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针对ARPS算法中初始预测运动矢量不够精确并且ARPS算法针对不同宏块采用相同搜索策略的问题,在深入研究ARPS算法原理的基础上,提出一种基于自适应扁平搜索模板的新的快速运动估计算法.本文在算法的初始预测运动矢量、算法提前终止准则等方面提出了新的观点和方法,同时针对物体的不同运动趋势采用不同的搜索模板.实验证明,本文提出的改进算法在不影响图像编码效率的前提下较大地降低了计算复杂度.
Aiming at the problem that the initial prediction motion vector in ARPS algorithm is not accurate enough and the ARPS algorithm uses the same search strategy for different macroblocks, a new fast motion estimation algorithm based on adaptive flat search template is proposed based on the research of ARPS algorithm In this paper, we propose new ideas and methods in terms of the initial prediction motion vector of the algorithm and the early termination criterion of the algorithm, and also use different search templates for different motion trends of objects.Experiments show that the improved algorithm proposed in this paper does not affect the image coding Efficiency greatly reduces the computational complexity under the premise of efficiency.