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Non-stationary texture synthesis from random field modeling

Abdourrahmane Atto 1 Zhangyun Tan 1 Olivier Alata 2 Maxime Moreaud 3
1 LISTIC - Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance
2 LHC - Laboratoire Hubert Curien [Saint Etienne]
3 IFPEN - IFP Energies nouvelles
Abstract : The paper presents a generalized non-stationary and fractional model for texture synthesis. The model is based on convolutions and modulation operations of fractional Brownian fields and its associated spectral representation contains many poles with unit norm. Synthesized textures generated from this model can exhibit several non-trivial fringes which can be visualized in natural textures such those involved in high resolution transmission electron microscopy.
Keywords : Texture synthesis Random fields Fractional Brownian fields Non-stationary textures Transmission Electron microscopy
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https://hal-ujm.archives-ouvertes.fr/ujm-01005343
Contributor : Olivier Alata <>
Submitted on : Thursday, June 12, 2014 - 1:37:38 PM
Last modification on : Monday, January 13, 2020 - 5:46:04 PM

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  • HAL Id : ujm-01005343, version 1

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UNIV-ST-ETIENNE | CNRS | UNIV-SAVOIE | IFP | LAHC | UGA | IOGS | PARISTECH | UDL | LISTIC

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Abdourrahmane Atto, Zhangyun Tan, Olivier Alata, Maxime Moreaud. Non-stationary texture synthesis from random field modeling. IEEE International Conference on Image Processing (ICIP) 2014, Oct 2014, Paris, France. pp.1-5. ⟨ujm-01005343⟩

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