CNCS Center for Nonlinear and Complex Systems
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Publications [#280404] of David J. Brady

Papers Published

  1. Shankar, M; Willett, R; Pitsianis, N; Schulz, T; Gibbons, R; Te Kolste, R; Carriere, J; Chen, C; Prather, D; Brady, D, Thin infrared imaging systems through multichannel sampling., Applied Optics, vol. 47 no. 10 (April, 2008), pp. B1-10, ISSN 0003-6935 [18382544], [doi]
    (last updated on 2019/11/22)

    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.