IMPLEMENTATION OF SAD ALGORITHM FOR MOTION ESTIMATION

Electronics and Communication Engineering

Motion estimation (ME) is the process of determining motion vectors that describe the transformation from one 2D image to another, usually from adjacent frames in a video sequence and it is the most complex part of most popular video compression standards. In the proposed project, an efficient implementation of SAD algorithm to find the motion vectors for the motion estimation is proposed. The proposed algorithm makes motion estimation more concise. The texture-based search strategies are based on temporal stationarity and spatial homogeneity with Sobel edge operator. The four-pixel SAD unit which is the basic processing element (PE) in our proposed architecture is used for SAD calculation and Sobel edge operator computation. The architecture achieves very high data utilization and data throughput. The proposed method for calculation of motion vector is by using SAD algorithm. The processing element is used in a pipelined manner for computing SAD value thus the proposed architecture can significantly reduce the hardware cost since it reduces the number of processing elements used for calculation of motion vectors, decreases the area utilisation and the power consumption. The design can be implemented with SMIC 0.18μm CMOS technology.

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