IDEAS home Printed from https://ideas.repec.org/a/taf/tewaxx/v33y2019i17p2328-2340.html
   My bibliography  Save this article

Super-resolution algorithm applied to images acquired at millimeter wave frequency in single pixel and computational ghost imaging configurations

Author

Listed:
  • Esra Şengün Ermeydan
  • İlyas Çankaya
  • Asaf Behzat Şahin

Abstract

The lack of low cost, high-resolution two-dimensional imaging detectors and the expensiveness of the measurements make millimeter wave imaging challenging. Single detector configurations are promising to solve data acquisition problem in millimeter wave imaging. In this study, millimeter wave imaging in transmission mode is done with single pixel imaging and computational ghost imaging configurations. In order to reduce the number of measurements in each configuration, Compressed Sensing architecture is used. To increase the image resolution, software-based super-resolution is applied. To the best of our knowledge, this is first study comparing the computational ghost imaging with single pixel imaging, besides software-based super-resolution method is applied to the real world millimeter wave images. It is seen that super-resolution increases the quality in both configurations while computational ghost imaging has better quality compared to single pixel imaging in millimeter waves.

Suggested Citation

  • Esra Şengün Ermeydan & İlyas Çankaya & Asaf Behzat Şahin, 2019. "Super-resolution algorithm applied to images acquired at millimeter wave frequency in single pixel and computational ghost imaging configurations," Journal of Electromagnetic Waves and Applications, Taylor & Francis Journals, vol. 33(17), pages 2328-2340, November.
    • Handle: RePEc:taf:tewaxx:v:33:y:2019:i:17:p:2328-2340
    DOI: 10.1080/09205071.2019.1678525
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09205071.2019.1678525
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/09205071.2019.1678525?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tewaxx:v:33:y:2019:i:17:p:2328-2340. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tewa .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.