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A low power IC for efficient de-interlacing based on refined motion adaptive method

机译:基于精细运动自适应方法的高效去隔行的低功耗IC

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A digital system for efficient de-interlacing based on refined motion adaptive method is presented. The adaptive algorithm consists of same parity four-field motion detection, temporal averaging “Weave”, and edged-based line averaging (ELA). Four motion-levels can be estimated to avoid the influence of noise, while the usage of external memory for field buffering is saved. Adaptive fading between “Weave” and ELA is adopted to reconstruct image effectively with the estimated multilevel coefficient of motion. In refined ELA module, the accuracy of edge directional interpolation is ensured by condition judgment and de-ambiguous processing, while the efficiency of algorithm is improved under four-stage pipeline management. The implemented IC achieves high computational efficiency and low operating power consumption with reasonable architecture strategies. Experimental results show both excellent subjective quality and objective performance for real-time video applications.
机译:提出了一种基于精细运动自适应方法的高效去隔行数字系统。自适应算法包括相同的奇偶校验四场运动检测,时间平均“ Weave”和基于边的线平均(ELA)。可以估计四个运动级别,以避免噪声的影响,同时节省了用于字段缓冲的外部存储器的使用。采用“ Weave”和ELA之间的自适应淡入淡出功能,以估计的多级运动系数有效地重建图像。在改进的ELA模块中,通过条件判断和去歧义处理确保了边缘方向插值的准确性,而在四级流水线管理下提高了算法的效率。采用合理的架构策略,已实现的IC可以实现较高的计算效率和较低的工作功耗。实验结果表明,实时视频应用具有出色的主观质量和客观性能。

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