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A Signal Adaptive Diffusion Filter For Video Coding

 
: Rasch, J.; Pfaff, J.; Schäfer, M.; Schwarz, H.; Winken, M.; Siekmann, M.; Marpe, D.; Wiegand, T.

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Institute of Electrical and Electronics Engineers -IEEE-:
Picture Coding Symposium, PCS 2018. Proceedings : 24-27 June 2018, San Francisco, California, USA
Piscataway, NJ: IEEE, 2018
ISBN: 978-1-5386-4160-6
ISBN: 978-1-5386-4159-0
ISBN: 978-1-5386-4161-3
S.131-133
Picture Coding Symposium (PCS) <33, 2018, San Francisco/Calif.>
Englisch
Konferenzbeitrag
Fraunhofer HHI ()

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.

: http://publica.fraunhofer.de/dokumente/N-520135.html