A NEW REGION-BASED PDE FOR PERCEPTUAL IMAGE RESTORATION

Baptiste Magnier (1) , Philippe Montesinos (1) , Daniel Diep (1)

1 LGI2P - Laboratoire de Génie Informatique et Ingénierie de Production

In this paper, we present a new image regularization method using a rotating smoothing filter. The novelty of this approach resides in the mixing of ideas coming both from pixel classification which determines roughly if a pixel belongs to a homogenous region or an edge and an anisotropic perceptual edge detector which computes two precise diffusion directions. These directions are used by an anisotropic diffusion scheme. This anisotropic diffusion is accurately controlled near edges and corners, while isotropic diffusion is applied to smooth homogeneous and highly noisy regions. Our results and a comparison with anisotropic diffusion methods applied on a real image show that our model is able to efficiently regularize images and to control the diffusion.

Mots clés: Image restoration; rotating filters; edge detection; anisotropic diffusion.; anisotropic diffusion

Domaines: Traitement des images [eess.IV]

Baptiste Magnier, Philippe Montesinos, Daniel Diep. A NEW REGION-BASED PDE FOR PERCEPTUAL IMAGE RESTORATION. International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Feb 2012, Rome, Italy. http://www.visapp.visigrapp.org/VISAPP2012/. ⟨hal-00807974⟩