Variational Osmosis for Non-linear Image Fusion
Language
en
Article de revue
This item was published in
IEEE Transactions on Image Processing. 2020, vol. 29, p. 5507-5516
Institute of Electrical and Electronics Engineers
English Abstract
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 ...Read more >
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.Read less <
English Keywords
Image fusion
Osmosis filtering
Cultural heritage imaging
Primal-dual algorithm
Non-convex optimisation
European Project
Nonlocal Methods for Arbitrary Data Sources
ANR Project
Generalized Optimal Transport Models for Image processing - ANR-16-CE33-0010
Repenser la post-production d'archives avec des méthodes à patch, variationnelles et par apprentissage - ANR-19-CE23-0027
Repenser la post-production d'archives avec des méthodes à patch, variationnelles et par apprentissage - ANR-19-CE23-0027
Origin
Hal imported