Skip to Main content Skip to Navigation

Géométrie multi-échelles pour les images et les textures

Abstract : The geometry of images is multiscale, because edges of natural images are often blurry and textures contain a broad range of geometric structures.
This geometry can be constructed directly over a multiscale domain and corresponds to a grouping process of wavelet coefficients. The resulting adaptive representations are discrete, orthogonal and allow a multiscale description of the geometric content of an image.
This leads to the construction of orthogonal bandelet bases, for which the grouping process is locally defined using a best orientation. These orthogonal bases improve over state of the art schemes for images and surfaces compression and for the inversion of the tomography operator.
In order to understand and model the complex geometry of turbulent textures, we design an association field that is able to capture long range interactions. This allows a statistical modelling of the geometry of natural textures. We apply this construction to geometric texture synthesis.
Document type :
Complete list of metadata

Cited literature [200 references]  Display  Hide  Download
Contributor : Gabriel Peyré Connect in order to contact the contributor
Submitted on : Monday, March 2, 2009 - 8:42:33 AM
Last modification on : Tuesday, January 18, 2022 - 3:23:49 PM
Long-term archiving on: : Tuesday, June 8, 2010 - 9:13:30 PM


  • HAL Id : tel-00365025, version 1



Gabriel Peyré. Géométrie multi-échelles pour les images et les textures. Mathématiques [math]. Ecole Polytechnique X, 2005. Français. ⟨tel-00365025⟩



Record views


Files downloads