A signal adaptive diffusion filter for video coding: Mathematical framework and complexity reductions
作者：
Highlights：
• Novel iterative prediction filter methods are constructed for video compression.
• Two types of diffusion filters are introduced: a uniform and a signal adaptive one.
• The presented method achieves average bitrate savings of 2.27% for Random Access.
• The coding complexity is reduced by up to 70% while maintaining over 80% of the gain.
• For individual test sequences, results of 7.36% for Random Access are accomplished.
摘要
•Novel iterative prediction filter methods are constructed for video compression.•Two types of diffusion filters are introduced: a uniform and a signal adaptive one.•The presented method achieves average bitrate savings of 2.27% for Random Access.•The coding complexity is reduced by up to 70% while maintaining over 80% of the gain.•For individual test sequences, results of 7.36% for Random Access are accomplished.
论文关键词：High efficiency video coding (HEVC),Intra prediction,Inter prediction,PDEs,Adaptive filtering,Edge detection,Linear diffusion,Linear filtering,Video compression
论文评审过程：Received 6 November 2019, Revised 23 January 2020, Accepted 16 April 2020, Available online 20 April 2020, Version of Record 30 April 2020.
论文官网地址：https://doi.org/10.1016/j.image.2020.115861
