Non-stationary texture synthesis from random field modeling

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.
Type de document :
Communication dans un congrès
IEEE International Conference on Image Processing (ICIP) 2014, Oct 2014, Paris, France. pp.1-5, 2014
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https://hal-ujm.archives-ouvertes.fr/ujm-01005343
Contributeur : Olivier Alata <>
Soumis le : jeudi 12 juin 2014 - 13:37:38
Dernière modification le : mercredi 25 juillet 2018 - 14:05:31

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  • HAL Id : ujm-01005343, version 1

Citation

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, 2014. 〈ujm-01005343〉

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