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Norsk(NO) Deformable Wiener Filter for Future Video Coding

新型可变形维纳滤波器提升视频编码效率

研究人员开发了一种可变形维纳滤波器(DWF),以提高视频编码效率。这种新滤波器结合了局部和非局部特征,基于维纳滤波器理论通过监督学习训练滤波器系数。DWF将样本分类到组中,分配共享的滤波器系数,并自适应地融合局部和非局部参考样本。与现有的通用视频编码(VVC)方法相比,这种方法显示出显著的比特率节省。 AI

影响 这种新滤波器可能带来更高效的视频压缩,降低流媒体和存储的带宽要求。

排序理由 该集群包含一篇详细介绍新技术方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.CV 阅读 →

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新型可变形维纳滤波器提升视频编码效率

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该集群包含一篇详细介绍新技术方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 Norsk(NO) · Xuewei Meng, Chuanmin Jia, Xinfeng Zhang, Shanshe Wang, Siwei Ma ·

    可变形维纳滤波器用于未来视频编码

    arXiv:2606.01576v1 Announce Type: new Abstract: In-loop filters have attracted increasing attention due to the remarkable noise-reduction capability in the hybrid video coding framework. However, the existing in-loop filters in Versatile Video Coding (VVC) mainly take advantage o…