Open AccessLoad Balancing Based on Transform Unit Partition Information for High Efficiency Video Coding Deblocking Filter
Author(s) -
Ryu Hochan,
Park Seanae,
Ryu EunKyung,
Sim Donggyu
Publication year - 2017
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.17.0116.0638
Subject(s) - deblocking filter , computer science , coding (social sciences) , filter (signal processing) , parallel computing , algorithm , computer vision , mathematics , statistics
In this paper, we propose a parallelization method for a High Efficiency Video Coding (HEVC) deblocking filter with transform unit (TU) split information. HEVC employs a deblocking filter to boost perceptual quality and coding efficiency. The deblocking filter was designed for data‐level parallelism. In this paper, we demonstrate a method of distributing equal workloads to all cores or threads by anticipating the deblocking filter complexity based on the coding unit depth and TU split information. We determined that the average time saving of our proposed deblocking filter parallelization method has a speed‐up factor that is 2% better than that of the uniformly distributed parallel deblocking filter, and 6% better than that of coding tree unit row distribution parallelism. In addition, we determined that the speed‐up factor of our proposed deblocking filter parallelization method, in terms of percentage run‐time, is up to 3.1 compared to the run‐time of the HEVC test model 12.0 deblocking filter with a sequential implementation.