IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/3151303.html
   My bibliography  Save this article

Variable Splitting Based Method for Image Restoration with Impulse Plus Gaussian Noise

Author

Listed:
  • Tingting Wu

Abstract

Image denoising is a fundamental problem in realm of image processing. A large amount of literature is dedicated to restoring an image corrupted by a certain type of noise. However, little literature is concentrated on the scenario of mixed noise removal. In this paper, based on the model of two-phase method for image denoising proposed by Cai et al. (2008) and the idea of variable splitting, we are capable of decomposing the image denoising problem into subproblems with closed form. Numerical results illustrate the validity and robustness of the proposed algorithms, especially for restoring the images contaminated by impulse plus Gaussian noise.

Suggested Citation

  • Tingting Wu, 2016. "Variable Splitting Based Method for Image Restoration with Impulse Plus Gaussian Noise," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-16, November.
    • Handle: RePEc:hin:jnlmpe:3151303
    DOI: 10.1155/2016/3151303
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2016/3151303.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2016/3151303.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2016/3151303?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Xiao & Meng, Xiaoying & Xiong, Bo, 2022. "A fractional variational image denoising model with two-component regularization terms," Applied Mathematics and Computation, Elsevier, vol. 427(C).

    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:3151303. 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.