4DGVF-based filtering of vector-valued images

Vincent Jaouen (1) , Paulo Gonzalez (1) , Denis Guilloteau (1) , Irène Buvat (2) , Clovis Tauber (1)

1 iBraiN - Imaging, Brain & Neuropsychiatry
2 SHFJ - Service Hospitalier Frédéric Joliot

In this paper, we propose a new method for vector-valued image restoration in order to reduce noise while simultaneously sharpening vector edges. Our approach is a coupled anisotropic diffusion and shock filtering scheme that exploits a new robust 4DGVF vector field tailored for vector-valued images. The proposed scheme sharpens edges in directions diffused from the entire spatio-spectral information available with a more precise and a more stable sharpening effect along the iterative processing. We validate our method on color images as well as on realistic simulations of dynamic PET images.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Vincent Jaouen, Paulo Gonzalez, Denis Guilloteau, Irène Buvat, Clovis Tauber. 4DGVF-based filtering of vector-valued images. IEEE International Conference in Image Processing, Oct 2014, Paris, France. pp.1. ⟨hal-01064948⟩