@inproceedings{765c4e29672a4d4780bd978365c2cffb,
title = "Adaptive Post Filter for Reducing Block Artifacts in High Efficiency Video Coding",
abstract = "This paper describes an adaptive deblocking postfilter based on neural networks for use in H.265 High Efficiency Video Coding (HEVC). Blocking noise is a common problem in video coding caused by the division of the frame into blocks. The filter is adaptive because it uses different filter parameters depending on block characteristics. We use a modified HEVC decoder to export the block information to the filter. Blocks are put in different categories according to transform and prediction parameters. We train the filter in each case to optimize the internal parameters. We find that a 2-layer convolutional neural network is able to outperform the in-loop deblocking filter for a moderate processing cost. We propose to apply the filter after the HEVC in-loop deblocking filter. We demonstrate that our filter helps further reduce visual artifacts in video.",
keywords = "block-based coding, deblocking, neural networks, video coding, video filtering",
author = "Antoine Chauvet and Tomo Miyazaki and Yoshihiro Sugaya and Shinichiro Omachi",
note = "Funding Information: This work was partially supported by JSPS KAKENHI Grand Numbers 26540077 and 16H02841. Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 International Conference on Multimedia Systems and Signal Processing, ICMSSP 2016 ; Conference date: 03-09-2016 Through 05-09-2016",
year = "2016",
month = jul,
day = "2",
doi = "10.1109/ICMSSP.2016.014",
language = "English",
series = "Proceedings - 2016 International Conference on Multimedia Systems and Signal Processing, ICMSSP 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "22--25",
editor = "Chin-Chen Chang and Jeng-Shyang Pan and Young-Chang Hou",
booktitle = "Proceedings - 2016 International Conference on Multimedia Systems and Signal Processing, ICMSSP 2016",
address = "United States",
}