test_moissonnage_selune
type: Agent

Spin Geometry and Image Processing
type: Dataset
contact point: Organization
  fn: CCSD
keyword: clifford-fourier-trasnform
keyword: msc--68u10-53c27-53a05-43a32
keyword: image-processing
keyword: infoinfo-tscomputer-science-cssignal-and-image-processing
keyword: infoeu-reposemanticspreprint
keyword: spisignalengineering-sciences-physicssignal-and-image-processing
keyword: spin-geometry
keyword: mathmath-dgmathematics-mathdifferential-geometry-mathdg
keyword: infoinfo-ticomputer-science-csimage-processing-eessiv
keyword: preprints-working-papers-
landing page: https://hal.science/hal-00801224
description: We give a survey of applications of spin geometry to image processing. We mainly focus on the problem of defining geometric Fourier transforms for both grey-level and color images. The definitions we propose rely on a spin generalization of the usual notion of character. We consider three possibilities for the actions of these spin characters: by using the spinor representation of grey-level image surfaces; by considering grey-level and color images as sections of associated bundles built first with standard representations and then with spin representations. Examples of applications to low-pass filtering are presented.
issued: 2026-05-12T15:01:55.757762
language: en
modified: 2026-05-12T15:01:55.757768

Spin Geometry and Image Processing
type: Distribution
access URL: https://hal.science/hal-00801224
format: HTML
issued: 2026-05-12T15:01:55.880531
modified: 2026-05-12T15:01:55.710133