The Heeger & Bergen Pyramid Based Texture Synthesis Algorithm

Thibaud Briand (1) , Jonathan Vacher (2) , Bruno Galerne (3) , Julien Rabin (4)

1 ENS Cachan - École normale supérieure - Cachan
2 CEREMADE - CEntre de REcherches en MAthématiques de la DEcision
3 MAP5 - UMR 8145 - Mathématiques Appliquées Paris 5
4 Equipe Image - Laboratoire GREYC - UMR6072

This contribution deals with the Heeger-Bergen pyramid-based texture analysis/synthesis algorithm. It brings a detailed explanation of the original algorithm tested on many characteristic examples. Our analysis reproduces the original results, but also brings a minor improvement concerning non-periodic textures. Inspired by visual perception theories, Heeger and Bergen proposed to characterize a texture by its first-order statistics of both its color and its responses to multiscale and multi-orientation filters, namely the steerable pyramid. The Heeger-Bergen algorithm consists in the following procedure: starting from a white noise image, histogram matchings are performed to the noise alternatively in both the image domain and steerable pyramid domain, so that the corresponding histograms match the ones of the input texture.

Mots clés: texture; synthesis; Heeger-Bergen

Domaines: Synthèse d'image et réalité virtuelle [cs.GR]

Thibaud Briand, Jonathan Vacher, Bruno Galerne, Julien Rabin. The Heeger & Bergen Pyramid Based Texture Synthesis Algorithm. Image Processing On Line, 2014, 4, pp.276 - 299. ⟨10.5201/ipol.2014.79⟩. ⟨hal-01435323⟩