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This thesis proposes a Discrete Wavelet Transform (DWT) based Block Matching Binary Motion Estimation (BME) algorithm. By using the DWT analysis, the size of data involved in the algorithm is enormously reduced. On the process of extracting the motion vector (MV), the block matching is performed only on one of the sub-frames of the DWT of the original frame. Motion vector is then found by means of minimum Sum of Absolute Differences (SAD). The proposed algorithm skips unnecessary steps of computations so it decreases the computational load with successive elimination of noncandidate blocks in the search window. The proposed technique outperforms conventional full search block matching method, which is described in MPEG-4 verification mode, in terms of both peak signal to noise ratio and computational complexity. It is shown that the proposed algorithm is simple and efficient while keeping the same regularity and good performance.

An Efficient Block Matching Binary Motion Estimation Algorithm Using One Level Decomposition of Discrete Wavelet Transform