Image Processing Reference
In-Depth Information
only provides an elegant solution, but also enables us to handle the perturbations in
the corresponding model in a very efficient manner.
The presented technique provides a computationally simple and iterative solution.
The main focus lies in providing a statistical framework for hyperspectral image
fusion. A variety of different quality factors, and smoothness norms can be employed
within this framework without changing the solution modality.
