Clifford bundles: a unifying framework for images, vector fields and orthonormal frame fields regularization.

Thomas Batard (1)

1 MIA - Mathématiques, Image et Applications - EA 3165

The aim of this paper is to present a new framework for regularization by diffusion. The methods we develop in the sequel can be used to smooth multichannel images, multichannel image sequences (videos), vector fields and orthonormal frame fields in any dimension. From a mathematical viewpoint, we deal with vector bundles over Riemannian manifolds and so-called generalized Laplacians. Sections are regularized from heat equations associated to generalized Laplacians, the solutions being approximated by convolutions with kernels. Then, the behaviour of the diffusion is determined by the geometry of the vector bundle, i.e. by the metric of the base manifold and by a connection on the vector bundle. For instance, the heat equation associated to the Laplace-Beltrami operator can be considered from this point of view for applications to images and videos regularization. The main topic of this paper is to show that this approach can be extended in several ways to vector fields and orthonormal frame fields by considering the context of Clifford algebras. We introduce Clifford-Beltrami and Clifford-Hodge operators as generalized Laplacians on Clifford bundles over Riemannian manifolds. Laplace-Beltrami diffusion appears as a particular case of diffusion for degree 0 sections (functions). Dealing with base manifolds of dimension 2, applications to multichannel images, 2D vector fields and orientation fields regularization are presented.

Keywords: regularization; heat equations; Clifford algebras; vector bundles

Domains: Differential Geometry [math.DG]; Image Processing [eess.IV]

Thomas Batard. Clifford bundles: a unifying framework for images, vector fields and orthonormal frame fields regularization.. 2009. ⟨hal-00408532v2⟩