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Interleaving and Sparse Random Coded Aperture for Lens-Free Visible Imaging

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Intelligent Data analysis and its Applications, Volume II

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 298))

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Abstract

Coded aperture has been applied to short wavelength imaging (e.g., gamma-ray), and it suffers from diffraction and interference for taking longer wavelength images. This paper investigates an interleaving and sparse random (ISR) coded aperture to reduce the impact of diffraction and interference for visible imaging. The interleaving technique treats coded aperture as a combination of many small replicas to reduce the diffraction effects and to increase the angular resolution. The sparse random coded aperture reduces the interference effects by increasing the separations between adjacent open elements. These techniques facilitate the analysis of the imaging model based only on geometric optics. Compressed sensing is applied to recover the coded image by coded aperture, and a physical prototype is developed to examine the proposed techniques.

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Authors and Affiliations

  1. School of Information Technology and Mathematical Sciences, University of South Australia, Mawson Lakes, SA, 5095, Australia

    Zhenglin Wang & Ivan Lee

Authors
  1. Zhenglin Wang
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  2. Ivan Lee
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Editor information

Editors and Affiliations

  1. University of Applied Sciences, Kaohsiung, Taiwan

    Jeng-Shyang Pan

  2. Department of Computer Science Faculty of Elec. Eng. & Comp. Sci., VSB-Technical University of Ostrava, Ostrava, Czech Republic

    Vaclav Snasel

  3. Departamento de Informáca y Automática Facultad de Biología, University of Salamanca, Salamanca, Spain

    Emilio S. Corchado

  4. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA

    Ajith Abraham

  5. Department of Information Management, National University of Kaohsiung, Kaohsiung, Taiwan

    Shyue-Liang Wang

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© 2014 Springer International Publishing Switzerland

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Wang, Z., Lee, I. (2014). Interleaving and Sparse Random Coded Aperture for Lens-Free Visible Imaging. In: Pan, JS., Snasel, V., Corchado, E., Abraham, A., Wang, SL. (eds) Intelligent Data analysis and its Applications, Volume II. Advances in Intelligent Systems and Computing, vol 298. Springer, Cham. https://doi.org/10.1007/978-3-319-07773-4_25

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  • DOI: https://doi.org/10.1007/978-3-319-07773-4_25

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07772-7

  • Online ISBN: 978-3-319-07773-4

  • eBook Packages: EngineeringEngineering (R0)

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