IACV I: Image Processing


In our studies, we typically aim at physics-based continuous image formation models, which lead to variational inverse problems. We investigate novel approaches to formulate regularizers and data terms, in particular for our complex light field data structures, and study modern convex optimization frameworks to design efficient solvers. Recently, we have focused in particular on implementations on irregular and multi-resolution grids.