Four-step genetic search for block motion estimation
نویسندگان
چکیده
Genetic Algorithms (GA) is well known for searching global maxima and minima[1, 2]. In general, number of search points required by GA for searching global extreme is much lower than the exhausted search. GA has been applied to Block Matching Algorithm (BMA) and demonstrates positively its capability in BMA. The mean square error (MSE) performance of GA based BMA is close to full search (FS). However, the disadvantage of GA is the computational requirement for practical use. A four-step genetic search algorithm is proposed to BMA. The proposed method takes advantage of GA and 4SS. The simulation result shows the proposed method has similar performance to full-search (FS) in terms of MSE. In addition, number of search points required by the proposed algorithm is approximately equal to 14% of FS and closed to three-step search (3SS). The speed up ratio between proposed algorithm and FS is 5.6 times.
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