A full second order model for multiscale texture analysis

Autor: Bergounioux, Maïtine, Piffet, Loïc

Publikováno v: Computational Optimization and Applications
Computational Optimization and Applications, Springer Verlag, 2012, 54, pp.215-237. ⟨10.1007/s10589-012-9484-9⟩

International audience; We presented a second order image decomposition model to perform denoising and texture extraction. We look for the decomposition f= u+v + w where u is a first order term, v a second order term and w the remainder term (0 order

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e93b17ba26951e9af5c4c15889987f98
https://hal.archives-ouvertes.fr/hal-00600430v2/file/BergPiffetCOAPrev.pdf

Variational models for image decomposition : denoising and texture extraction

Autor: Piffet, Loïc

This thesis is devoted in a first part to the elaboration of a second order variational modelfor image denoising, using the BV 2 space of bounded hessian functions. We here take a leaf out of the well known Rudin, Osher and Fatemi (ROF) model, where

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______166::284136460b32eed5a9289d01f0e2d8a6
https://theses.hal.science/tel-00598289v2

A variational model for image texture identification

Autor: Romain Echegut, Loïc Piffet

Publikováno v: Recent Advances in Optimization and its Applications in Engineering ISBN: 9783642125973

We investigate a model for textured images using a functional minimization problem. We decompose a textured image ud as a sum of two functions u+v, where u is a bounded variation function and v is a “ bounded hessian” function. We also present nu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdab013cec63240e7018d8c038fc808c
https://hal.archives-ouvertes.fr/hal-00439431/file/Piffet.pdf