.png){kind=icon}
.png){kind=icon}
Return
One-dimensional processing for efficient optimal post-process/in-loop filtering in video coding
.png){kind=icon}
PRE
AI
DOI：10.1109/TCE.2008.4637626.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
In this paper, of, efficient optimal post-process/in-loop filtering in video coding is presented by applying two separate one-dimensional filters to significantly decrease the computational load of the optimal filtering process at the expense of only a slight quality loss. Furthermore, the compression of filter coefficients is evaluated using a Golomb-Rice (GR) coding Rice (GR) coding approach together with differential encoding. Experimental results show that the proposed one-dimensional processing approach reduces the computational complexity by, at least 4 times compared to the formerly proposed two-dimensional optimal filtering case and enables real-time implementation. It is furthermore shown that, the filter coefficients can be compressed by up to 40% if GR coding is used together with differential encoding(1).
Keywords:
video compression
optimal filtering
Golomb-Rice coding
Journal
IF:
10.9
Papers:
5.1K
Citations:
6.8K