Enhanced intra coding with joint line and pixel prediction

Li Zhang, Siwei Ma, Wen Gao
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引用次数: 1

Abstract

Existing video coding standards always employ line-based intra prediction for intra frame coding. However, it sometimes does not perform well for the bottom-right boundary pixels due to the low correlation with the referenced pixels. In this paper, we propose a novel joint line and pixel prediction (JLPP) method to compensate the performance degradation of boundary pixels. In JLPP, each block is partitioned into two subblocks, including a P-subblock covering bottom and right pixels and a L-subblock comprising the rest pixels. L-subblock will firstly be predicted and coded in a similar way to H.264/AVC intra coding. Secondly, a gradient-adjusted prediction scheme is applied to P-subblock with the aid of the reconstructed pixels in L-subblock. Therefore, the reconstruction qualities of the boundary pixels used to predict the subsequent blocks can be enhanced. Experimental results demonstrate that the proposed method achieves a PSNR gain of up to 0.63dB compared with H.264/AVC intra coding.
增强内部编码与联合线和像素预测
现有的视频编码标准通常采用基于线的帧内预测进行帧内编码。然而,由于与参考像素的相关性较低,有时对右下边界像素表现不佳。本文提出了一种新的联合线和像素预测(JLPP)方法来补偿边界像素的性能下降。在JLPP中,每个块被划分为两个子块,包括覆盖底部和右侧像素的p子块和包含其余像素的l子块。l子块将首先以类似于H.264/AVC的编码方式进行预测和编码。其次,利用l子块中的重构像元对p子块进行梯度调整预测;因此,用于预测后续块的边界像素的重建质量可以得到提高。实验结果表明,与H.264/AVC内编码相比,该方法的PSNR增益可达0.63dB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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