[1]沈 娟,田绪婷,郭 丹,等.基于加权运动估计多层次检测的帧率转换算法[J].南京理工大学学报(自然科学版),2016,40(01):41.
 Shen Juan,Tian Xuting,Guo Dan,et al.Frame rate conversion algorithm based on multi-levelweighted motion estimation[J].Journal of Nanjing University of Science and Technology,2016,40(01):41.
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基于加权运动估计多层次检测的帧率转换算法
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
40卷
期数:
2016年01期
页码:
41
栏目:
出版日期:
2016-02-29

文章信息/Info

Title:
Frame rate conversion algorithm based on multi-levelweighted motion estimation
作者:
沈 娟1田绪婷2郭 丹2汪 萌2
1.安徽新华学院 信息工程学院,安徽 合肥 230088; 2.合肥工业大学 计算机与信息学院,安徽 合肥 230009
Author(s):
Shen Juan1Tian Xuting2Guo Dan2Wang Meng2
1.College of Information Engineering,Anhui Xinhua University,Hefei 230088,China; 2.School of Computer and Information,Hefei University of Technology,Hefei 230009,China
关键词:
运动矢量 加权运动估计 码本模型 多层次检测 运动补偿内插 帧率转换算法
Keywords:
motion vector weighted motion estimation codebook models multi-level detection motion-compensated interpolation frame rate conversion algorithm
分类号:
TP391.41
摘要:
为了增强帧率转换的有效性,该文提出了一种基于运动估计多层次检测的帧率转换算法。该算法首先利用加权运动估计优化调整的方法检测精确的运动矢量; 其次利用码本模型(Codebook model)的运动估计分割检测前景区域; 然后利用多级重叠块运动补偿重分类的方法检测能反映物体真实运动轨迹的运动矢量。该过程中,采用了预处理方法保证边缘结构信息的完整性,并且利用重分类和平滑方法对不可靠运动区域进行细化处理,有效地降低了传统方法中的方块效应和重影现象; 最后利用运动补偿内插实现帧率转换。实验结果表明:该算法相对于传统方法,更适用于背景复杂或快速运动变化的视频,主观视觉效果和客观评估标准上都有所提高,并且具有很好的适应性。
Abstract:
To enhance a video’s frame rate conversion,a frame rate conversion algorithm based on multi-level motion estimation is proposed.Firstly,more true motion vectors are achieved by the weighted motion estimation.Secondly,we detect moving areas and complex backgrounds in the video by a codebook model.Then,a multi-level overlapped block motion compensation method is used to detect the true object’s trajectory.A candidate block merging schedule is also used to protect the moving areas’ edge structure from being damaged.Finally,a reclassification schedule and a smoothing schedule are applied to the moving areas and complex backgrounds,which can effectively eliminate the blocking artifacts and ghost effects.Experiments show that the proposed algorithm perfects a higher image quality than traditional methods,and also has a better adaptability.

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备注/Memo

备注/Memo:
收稿日期:2015-11-15 修回日期:2006-01-30
基金项目:国家自然科学基金(61305062); 中国博士后科学基金(2012M511403); 安徽省自然科学基金(1308085QF102)
作者简介:沈娟(1984-),女,讲师,主要研究方向:图像处理和模式识别,E-mail:jshen.xh@gmail.com。
引文格式:沈娟,田绪婷,郭丹,等.基于加权运动估计多层次检测的帧率转换算法[J].南京理工大学学报,2016,40(1):41-49.
投稿网址:http://zrxuebao.njust.edu.cn
DOI:10.14177/j.cnki.32-1397n.2016.40.01.007
更新日期/Last Update: 2016-02-29