Variational Osmosis for Non-linear Image Fusion - Archive ouverte HAL Access content directly
Journal Articles IEEE Transactions on Image Processing Year : 2020

Variational Osmosis for Non-linear Image Fusion


We propose a new variational model for nonlinear image fusion. Our approach incorporates the osmosis model proposed in Vogel et al. (2013) and Weickert et al. (2013) as an energy term in a variational model. The osmosis energy is known to realize visually plausible image data fusion. As a consequence, our method is invariant to multiplicative brightness changes. On the practical side, it requires minimal supervision and parameter tuning and can encode prior information on the structure of the images to be fused. We develop a primal-dual algorithm for solving this new image fusion model and we apply the resulting minimisation scheme to multi-modal image fusion for face fusion, colour transfer and some cultural heritage conservation challenges. Visual comparison to state-of-the-art proves the quality and flexibility of our method.
Vignette du fichier
osmosis.png (828.61 Ko) Télécharger le fichier
Format Figure, Image
Origin Files produced by the author(s)

Dates and versions

hal-02314972 , version 1 (21-10-2019)



Simone Parisotto, Luca Calatroni, Aurélie Bugeau, Nicolas Papadakis, Carola-Bibiane Schönlieb. Variational Osmosis for Non-linear Image Fusion. IEEE Transactions on Image Processing, 2020, 29, pp.5507-5516. ⟨hal-02314972⟩
197 View
0 Download



Gmail Mastodon Facebook X LinkedIn More