Adaptive Post Filter for Reducing Block Artifacts in High Efficiency Video Coding

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2016 International Conference on Multimedia Systems and Signal Processing, ICMSSP 2016
EditorsChin-Chen Chang, Jeng-Shyang Pan, Young-Chang Hou
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages22-25
Number of pages4
ISBN (Electronic)9781509045198
DOIs
Publication statusPublished - 2016 Jul 2
Event2016 International Conference on Multimedia Systems and Signal Processing, ICMSSP 2016 - New Taipei, Taiwan, Province of China
Duration: 2016 Sep 32016 Sep 5

Publication series

NameProceedings - 2016 International Conference on Multimedia Systems and Signal Processing, ICMSSP 2016

Other

Other2016 International Conference on Multimedia Systems and Signal Processing, ICMSSP 2016
CountryTaiwan, Province of China
CityNew Taipei
Period16/9/316/9/5

Keywords

  • block-based coding
  • deblocking
  • neural networks
  • video coding
  • video filtering

ASJC Scopus subject areas

  • Media Technology
  • Signal Processing

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