残差变换的方向样本重排序

Q. Wu, Hongliang Li, Tiantang Chen
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引用次数: 0

摘要

提出了一种基于方向性样本重排序(DSR)的残差数据变换算法。为了使残差更适合于离散余弦变换,可以通过对块内样本重新排序,将任意大小的预测块内的对角线边缘旋转为规则的水平边缘。在DSR处理后,利用残差数据进行二维离散余弦变换。实验结果表明,与H.264帧内编码相比,该算法在高码率下的CIF序列增益可达0.5967 dB,平均增益为0.4372 dB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Directional samples reordering for intra residual transform
In this paper, a directional samples reordering (DSR) based algorithm was proposed for intra residual data transform. To make the residual more suitable for discrete cosine transform, the diagonal edge in arbitrary size of intra prediction block can be rotated to a regular horizontal edge by reordering the samples in the block. The intra residual data will be used to implement 2D discrete cosine transform after DSR procedure. Experimental results show that up to 0.5967 dB and on average 0.4372 dB gain can be achieved for CIF sequence in high bitrate with the proposed algorithm at high complexity mode than H.264 intra coding.
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