A Class of generalized Laplacians on vector bundles devoted to multi-channels image processing

In the context of fiber bundles theory, there exist some differential operators of order 2 , called generalized Laplacians, acting on sections of vector bundles over Riemannian manifolds, and generalizing the Laplace-Beltrami operator. Such operators are determined by the choice of a covariant derivative on the vector bundle. In this paper, we construct a class of generalized Laplacians, devoted to multi-channels image processing, from the construction of particular covariant derivatives. The construction requires to deal with the notion of associated bundle, that relates principal and vector bundles by the choice of a group representation. In particular, covariant derivatives are determined by connection 1-forms on principal bundles. We consider a minimization problem to construct particular connection 1-forms. Then, from the heat equation of the corresponding Laplacian, we obtain a class of diffusions whose behaviours depend of the choice of the group representation. We provide experiments on grey-level and color images.

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Source https://hal.science/hal-00683953
Author Batard, Thomas, Sochen, Nir
Maintainer CCSD
Last Updated May 14, 2026, 16:06 (UTC)
Created May 14, 2026, 16:06 (UTC)
Identifier hal-00683953
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor School of Mathematical Sciences [Tel Aviv] (TAU) ; Raymond and Beverly Sackler Faculty of Exact Sciences [Tel Aviv] (TAU) ; Tel Aviv University (TAU)-Tel Aviv University (TAU)
creator Batard, Thomas
date 2012-02-04T00:00:00
harvest_object_id 34c3660d-b2f6-4035-be4a-7ec2fa664ceb
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2024-04-08T00:00:00
set_spec type:UNDEFINED