Signal Dependent Transform Based on SVD for HEVC Intracoding

Signal Dependent Transform Based on SVD for HEVC Intracoding
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DOI:
10.1109/tmm.2017.2703114
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发表时间:
2017-05
影响因子:
7.3
通讯作者:
Zhang Tao;Haoming Chen;Ming-Ting Sun;Debin Zhao;Wen Gao
Zhang Tao;Haoming Chen;Ming-Ting Sun;Debin Zhao;Wen Gao
中科院分区:
计算机科学1区
文献类型:
--
作者:
Zhang Tao;Haoming Chen;Ming-Ting Sun;Debin Zhao;Wen Gao

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变换用于将块的能量压缩成少量的系数,并且广泛用于最近的图像/视频编码标准中。在最新的视频编码标准高效视频编码(HEVC)中,采用离散余弦变换(DCT)和离散正弦变换(DST)的组合来对来自帧内预测的残差进行变换。由于DCT和DST是从高斯-马尔可夫模型导出的固定变换,因此DCT/DST可能不能很好地压缩某些残差块。在本文中,我们提出了一种基于奇异值分解(SVD)的信号相关变换来进行HEVC内编码。所提出的变换(SDT-SVD)是通过对合成块执行SVD而得到的,并考虑到它们之间的结构相似性而应用于残差块。此外,我们将SDT-SVD扩展到模板匹配预测(TMP),以进一步提高编码内的性能。实验结果表明,所提出的角度帧内预测(AIP)变换优于最新的HEVC参考软件,平均比特率降低1.0%,最高可达2.1%。当所提出的变换扩展到基于TMP的帧内编码时,整体比特率平均降低2.7%,最高可达5.8%。
Transform is used to compact the energy of the blocks into a small number of coefficients and is widely used in recent image/video coding standards. In the latest video coding standard high efficiency video coding (HEVC), a combination of discrete cosine transform (DCT) and discrete sine transform (DST) is adopted to transform the residuals from intra prediction. Since the DCT and DST are the fixed transforms that are derived from the Gauss–Markov model, some of residual blocks may not be compacted well by the DCT/DST. In this paper, we propose a signal dependent transform based on singular value decomposition (SVD) for HEVC intracoding. The proposed transform (SDT-SVD) is derived by performing SVD on the synthetic block and applied to the residual block considering the structural similarity between them. Furthermore, we extend SDT-SVD to template matching prediction (TMP) to further improve the intracoding performance. Experimental results show that the proposed transform on angular intra prediction (AIP) outperforms the latest HEVC reference software with a bit rate reduction of 1.0% on average and it can be up to 2.1%. When the proposed transform is extended to TMP-based intracoding, the overall bit rate reduction is 2.7% on average and can be up to 5.8%.