LPF-based motion estimation

Z. Cai
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Abstract

A novel approach is proposed to improve motion estimation, in which low-pass filtered images are used in a motion estimation scheme. When a correct low-pass filter is used in a motion estimation and compensation scheme, the transmitted data and the total time to get the best matches are greatly reduced while the reconstructed image sequences have almost the same quality as those using original motion estimation algorithms. This method can be exploited in any motion estimation scheme to further reduce bit-rates and the time for motion estimation.
基于lpf的运动估计
提出了一种改进运动估计的新方法,在运动估计方案中使用低通滤波图像。在运动估计和补偿方案中使用正确的低通滤波器,可以大大减少传输的数据量和获得最佳匹配的总时间,而重建的图像序列的质量与使用原始运动估计算法的图像序列几乎相同。该方法可用于任何运动估计方案,以进一步降低比特率和运动估计时间。
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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