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Applied Optics

Applied Optics


  • Editor: James C. Wyant
  • Vol. 47, Iss. 10 — Apr. 1, 2008
  • pp: B1–B10

Thin infrared imaging systems through multichannel sampling

Mohan Shankar, Rebecca Willett, Nikos Pitsianis, Timothy Schulz, Robert Gibbons, Robert Te Kolste, James Carriere, Caihua Chen, Dennis Prather, and David Brady  »View Author Affiliations

Applied Optics, Vol. 47, Issue 10, pp. B1-B10 (2008)

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The size of infrared camera systems can be reduced by collecting low-resolution images in parallel with multiple narrow-aperture lenses rather than collecting a single high-resolution image with one wide-aperture lens. We describe an infrared imaging system that uses a three-by-three lenslet array with an optical system length of 2.3 mm and achieves Rayleigh criteria resolution comparable with a conventional single-lens system with an optical system length of 26 mm. The high-resolution final image generated by this system is reconstructed from the low-resolution images gathered by each lenslet. This is accomplished using superresolution reconstruction algorithms based on linear and nonlinear interpolation algorithms. Two implementations of the ultrathin camera are demonstrated and their performances are compared with that of a conventional infrared camera.

© 2008 Optical Society of America

OCIS Codes
(100.6640) Image processing : Superresolution
(110.1758) Imaging systems : Computational imaging

Original Manuscript: September 10, 2007
Manuscript Accepted: October 20, 2007
Published: January 8, 2008

Mohan Shankar, Rebecca Willett, Nikos Pitsianis, Timothy Schulz, Robert Gibbons, Robert Te Kolste, James Carriere, Caihua Chen, Dennis Prather, and David Brady, "Thin infrared imaging systems through multichannel sampling," Appl. Opt. 47, B1-B10 (2008)

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