
Proceedings Paper
Active illumination computational imaging for optical super resolution, 3D topography, and indirect imagingFormat | Member Price | Non-Member Price |
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Paper Abstract
Structured illumination has been utilized to super-resolve microscopic objects and provide topographic information in computer vision applications. Motivated by the achievements in these fields and leveraging techniques found in astronomical sparse aperture systems, an approach is developed to super-resolve macroscopic objects in typical real world scenarios. The challenges of super-resolving uncontrolled 3D environments are addressed. An approach is presented which enables the collection of 3D topographic information while super-resolving. These techniques use incoherent illumination to resolve spatial detail in an intensity image. For indirect imaging scenarios, this approach is adapted with structured coherent illumination to super-resolve phase at a distance.
Paper Details
Date Published: 1 May 2017
PDF: 10 pages
Proc. SPIE 10222, Computational Imaging II, 1022202 (1 May 2017); doi: 10.1117/12.2266478
Published in SPIE Proceedings Vol. 10222:
Computational Imaging II
Abhijit Mahalanobis; Amit Ashok; Lei Tian; Jonathan C. Petruccelli; Kenneth S. Kubala, Editor(s)
PDF: 10 pages
Proc. SPIE 10222, Computational Imaging II, 1022202 (1 May 2017); doi: 10.1117/12.2266478
Show Author Affiliations
Marc P. Christensen, Southern Methodist Univ. (United States)
Prasanna Rangarajan, Southern Methodist Univ. (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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