DocumentCode :
2193225
Title :
Chapter 16: Image Restoration by Non-standard Diffusion
Author :
Maouni, M. ; Nouri, F.Z. ; Meskine, D.
Author_Institution :
Lab. de Math. Appl., Univ. Badji Mokhtar, Annaba
fYear :
2008
fDate :
9-11 July 2008
Firstpage :
98
Lastpage :
101
Abstract :
Many authors used different techniques for image restoration. Variational approaches are mainly used for this purpose. For example, the Mumfort-Shah is a model type for the free discontinuity in the restoration and segmentation of images. The main characteristic of this model is the isotropic diffusion, minimizing the length of the boundaries, while the classical models due to Rudin-Osher-Fatmi, minimize the total variation of the longest curves in the images. In this work we propose a new partial differential equation of order four that can be used for image restoration. This proposed model is a combination of the fast growth with respect to low curvature and the slow growth when the gradient is large. Numerical results are presented for both second and fourth order partial differential equations.
Keywords :
image restoration; image segmentation; partial differential equations; variational techniques; free discontinuity; image restoration; image segmentation; isotropic diffusion; nonstandard diffusion; partial differential equation; variational approaches; Differential equations; Image denoising; Image edge detection; Image processing; Image restoration; Image segmentation; Inverse problems; Nonlinear equations; Partial differential equations; Solid modeling; Ill-posed problem; edge detection; image de-noising; inverse problems; nonlinear partial differential equations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geometric Modeling and Imaging, 2008. GMAI 2008. 3rd International Conference on
Conference_Location :
London
Print_ISBN :
978-0-7695-3270-7
Type :
conf
DOI :
10.1109/GMAI.2008.6
Filename :
4568613
Link To Document :
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