根据H.266/VVC的Luma差异进行自适应色彩预测.
概括
这项研究介绍了基于光差的色谱预测 (LDCP) 用于增强的H.266/VVC视频编码. 通过使用光度差异来适应重量化色彩参考样本,LDCP提高了编码效率,实现了显著的比特率降低.
科学领域:
- 视频压缩技术视频压缩技术
- 数字信号处理 数字信号处理
- 计算机视觉 计算机视觉
背景情况:
- 跨组件色彩预测对于在H.266/VVC.中高效的视频编码至关重要.
- 现有的方法可能无法充分利用 luma 和 chroma 组件之间的关系.
研究的目的:
- 开发一种以注意力为基础的模型,用于使用光差进行色彩预测.
- 通过自适应色彩权重来提高H.266/VVC中的编码效率.
主要方法:
- 设计了一个基于光差的色谱预测 (LDCP) 模型,利用注意力机制.
- 使用光差 (LD) 作为软max函数的输入,用于非线性映射到色度重量.
- 通过基于模板 (T-LDCP) 和离线学习 (L-LDCP) 的方法实施了自适应权重.
主要成果:
- T-LDCP实现了0.34% (Y),2.02% (Cb) 和2.34% (Cr) 的BD率降低.
- L-LDCP导致BD率节省了0.32% (Y),2.06% (Cb) 和2.21% (Cr).
- L-LDCP引入了轻微的编码 (2%) 和解码 (1%) 时间增加,最小的硬件友好的并行化好处.
结论:
- LDCP有效地提高了H.266/VVC.中的色彩预测准确性和编码效率.
- 无论是T-LDCP还是L-LDCP,都能大幅节省比特率,而L-LDCP则能提供稍微更好的压缩.
- 由于其像素级并行化功能,LDCP方法是硬件友好的.
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