Abstract:
New variational model for non-linear image fusion. Our method uses an osmosis energy term similar to Vogel et al. and Weickert.
Minimizing the proposed non-convex energy achieves visually plausible image data fusion invariant to multiplicative brightness changes.
It encodes image structure prior to fusion and requires minimal supervision and parameter tuning. We use a primal-dual algorithm to solve multi-modal face fusion, color transfer, and cultural heritage conservation problems. Our method outperforms and is flexible.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
Did you like this final year project?
To download this project Code with thesis report and project training... Click Here
