Changryoul Choi

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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)
One-bit transform (1BT)-based block motion estimation (ME) has been proposed to reduce the computational complexity by using Boolean exclusive-OR matching of one-bit representations of image frames. In this paper, a novel early termination algorithm for 1BT-based ME is proposed in order to decrease the calculations of the block distortion measure. Unlike(More)
Many fast block-matching algorithms (BMAs) reduce computational complexity by screening the number of checking points. Although many fast BMAs reduce computations, sometimes they should endure matching errors in comparison with full-search algorithm (FSA). In this paper, a novel fast BMA for constrained one-bit transform (C1BT)-based motion estimation is(More)
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)