基于活动图的H.264/AVC内部预测的高效压缩算法

June Kim, Youngseop Kim, Yong-Hwan Lee, Oh-Jin Kwon, Bonam Kim
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引用次数: 3

摘要

H.264/AVC是由ITU-T VCEG和ISO/IEC MPEG开发的国际视频编码标准,众所周知比其他标准效率更高。H.264/AVC的参数块模式提供了更高的压缩率,但由于其压缩效率较低,研究人员往往忽略了算法的内预测编码能力。本研究考察了这一被忽视的方面,以确定其对压缩效率的影响,并确定潜在的不利影响。本文提出了一种新的算法来提高效率,该算法使用活动图作为各自预测块的像素单位,并结合特定的阈值。实验结果表明,与现有的H.264/AVC算法相比,该算法在不增加整体编码时间和PSNR复杂度的情况下,压缩效率显著提高了0.35%以上。
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Efficient Compression Algorithm for H.264/AVC Intra-prediction Using an Activity Map
H.264/AVC, the international video coding standard developed by ITU-T VCEG and ISO/IEC MPEG, is known to be more efficient than other standards. Higher compression is provided with the parameter block mode of H.264/AVC, but due to its low compression efficiency, researchers tend to ignore the algorithm's intra-prediction coding capability. This study examined this overlooked aspect to determine its impact on compression efficiency and identify potential adverse effects. This paper proposes a novel algorithm to boost efficiency using an activity map for the pixel unit of respective prediction block in conjunction with specific thresholds. Experimental results reveal that compared to the existing H.264/AVC algorithm, the proposed algorithm shows a significant improvement of over 0.35% in the compression efficiency without any increase in overall encoding time and PSNR complexity.
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