A new diamond search algorithm for fast block-matching motion estimation

Based on the study of motion vector distribution from several commonly used test image sequences, a new diamond search (DS) algorithm for fast block-matching motion estimation (BMME) is proposed in this paper. Simulation results demonstrate that the proposed DS algorithm greatly outperforms the well...

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Vydáno v:IEEE transactions on image processing Ročník 9; číslo 2; s. 287 - 290
Hlavní autoři: Zhu, S, Ma, K K
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York, NY IEEE 2000
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:1057-7149, 1941-0042
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Shrnutí:Based on the study of motion vector distribution from several commonly used test image sequences, a new diamond search (DS) algorithm for fast block-matching motion estimation (BMME) is proposed in this paper. Simulation results demonstrate that the proposed DS algorithm greatly outperforms the well-known three-step search (TSS) algorithm. Compared with the new three-step search (NTSS) algorithm, the DS algorithm achieves close performance but requires less computation by up to 22% on average. Experimental results also show that the DS algorithm is better than the four-step search (4SS) and block-based gradient descent search (BBGDS), in terms of mean-square error performance and required number of search points.
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ISSN:1057-7149
1941-0042
DOI:10.1109/83.821744