计算机工程与应用Issue(7)：174-178,5.DOI:10.3778/j.issn.1002-8331.1305-0110
基于高斯金字塔的图像运动估计算法
New diamond search algorithm based on Gaussian Pyramid
摘要
Abstract
Motion estimation is an essential process in the super-resolution reconstruction which directly effects the quality of resultant image. To reduce the searching points of motion estimation and improve the search speed, this paper proposes an improved small cross-diamond search algorithm based on Gaussian Pyramid. A Gaussian Pyramid with two layers is constructed. The first layer is used for estimating the initial motion vector by using the small cross-diamond search algo-rithm, and the early termination strategy is adopted to terminate the algorithm in advance, while the second layer evalu-ates the final offset value based on the initial motion vector produced in the first layer. Experiment is conducted with stan-dard image sequences. The experimental results show that the proposed algorithm can greatly improve search speed within the desirable search accuracy, and especially for the sequences with large motion deviation.关键词
高斯金字塔/小十字形搜索算法/提前终止策略/图像运动矢量Key words
Gaussian Pyramid/small cross-diamond search algorithm/early termination strategy/motion vector分类
信息技术与安全科学引用本文复制引用
王斌,何中市,伍星,贾媛媛..基于高斯金字塔的图像运动估计算法[J].计算机工程与应用,2015,(7):174-178,5.基金项目
西部交通建设科技项目（No.2011318740240）。 （）
