Abstract: Motion estimation refers to estimating 2-D motion vector field of the scene or object according to temporal information redundancy in a clipped video. Because of its simplicity and efficiency, block-based motion estimation has recently been widely used. This paper proposes a hybrid method for combining spatial prediction with the CDS algorithm. If the motion of the current block is similar to that of its neighbor blocks, we choose the best candidate block from the neighbor blocks and use its motion vector to form an initial estimate for the current block. The neighbor block whose motion vector yields the minimum block distortion is called the best candidate block. The true motion vector is then obtained by comparing the search points of SDSP centered at the initial estimate. If the current block is not correlated with its spatial neighbors, we search for the motion vector from the origin of the search window using the CDS algorithm. Experimental results show that the proposed algorithm achieves a better trad off between search speed and accuracy for super resolution restoration than N3SS, DS, HEXBS, CDS, and CDHS.