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

Changryoul Choi, Jechang Jeong
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引用次数: 3

Abstract

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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位反转灰度编码位平面匹配低复杂度运动估计
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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