IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/815132.html
   My bibliography  Save this article

A New Fast Algorithm for Constrained Four-Directional Total Variation Image Denoising Problem

Author

Listed:
  • Fan Liao
  • Jean Louis Coatrieux
  • Jiasong Wu
  • Huazhong Shu

Abstract

A new four-directional total variation (4-TV) model, applicable to isotropic and anisotropic TV functions, is proposed for image denoising. A dual based fast gradient projection algorithm for the constrained 4-TV image denoising problem is also reported which combines the well-known gradient projection and the fast gradient projection methods. Experimental results show that this model provides in most cases a better signal to noise ratio when compared to previous models like the reference TV, the total generalized variation, and the nonlocal total variation.

Suggested Citation

  • Fan Liao & Jean Louis Coatrieux & Jiasong Wu & Huazhong Shu, 2015. "A New Fast Algorithm for Constrained Four-Directional Total Variation Image Denoising Problem," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-11, February.
  • Handle: RePEc:hin:jnlmpe:815132
    DOI: 10.1155/2015/815132
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2015/815132.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2015/815132.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2015/815132?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:hin:jnlmpe:815132. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    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.