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Article

A GAN-Based Video Intra Coding

by 1, 2,3,*, 1 and 1,4
1
School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou 510006, China
2
School of Microelectronics Science and Technology, Sun Yat-Sen University, Zhuhai 519082, China
3
Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai 519082, China
4
Peng Cheng Laboratory, Shenzhen 518000, China
*
Author to whom correspondence should be addressed.
Electronics 2021, 10(2), 132; https://doi.org/10.3390/electronics10020132
Received: 20 November 2020 / Revised: 31 December 2020 / Accepted: 4 January 2021 / Published: 9 January 2021
(This article belongs to the Special Issue Recent Advances in Multimedia Signal Processing and Communications)
Intra prediction is a vital part of the image/video coding framework, which is designed to remove spatial redundancy within a picture. Based on a set of predefined linear combinations, traditional intra prediction cannot cope with coding blocks with irregular textures. To tackle this drawback, in this article, we propose a Generative Adversarial Network (GAN)-based intra prediction approach to enhance intra prediction accuracy. Specifically, with the superior non-linear fitting ability, the well-trained generator of GAN acts as a mapping from the adjacent reconstructed signals to the prediction unit, implemented into both encoder and decoder. Simulation results show that for All-Intra configuration, our proposed algorithm achieves, on average, a 1.6% BD-rate cutback for luminance components compared with video coding reference software HM-16.15 and outperforms previous similar works. View Full-Text
Keywords: intra coding; generative adversarial network; video coding; high efficiency video coding intra coding; generative adversarial network; video coding; high efficiency video coding
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MDPI and ACS Style

Zhong, G.; Wang, J.; Hu, J.; Liang, F. A GAN-Based Video Intra Coding. Electronics 2021, 10, 132. https://doi.org/10.3390/electronics10020132

AMA Style

Zhong G, Wang J, Hu J, Liang F. A GAN-Based Video Intra Coding. Electronics. 2021; 10(2):132. https://doi.org/10.3390/electronics10020132

Chicago/Turabian Style

Zhong, Guangyu, Jun Wang, Jiyuan Hu, and Fan Liang. 2021. "A GAN-Based Video Intra Coding" Electronics 10, no. 2: 132. https://doi.org/10.3390/electronics10020132

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