Sample Adaptive Offset in the HEVC Standard

By Chih-Ming Fu, E. Alshina, A. Alshin, Yu-Wen Huang, Ching-Yeh Chen, Chia-Yang Tsai, Chih-Wei Hsu, S. Lei, Jeonghoon Park, Woojin Han. IEEE transactions on circuits and systems for video technology (Print), 2012

383 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Signal Processing

View Paper: https://www.semanticscholar.org/paper/ba6a31d6c126a171c98cca51df7d51c876b67135

How researchers see this paper

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In Computer Vision and Pattern Recognition

1. Siwei Ma
2. Shiqi Wang
3. Shanshe Wang
4. Xinfeng Zhang
5. Zhenghui Zhao
6. Feng Wu
7. Chuanmin Jia
8. Dong Liu

In Signal Processing

1. Shanshe Wang
2. Shiqi Wang
3. Siwei Ma
4. Xinfeng Zhang
5. Zhenghui Zhao
6. Chuanmin Jia
7. Dong Liu
8. Feng Wu

Citations in the corpus

• A Convolutional Neural Network Approach for Post-Processing in HEVC Intra Coding (2016, methodology): “In HEVC, the state-of-the-art video coding standard, there are two postprocessing techniques for artifact reduction, namely deblocking [11] and sample adaptive offset (SAO) [4].”
• Enhancing HEVC Compressed Videos with a Partition-Masked Convolutional Neural Network (2018, methodology): “[ 6] designed a CNN to replace the loop filter [7, 8] in HEVC.”
• Image and Video Compression With Neural Networks: A Review (2019, methodology): “Moreover, HEVC adopts two loop filters, i.e., deblocking filter and SAO, to reduce the compression artifacts sequentially.”