快速率失真优化变换的Intra编码

Xin Zhao, Li Zhang, Siwei Ma, Wen Gao
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摘要

在我们之前的工作中,引入了用于Intra编码的率失真优化变换(RDOT),其特点是使用多个离线训练的变换矩阵候选者。提出的RDOT在KTA Intra编码中实现了显著的编码增益,同时在解码器上保持了几乎相同的计算复杂度。然而,在编码器上,由于对变换矩阵进行了昂贵的率失真(R-D)优化选择,计算复杂度急剧增加。为了解决这一问题,本文提出了一种使用宏块和块级R-D成本阈值的快速RDOT方案。利用该方法,可以有效地跳过模式决策过程中不必要的模式试验和变换矩阵的R-D评估。大量的实验结果表明,在编码性能下降可以忽略不计的情况下,该方法节省了约88.9%的总编码时间。
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Fast rate-distortion optimized transform for Intra coding
In our previous work, the rate-distortion optimized transform (RDOT) is introduced for Intra coding, which is featured by the usage of multiple offline-trained transform matrix candidates. The proposed RDOT achieves remarkable coding gain for KTA Intra coding, while maintaining almost the same computational complexity at the decoder. However, at the encoder, the computational complexity is increased drastically by the expensive ratedistortion (R-D) optimized selection of transform matrix. To resolve this problem, in this paper, we propose a fast RDOT scheme using macroblock- and block-level R-D cost thresholding. With the proposed method, unnecessary mode trials and R-D evaluations of transform matrices can be efficiently skipped from the mode decision process. Extensive experimental results show that, with negligible coding performance degradation, about 88.9% of the total encoding time is saved by the proposed method.
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