首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于离散粒子群优化算法的块匹配运动估计
引用本文:蒋建国,牛励诚,齐美彬.基于离散粒子群优化算法的块匹配运动估计[J].合肥工业大学学报(自然科学版),2011(11):1661-1665.
作者姓名:蒋建国  牛励诚  齐美彬
作者单位:合肥工业大学计算机与信息学院;合肥工业大学安全关键工业测控技术教育部工程研究中心;
基金项目:高等学校博士学科点专项科研基金资助项目(20060359004); 国家科技部中小企业创新基金资助项目(09CZ6213401392)
摘    要:文章提出了一种基于离散粒子群优化算法的块匹配运动估计算法.该算法将块匹配运动估计的局域性搜索与离散粒子群算法的全局性搜索结合起来,并针对运动矢量的特点,采用了Gray码编码、运动矢量预测以及有效的迭代提前终止准则等策略,克服了以往快速搜索算法容易落入局部最优的问题,在获得与全搜索算法相近的搜索精度的同时,降低了平均搜索...

关 键 词:运动估计  块匹配算法  离散粒子群优化算法  运动矢量

Block matching algorithm based on discrete particle swarm optimization for motion estimation
JIANG Jian-guo,NIU Li-cheng,QI Mei-bin.Block matching algorithm based on discrete particle swarm optimization for motion estimation[J].Journal of Hefei University of Technology(Natural Science),2011(11):1661-1665.
Authors:JIANG Jian-guo    NIU Li-cheng  QI Mei-bin
Institution:JIANG Jian-guo1,2,NIU Li-cheng1,QI Mei-bin1,2(1.Shool of Computer and Information,Hefei University of Technology,Hefei 230009,China,2.Engineering Research Center of Safety Critical Industrial Measurement and Control Technology of Ministry of Education,China)
Abstract:In this paper,a block matching algorithm(BMA) based on discrete particle swarm optimization(DPSO) is proposed for motion estimation.By integrating the local searching of BMA with the global searching of DPSO and using strategies like Gray encoding,motion vector prediction and effective early termination criteria of iteration according to the features of motion vector,the proposed algorithm overcomes the shortcoming of being liable to local optimum from which traditional algorithms often suffered.The simulat...
Keywords:motion estimation  block matching algorithm(BMA)  discrete particle swarm optimization(DPSO)  motion vector  
本文献已被 CNKI 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号