改进色度从亮度内预测模式超越AV1

Jing Ye, Liang Zhao, Xin Zhao, Shanchun Liu
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引用次数: 0

摘要

在AV1中,采用CfL (Chroma from Luma)帧内预测模式,利用亮度和色度分量同位样本之间的线性相关性来预测色度样本,将线性模型的比例因子传输到解码器侧,并推导出相邻色度像素的平均值作为偏移因子。本文从以下三个方面对CfL预测模型进行了改进。首先,对亮度和色度之间的直流贡献计算进行了校正,提高了CfL预测的准确性;其次,为了进一步增强CfL预测模型,采用了一种新的不含比例因子信号的跨分量内预测模型。第三,在编码器端为每个视频序列自适应地选择CfL模式下采样滤波器。仿真结果表明,在amedia Video Model (AVM) v3.0.0的基础上,在所有intra、随机接入和低延迟配置下,YUV-PNSR的平均编码增益分别为0.9%、0.5%和0.4%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved Chroma From Luma Intra Prediction Mode Beyond AV1
In AV1, Chroma from Luma (CfL) intra prediction mode is adopted to predict chroma samples by exploiting the linear correlation between the co-located samples of luma and chroma components, wherein the scaling factor of the linear model is transmitted to the decoder side and the offset factor is derived as the average of neighboring chroma pixels. In this paper, the CfL prediction mode is improved in following three aspects. Firstly, the calculation of DC contribution between luma and chroma is aligned to improve the accuracy of CfL prediction. Secondly, to further enhance the CfL prediction mode, a new cross-component intra prediction mode without signaling of scaling factor is employed. Thirdly, the down-sampling filter for CfL mode is adaptively selected at the encoder side for each video sequence. Simulation results show that, on top of AOMedia Video Model (AVM) v3.0.0, an average coding gain of 0.9%, 0.5%, and 0.4% in terms of YUV-PNSR is achieved for all intra, random access, and low delay configurations, respectively.
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