IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v11y2015i11p632568.html
   My bibliography  Save this article

An Efficient Image Denoising Method for Wireless Multimedia Sensor Networks Based on DT-CWT

Author

Listed:
  • Rachid Sammouda
  • Abdul Malik S. Al-Salman
  • Abdu Gumaei
  • Nejmeddine Tagoug

Abstract

Wireless multimedia sensor network (WMSN) is a developed technology of wireless sensor networks and includes a set of nodes equipped with cameras and other sensors to detect ambient environment and produce multimedia data content. In this context, many types of noises occur due to sensors problems, change of illumination, fog, rain, and other weather conditions. These noises usually degrade the digital images acquired by camera sensors. Image denoising in spatial domain is more difficult and time-consuming for real-time processing of WMSNs applications. In this study, an efficient method based on Dual-Tree Complex Wavelet Transform (DT-CWT) is developed to enhance the image denosing in WMSNs. This method is designed to reduce the image noises by selecting an optimal threshold value estimated from the approximation of wavelet coefficients. In our experiment, the proposed method was tested and compared with standard Discrete Wavelet Transform (DWT) and Stationary Wavelet Transform (SWT) on a set of natural scene images. Better results were achieved by using the DT-CWT in terms of image quality metrics and processing time.

Suggested Citation

  • Rachid Sammouda & Abdul Malik S. Al-Salman & Abdu Gumaei & Nejmeddine Tagoug, 2015. "An Efficient Image Denoising Method for Wireless Multimedia Sensor Networks Based on DT-CWT," International Journal of Distributed Sensor Networks, , vol. 11(11), pages 632568-6325, November.
    • Handle: RePEc:sae:intdis:v:11:y:2015:i:11:p:632568
    DOI: 10.1155/2015/632568
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1155/2015/632568
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2015/632568?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
    ---><---

    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:sae:intdis:v:11:y:2015:i:11:p:632568. 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: SAGE Publications (email available below). General contact details of provider: .

    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.