APSIPA Transactions on Signal and Information Processing > Vol 8 > Issue 1

A signal adaptive diffusion filter for video coding: improved parameter selection

Jennifer Rasch, Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Germany, Jennifer.Rasch@hhi.fraunhofer.de , Jonathan Pfaff, Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Germany, Michael Schäfer, Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Germany, Anastasia Henkel, Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Germany, Heiko Schwarz, Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Germany, Detlev Marpe, Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Germany, Thomas Wiegand, Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Germany
 
Suggested Citation
Jennifer Rasch, Jonathan Pfaff, Michael Schäfer, Anastasia Henkel, Heiko Schwarz, Detlev Marpe and Thomas Wiegand (2019), "A signal adaptive diffusion filter for video coding: improved parameter selection", APSIPA Transactions on Signal and Information Processing: Vol. 8: No. 1, e29. http://dx.doi.org/10.1017/ATSIP.2019.22

Publication Date: 22 Nov 2019
© 2019 Jennifer Rasch, Jonathan Pfaff, Michael Schäfer, Anastasia Henkel, Heiko Schwarz, Detlev Marpe and Thomas Wiegand
 
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In this article:
I. INTRODUCTION 
II. STATE-OF-THE-ART VIDEO CODING 
III. MATHEMATICAL FRAMEWORK OF THE DIFFUSION FILTER 
IV. IMPLEMENTATION AND EXPERIMENTAL SETUP 
V. PARAMETER TESTS 
VIII. CONCLUSION 

Abstract

In this paper we combine video compression and modern image processing methods. We construct novel iterative filter methods for prediction signals based on Partial Differential Equation (PDE)-based methods. The central idea of the signal adaptive filters is explained and demonstrated geometrically. The meaning of particular parameters is discussed in detail. Furthermore, thorough parameter tests are introduced which improve the overall bitrate savings. It is shown that these filters enhance the rate-distortion performance of the state-of-the-art hybrid video codecs. In particular, based on mathematical denoising techniques, two types of diffusion filters are constructed: a uniform diffusion filter using a fixed filter mask and a signal adaptive diffusion filter that incorporates the structures of the underlying prediction signal. The latter has the advantage of not attenuating existing edges while the uniform filter is less complex. The filters are embedded into a software based on HEVC with additional QTBT (Quadtree plus Binary Tree) and MTT (Multi-Type-Tree) block structure. Overall, the diffusion filter method achieves average bitrate savings of 2.27% for Random Access having an average encoder runtime increase of 19% and 17% decoder runtime increase. For UHD (Ultra High Definition) test sequences, bitrate savings of up to 7.36% for Random Access are accomplished.

DOI:10.1017/ATSIP.2019.22