In this article, versatile video coding, the next-generation video coding standard, is combined with a deep convolutional neural network to achieve state-of-the-art image compression efficiency. The proposed hierarchical grouped residual dense network exhaustively exploits hierarchical features in each architectural level to maximize the image quality enhancement capability. The basic building block employed for hierarchical grouped residual dense network is residual dense block which exploits hierarchical features from internal convolutional layers. Residual dense blocks are then combined into a grouped residual dense block exploiting hierarchical features from residual dense blocks. Finally, grouped residual dense blocks are connected to comprise a hierarchical grouped residual dense block so that hierarchical features from grouped residual dense blocks can also be exploited for quality enhancement of versatile video coding intra-coded images. Various non-architectural and architectural aspects affecting the training efficiency and performance of hierarchical grouped residual dense network are explored. The proposed hierarchical grouped residual dense network respectively obtained 10.72% and 14.3% of Bjøntegaard-delta-rate gains against versatile video coding in the experiments conducted on two public image datasets with different characteristics to verify the image compression efficiency.

中文翻译：

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互联网多媒体业务VVC帧内编码质量提升

在本文中，下一代视频编码标准多功能视频编码与深度卷积神经网络相结合，以实现最先进的图像压缩效率。所提出的分层分组残差密集网络详尽地利用每个架构级别的分层特征来最大化图像质量增强能力。用于分层分组残差密集网络的基本构建块是残差密集块，它利用内部卷积层的分层特征。然后利用剩余密集块的分层特征将剩余密集块组合成分组的剩余密集块。最后，分组残差密集块被连接以包括分层分组残差密集块，从而来自分组残差密集块的分层特征也可用于通用视频编码帧内编码图像的质量增强。探讨了影响分层分组残差密集网络的训练效率和性能的各种非架构和架构方面。在对具有不同特征的两个公共图像数据集进行的实验中，所提出的分层分组残差密集网络分别获得了 10.72% 和 14.3% 的 Bjøntegaard-delta-rate 增益，以对抗通用视频编码，以验证图像压缩效率。探讨了影响分层分组残差密集网络的训练效率和性能的各种非架构和架构方面。在对具有不同特征的两个公共图像数据集进行的实验中，所提出的分层分组残差密集网络分别获得了 10.72% 和 14.3% 的 Bjøntegaard-delta-rate 增益，以对抗通用视频编码，以验证图像压缩效率。探讨了影响分层分组残差密集网络的训练效率和性能的各种非架构和架构方面。在对具有不同特征的两个公共图像数据集进行的实验中，所提出的分层分组残差密集网络分别获得了 10.72% 和 14.3% 的 Bjøntegaard-delta-rate 增益，以对抗通用视频编码，以验证图像压缩效率。