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Article Dans Une Revue IEEE Transactions on Visualization and Computer Graphics Année : 2017

Transformation of the Multivariate Generalized Gaussian Distribution for Image Editing

Hristina Hristova
  • Fonction : Auteur correspondant
Rémi Cozot
Kadi Bouatouch

Résumé

Multivariate generalized Gaussian distributions (MGGDs) have aroused a great interest in the image processing community thanks to their ability to describe accurately various image features, such as image gradient fields. However, so far their applicability has been limited by the lack of a transformation between two of these parametric distributions. In this paper, we propose a novel transformation between MGGDs, consisting of an optimal transportation of the second-order statistics and a stochastic-based shape parameter transformation. We employ the proposed transformation between MGGDs for a color transfer and a gradient transfer between images. We also propose a new simultaneous transfer of color and gradient, which we apply for image color correction.
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Dates et versions

hal-01650368 , version 1 (28-11-2017)

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Citer

Hristina Hristova, Olivier Le Meur, Rémi Cozot, Kadi Bouatouch. Transformation of the Multivariate Generalized Gaussian Distribution for Image Editing. IEEE Transactions on Visualization and Computer Graphics, 2017, pp.15. ⟨10.1109/TVCG.2017.2769050⟩. ⟨hal-01650368⟩
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