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Proceedings Paper

Lensless computational imaging using 3D printed transparent elements
Author(s): Gabriel C. Birch; Charles F. LaCasse; Amber L. Dagel; Bryana L. Woo
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Paper Abstract

Lensless imaging systems have the potential to provide new capabilities for lower size and weight configuration than traditional imaging systems. Lensless imagers frequently utilize computational imaging techniques, which moves the complexity of the system away from optical subcomponents and into a calibration process whereby the measurement matrix is estimated.

We report on the design, simulation, and prototyping of a lensless imaging system that utilizes a 3D printed optically transparent random scattering element. Development of end-to-end system simulations, which includes simulations of the calibration process, as well as the data processing algorithm used to generate an image from the raw data are presented. These simulations utilize GPU-based raytracing software, and parallelized minimization algorithms to bring complete system simulation times down to the order of seconds.

Hardware prototype results are presented, and practical lessons such as the effect of sensor noise on reconstructed image quality are discussed. System performance metrics are proposed and evaluated to discuss image quality in a manner that is relatable to traditional image quality metrics. Various hardware instantiations are discussed.

Paper Details

Date Published: 1 May 2017
PDF: 10 pages
Proc. SPIE 10222, Computational Imaging II, 1022208 (1 May 2017); doi: 10.1117/12.2263010
Show Author Affiliations
Gabriel C. Birch, Sandia National Labs. (United States)
Charles F. LaCasse, Sandia National Labs. (United States)
Amber L. Dagel, Sandia National Labs. (United States)
Bryana L. Woo, Sandia National Labs. (United States)


Published in SPIE Proceedings Vol. 10222:
Computational Imaging II
Abhijit Mahalanobis; Amit Ashok; Lei Tian; Jonathan C. Petruccelli; Kenneth S. Kubala, Editor(s)

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