Adaptive enhancement filtering for motion compensation

Xiaoyu Xiu, Yuwen He, Yan Ye
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Abstract

This paper proposes an enhanced motion compensated prediction algorithm for hybrid video coding. The algorithm is built upon the concept of applying adaptive enhancement filtering at the motion compensation stage. For luma, a high-pass filter is applied to the motion compensated prediction signal to recover distorted high-frequency information. For chroma, cross-plane filters are applied to enhance the motion compensated signals by restoring the blurred edges and textures of the chroma planes using the high-frequency information of the luma plane. To verify the effectiveness, the proposed algorithm is implemented on the HM Key Technology Area (HM-KTA) 1.0 platform. Experimental results show that compared to the anchor, the proposed algorithm achieves average Bjentegaard delta (BD) rate savings of 0.4%, 8.8% and 7.4% for Y, Cb and Cr components, respectively.
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运动补偿的自适应增强滤波
提出了一种用于混合视频编码的增强运动补偿预测算法。该算法基于在运动补偿阶段应用自适应增强滤波的概念。对于luma,对运动补偿的预测信号进行高通滤波,恢复失真的高频信息。对于色度,交叉平面滤波器通过利用亮度平面的高频信息恢复色度平面的模糊边缘和纹理来增强运动补偿信号。为了验证该算法的有效性,在HM Key Technology Area (HM- kta) 1.0平台上实现了该算法。实验结果表明,与锚定算法相比,该算法在Y、Cb和Cr分量上分别实现了0.4%、8.8%和7.4%的平均Bjentegaard delta (BD)速率节约。
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