计算机科学 ›› 2019, Vol. 46 ›› Issue (3): 88-91.doi: 10.11896/j.issn.1002-137X.2019.03.011
何晓艺1,段凌宇2,林巍峣1
HE Xiao-yi1,DUAN Ling-yu2,LIN Wei-yao1
摘要： 文中提出了一种基于深度残差网络的HEVC压缩视频增强方法。该方法利用一系列级联的残差模块来完成特征提取,然后基于这些特征进行视频的质量增强。与现有的方法相比,所提方法能够捕捉到压缩视频帧更清晰和泛化的特征。实验结果表明,所提方法在20个通用的测试视频序列上能够实现平均6.92%的BD-rate增益,是所有参与比较的方法中效果最好的。
中图分类号:
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