作者：
Wang, MiaohuiXie, WuyuanZhang, JiaQin, JingShenzhen Univ
Guangdong Key Lab Intelligent Informat Proc Guangdong Lab Artificial Intelligence & Digital E Shenzhen Inst Artificial Intelligence & Robot Soc Shenzhen 518060 Peoples R China Shenzhen Univ
Coll Elect & Informat Engn Shenzhen 518060 Peoples R China Shenzhen Univ
Coll Comp Sci & Software Engn Shenzhen 518060 Peoples R China IQIYI Inc
Coding Algorithm Grp Shenzhen 518000 Peoples R China Hong Kong Polytech Univ
Kowloon Hong Kong Peoples R China
This article presents an efficient superblock-based sample adaptive offset (superSAO) that jointly exploits block-wise filter partition and probabilistic band interval segmentation to improve quality-of-experience of ...
详细信息
This article presents an efficient superblock-based sample adaptive offset (superSAO) that jointly exploits block-wise filter partition and probabilistic band interval segmentation to improve quality-of-experience of industrial video applications. Specifically, we investigate the partition flexibility of a superSAO block whose root size is up to 256 x 256, and propose to optimize the block-wise SAO filter by considering computation complexity and compression efficiency. Furthermore, we segment the band interval by equal probability of the sample intensity distributions, which facilitates the computation of better band offsets to attenuate ringing artifact due to quantization errors or encoded motion vectors. Experimental results show that the proposed superSAO method outperforms state-of-the-art approaches by obtaining 4.6% bandwidth reduction on average for the low delay and high-compression video applications.
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