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A low complexity DC-compensated weighted two-bit transform (2BT) based multiple candidate motion estimation algorithm is proposed in this paper. By exploiting almost the identical operations in two different matching error criteria and incorporating the DC-term into them, we can efficiently determine two best motion vectors according to the respective(More)
An improved two-bit transform-based motion estimation algorithm is proposed in this paper. By extending the typical two-bit transform (2BT) matching criterion, the proposed algorithm enhances the motion estimation accuracy with almost the same computational complexity, while preserving the binary matching characteristic. Experimental results show that the(More)
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.(More)