Anisotropic and nonlinear diffusion applied to image enhancement and edge detection
by M. Ait Oussous; N. Alaa; Y. Ait Khouya
International Journal of Computer Applications in Technology (IJCAT), Vol. 49, No. 2, 2014

Abstract: In this paper, we suggest a new processing algorithm based on anisotropic diffusion and nonlinear process for removing noise and image enhancement. The principle of the proposed algorithm is to apply a Gaussian filter to the image gradient when computing the diffusion coefficient and to choose the gradient threshold parameter depending on the gradient of the image at each iteration in the model adopted by Morfu (2009). We compare this algorithm with that of Morfu. A number of experimental results are described to illustrate its performance and indicate that it is very efficient in removing noise, image enhancement and edge preserving.

Online publication date: Mon, 02-Mar-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computer Applications in Technology (IJCAT):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email