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Prototype of Super-Resolution Camera Array System

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Advances in Visual Computing (ISVC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9474))

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Abstract

We present a prototype of a super-resolution camera array system. Since the proposed system consists of a number of low-cost camera devices, all of which operate synchronously, it is a low-cost, high quality imaging system, and capable of handling moving targets. However, when the targets are located near the system, parallax and differences in photographic conditions among the cameras become pronounced. In addition, conventional super-resolution techniques frequently emphasize noise, as well as edges, contours, and so on, when the number of the observed (i.e., low resolution) images is limited. Therefore, we also propose the following procedures for our camera-array system: (1) color calibration among cameras, (2) automated region of the interest (ROI) detection under large parallax, and (3) effective noise reduction with effective edge preservation. We developed a camera array system comprising 12 low-cost Web camera devices. We confirm that the proposed system in general reduces the drawbacks of the array system and achieves approximately a 2 dB higher S/N ratio, i.e., equivalent to the effect of two additional images.

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Authors and Affiliations

  1. Applied Informatics, Graduate School of Science and Engineering, Hosei University, Tokyo, Japan

    Daiki Hirao & Hitoshi Iyatomi

Authors
  1. Daiki Hirao
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  2. Hitoshi Iyatomi
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Corresponding author

Correspondence to Hitoshi Iyatomi .

Editor information

Editors and Affiliations

  1. University of Nevada, Reno, Nevada, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, California, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, California, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, Nevada, USA

    Darko Koracin

  5. University of Houston, Houston, Texas, USA

    Ioannis Pavlidis

  6. IBM T.J. Watson Research Center, Yorktown Heights, New York, USA

    Rogerio Feris

  7. Purdue University, West Lafayette, Indiana, USA

    Tim McGraw

  8. Side Effects Software, Santa Monica, California, USA

    Mark Elendt

  9. The DiVE, Durham, North Carolina, USA

    Regis Kopper

  10. Texas A&M University, College Station, Texas, USA

    Eric Ragan

  11. Kent State University, Kent, Ohio, USA

    Zhao Ye

  12. Lawrence Berkeley National Laboratory, Berkeley, California, USA

    Gunther Weber

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© 2015 Springer International Publishing Switzerland

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Hirao, D., Iyatomi, H. (2015). Prototype of Super-Resolution Camera Array System. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2015. Lecture Notes in Computer Science(), vol 9474. Springer, Cham. https://doi.org/10.1007/978-3-319-27857-5_81

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  • DOI: https://doi.org/10.1007/978-3-319-27857-5_81

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27856-8

  • Online ISBN: 978-3-319-27857-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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