| Session: | Poster Session |
| Location: | Poster Area |
| Session Time: | Tuesday, June 26, 15:40 - 17:00 |
| Presentation Time: | Tuesday, June 26, 15:40 - 16:40 |
| Presentation: |
Poster
|
| Paper Title: |
A Signal Adaptive Diffusion Filter For Video Coding |
| Authors: |
Jennifer Rasch; Fraunhofer Heinrich Hertz Institute, Germany | | |
| | Jonathan Pfaff; Fraunhofer Heinrich Hertz Institute, Germany | | |
| | Michael Schäfer; Fraunhofer Heinrich Hertz Institute, Germany | | |
| | Heiko Schwarz; Fraunhofer Heinrich Hertz Institute, Germany | | |
| | Martin Winken; Fraunhofer Heinrich Hertz Institute, Germany | | |
| | Mischa Siekmann; Fraunhofer Heinrich Hertz Institute, Germany | | |
| | Detlev Marpe; Fraunhofer Heinrich Hertz Institute, Germany | | |
| | Thomas Wiegand; Fraunhofer Heinrich Hertz Institute, Germany | | |
| Abstract: |
In this paper we combine state of the art video compression and Partial Differential Equation (PDE) based image processing methods. We introduce a new signal adaptive method to filter the predictions of a hybrid video codec using a system of PDEs describing a diffusion process. The method can be applied to intra as well as inter predictions. The filter is embedded into the framework of HEVC. The efficiency of the HEVC video codec is improved by up to −2.76% for All Intra and −3.56% for Random Access measured in Bjøntegaard delta (BD) rate. Coding gains of up to −8.76% can be observed for individual test sequences. |