research-article

HEVC Deblocking Filter

Authors:

Geert Van der AuweraAuthors Info & Claims

IEEE Transactions on Circuits and Systems for Video Technology, Volume 22, Issue 12

Pages 1746 - 1754

https://doi.org/10.1109/TCSVT.2012.2223053

Published: 01 December 2012 Publication History

Abstract

This paper describes the in-loop deblocking filter used in the upcoming High Efficiency Video Coding (HEVC) standard to reduce visible artifacts at block boundaries. The deblocking filter performs detection of the artifacts at the coded block boundaries and attenuates them by applying a selected filter. Compared to the H.264/AVC deblocking filter, the HEVC deblocking filter has lower computational complexity and better parallel processing capabilities while still achieving significant reduction of the visual artifacts.

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Zhang YDing DMa ZLi Z(2024)A Reconfigurable Framework for Neural Network Based Video In-Loop FilteringACM Transactions on Multimedia Computing, Communications, and Applications10.1145/364046720:6(1-20)Online publication date: 8-Mar-2024
https://dl.acm.org/doi/10.1145/3640467
Peng LCao YSun YWang Y(2024)Lightweight Adaptive Feature De-Drifting for Compressed Image ClassificationIEEE Transactions on Multimedia10.1109/TMM.2024.335091726(6424-6436)Online publication date: 15-Jan-2024
https://dl.acm.org/doi/10.1109/TMM.2024.3350917
Yang MHuo JZhou XQiao WWan SWang HYang F(2024)Joint Rate-Distortion Optimization for Video Coding and Learning-Based In-Loop FilteringIEEE Transactions on Multimedia10.1109/TMM.2023.330489526(2851-2865)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TMM.2023.3304895
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cover image IEEE Transactions on Circuits and Systems for Video Technology

IEEE Transactions on Circuits and Systems for Video Technology Volume 22, Issue 12

December 2012

264 pages

ISSN:1051-8215

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IEEE Press

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Published: 01 December 2012

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Zhang YDing DMa ZLi Z(2024)A Reconfigurable Framework for Neural Network Based Video In-Loop FilteringACM Transactions on Multimedia Computing, Communications, and Applications10.1145/364046720:6(1-20)Online publication date: 8-Mar-2024
https://dl.acm.org/doi/10.1145/3640467
Peng LCao YSun YWang Y(2024)Lightweight Adaptive Feature De-Drifting for Compressed Image ClassificationIEEE Transactions on Multimedia10.1109/TMM.2024.335091726(6424-6436)Online publication date: 15-Jan-2024
https://dl.acm.org/doi/10.1109/TMM.2024.3350917
Yang MHuo JZhou XQiao WWan SWang HYang F(2024)Joint Rate-Distortion Optimization for Video Coding and Learning-Based In-Loop FilteringIEEE Transactions on Multimedia10.1109/TMM.2023.330489526(2851-2865)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TMM.2023.3304895
Liu YJung C(2024)DWT-SALF: Subband Adaptive Neural Network Based In-Loop Filter for VVC Using Cyclic DWTPattern Recognition10.1007/978-3-031-78395-1_14(202-217)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1007/978-3-031-78395-1_14
Zhang YDing GDing DMa ZLi Z(2023)On Content-Aware Post-Processing: Adapting Statistically Learned Models to Dynamic ContentACM Transactions on Multimedia Computing, Communications, and Applications10.1145/361292520:1(1-23)Online publication date: 18-Sep-2023
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Huang ZSun JGuo X(2023)FastCNN: Towards Fast and Accurate Spatiotemporal Network for HEVC Compressed Video EnhancementACM Transactions on Multimedia Computing, Communications, and Applications10.1145/356958319:3(1-22)Online publication date: 25-Feb-2023
https://dl.acm.org/doi/10.1145/3569583
Li YZhang LZhang K(2023)iDAM: Iteratively Trained Deep In-loop Filter with Adaptive Model SelectionACM Transactions on Multimedia Computing, Communications, and Applications10.1145/352910719:1s(1-22)Online publication date: 23-Jan-2023
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Kathariya BLi ZAuwera G(2023)Joint Pixel and Frequency Feature Learning and Fusion via Channel-Wise Transformer for High-Efficiency Learned In-Loop Filter in VVCIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2023.332348334:5(4070-4083)Online publication date: 10-Oct-2023
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Dong CMa HLi ZLi LLiu D(2023)Temporal Wavelet Transform-Based Low-Complexity Perceptual Quality Enhancement of Compressed VideoIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2023.331683434:5(4040-4053)Online publication date: 18-Sep-2023
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Li MJi W(2023)Lightweight Multiattention Recursive Residual CNN-Based In-Loop Filter Driven by Neuron DiversityIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2023.327072933:11(6996-7008)Online publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1109/TCSVT.2023.3270729
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