Joint shape and centroid adaptive frequency selective extrapolation for the reconstruction of arbitrarily shaped loss areas

Abstract

Reconstructing missing areas of arbitrary shape and size is particularly important in error-prone communication as well as in applications where motion compensation is conducted such as multi-image super-resolution or framerate up-conversion. To that end, frequency selective extrapolation is an effective image reconstruction technique. This approach was… (More)
DOI: 10.1109/PCS.2016.7906367

7 Figures and Tables

Cite this paper

@article{Btz2016JointSA, title={Joint shape and centroid adaptive frequency selective extrapolation for the reconstruction of arbitrarily shaped loss areas}, author={Michel B{\"a}tz and Wolfgang Schnurrer and J{\'a}n Koloda and Andrea Eichenseer and Andr{\'e} Kaup}, journal={2016 Picture Coding Symposium (PCS)}, year={2016}, pages={1-5} }