Adaptive Loop Filter Technique for 3D-HEVC Standard

2015 ◽  
Author(s):  
Delaram Amiri ◽  
Mohamed El-Sharkawy ◽  
Brian King
Keyword(s):  
Loop Filter ◽  
Filter Technique ◽  
Adaptive Loop Filter

A Hardware Architecture for Adaptive Loop Filter in VVC Decoder

2021 ◽  
Author(s):  
Xin Wang ◽  
Heming Sun ◽  
Jiro Katto ◽  
Yibo Fan
Keyword(s):  
Hardware Architecture ◽  
Loop Filter ◽  
Adaptive Loop Filter

scholarly journals Extended multiple feature-based classifications for adaptive loop filtering

2019 ◽  
Vol 8 ◽  
Author(s):  
Johannes Erfurt ◽  
Wang-Q Lim ◽  
Heiko Schwarz ◽  
Detlev Marpe ◽  
Thomas Wiegand
Keyword(s):  
Video Compression ◽  
Main Idea ◽  
Loop Filter ◽  
Coding Efficiency ◽  
Multiple Feature ◽  
Wiener Filters ◽  
Feature Based ◽  
Block Based ◽  
Adaptive Loop Filter ◽  
Offset Filtering

Abstract Recent progress in video compression is seemingly reaching its limits making it very hard to improve coding efficiency significantly further. The adaptive loop filter (ALF) has been a topic of interest for many years. ALF reaches high coding gains and has motivated many researchers over the past years to further improve the state-of-the-art algorithms. The main idea of ALF is to apply a classification to partition the set of all sample locations into multiple classes. After that, Wiener filters are calculated and applied for each class. Therefore, the performance of ALF essentially relies on how its classification behaves. In this paper, we extensively analyze multiple feature-based classifications for ALF (MCALF) and extend the original MCALF by incorporating sample adaptive offset filtering. Furthermore, we derive new block-based classifications which can be applied in MCALF to reduce its complexity. Experimental results show that our extended MCALF can further improve compression efficiency compared to the original MCALF algorithm.

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