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

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