HEVC Deblocking Filter

By A. Norkin, Gisle Bjøntegaard, A. Fuldseth, Matthias Narroschke, Masaru Ikeda, K. Andersson, M. Zhou, G. V. D. Auwera. IEEE transactions on circuits and systems for video technology (Print), 2012

345 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Signal Processing

View Paper: https://www.semanticscholar.org/paper/063d77e8a492f947845fd51627344ba4c0d9372a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

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].”
• Image and Video Compression With Neural Networks: A Review (2019, methodology): “263+ [99], and many different kinds of loop filters [21]–[23], [27], [28] are proposed after that.”
• 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.”