位反转灰度编码位平面匹配低复杂度运动估计

2015 International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS) Pub Date : 2015-02-11 DOI:10.5220/0005323902300234

Changryoul Choi, Jechang Jeong

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引用次数: 3

摘要

提出了一种用于低复杂度运动估计的位倒格雷编码位平面匹配算法。与典型的灰度编码位平面匹配算法不同，该算法采用位反转的灰度编码对图像帧进行变换，并采用相应的扩展匹配准则来提高运动估计精度。实验结果表明，该算法在保持二值匹配特性的同时，优于其他基于位平面匹配的运动估计算法。

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Bit-inverted Gray coded bit-plane matching for low complexity motion estimation

In this paper, a bit-inverted Gray coded bit-plane matching algorithm is proposed for low complexity motion estimation. Unlike the typical Gray coded bit-plane matching algorithms, the proposed algorithm uses bit-inverted Gray codes for transforming image frames and a corresponding extended matching criterion to enhance the motion estimation accuracy. Experimental results show that the proposed algorithm outperforms other bit-plane matching based motion estimation algorithms while preserving the binary matching characteristic.

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来源期刊

2015 International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS)

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