell  »View Author Affiliations

Applied Optics, Vol. 52, Issue 10, pp. D1-D11 (2013)

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Extended depth of field (EDF) microscopy, achieved through computational optics, allows for real-time 3D imaging of live cell dynamics. EDF is achieved through a combination of point spread function engineering and digital image processing. A linear Wiener filter has been conventionally used to deconvolve the image, but it suffers from high frequency noise amplification and processing artifacts. A nonlinear processing scheme is proposed which extends the depth of field while minimizing background noise. The nonlinear filter is generated via a training algorithm and an iterative optimizer. Biological microscope images processed with the nonlinear filter show a significant improvement in image quality and signal-to-noise ratio over the conventional linear filter.

© 2013 Optical Society of America

OCIS Codes
(180.6900) Microscopy : Three-dimensional microscopy
(100.4996) Image processing : Pattern recognition, neural networks
(100.4997) Image processing : Pattern recognition, nonlinear spatial filters
(110.7348) Imaging systems : Wavefront encoding

Original Manuscript: November 2, 2012
Revised Manuscript: January 20, 2013
Manuscript Accepted: February 7, 2013
Published: March 11, 2013

Virtual Issues
Vol. 8, Iss. 5 Virtual Journal for Biomedical Optics

Ramzi N. Zahreddine, Robert H. Cormack, and Carol J. Cogswell, "Noise removal in extended depth of field microscope images through nonlinear signal processing," Appl. Opt. 52, D1-D11 (2013)

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