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基于加权运动估计和矢量分割的运动补偿内插算法

鲁志红 郭丹 汪萌

鲁志红, 郭丹, 汪萌. 基于加权运动估计和矢量分割的运动补偿内插算法. 自动化学报, 2015, 41(5): 1034-1041. doi: 10.16383/j.aas.2015.c140686
引用本文: 鲁志红, 郭丹, 汪萌. 基于加权运动估计和矢量分割的运动补偿内插算法. 自动化学报, 2015, 41(5): 1034-1041. doi: 10.16383/j.aas.2015.c140686
LU Zhi-Hong, GUO Dan, WANG Meng. Motion-compensated Frame Interpolation Based on Weighted Motion Estimation and Vector Segmentation. ACTA AUTOMATICA SINICA, 2015, 41(5): 1034-1041. doi: 10.16383/j.aas.2015.c140686
Citation: LU Zhi-Hong, GUO Dan, WANG Meng. Motion-compensated Frame Interpolation Based on Weighted Motion Estimation and Vector Segmentation. ACTA AUTOMATICA SINICA, 2015, 41(5): 1034-1041. doi: 10.16383/j.aas.2015.c140686

基于加权运动估计和矢量分割的运动补偿内插算法

doi: 10.16383/j.aas.2015.c140686
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)资助

详细信息
    作者简介:

    鲁志红 合肥工业大学计算机与信息学院硕士研究生. 主要研究方向为多媒体信息检索, 数字图像分析与处理.E-mail: luzhihong5842@gmail.com

    通讯作者:

    郭丹 合肥工业大学计算机与信息学院副教授. 主要研究方向为人工智能与数据挖掘. E-mail: guodan@hfut.edu.cn

Motion-compensated Frame Interpolation Based on Weighted Motion Estimation and Vector Segmentation

Funds: 

Supported by National Natural Science Foundation of China (61305062), China Postdoctoral Science Foundation (2012M511403), and Natural Science Foundation of Anhui Province (1308085QF102)

  • 摘要: 提出了一种基于加权运动估计、矢量分割和可变块层次化处理的运动补偿内插(Motion-compensated frame interpolation, MCFI)算法. 首先, 提出一种加权运动估计改善了运动矢量(Motion vector, MV)的准确度, 其次, 通过矢量聚类分割将视频帧分割为运动区域和背景, 然后对运动区域的运动矢量进行了可变块层次化处理. 此过程中, 采用可变块合并算法保证了运动物体的边缘结构信息不被损坏. 同时考虑到部分可变块的多方向性, 使用了自适应矢量中值滤波器和矢量平滑降低了运动块大小, 能有效地消除传统方法中出现的方块效应和重影现象. 实验结果表明该算法在内插图像的主观视觉效果和客观评估标准上都有所提高, 而且对于运动较快及背景较复杂的视频序列同样具有较强的适应性.
  • [1] Choi B T, Lee S H, Ko S J. New frame rate up-conversion using bi-directional motion estimation. IEEE Transactions on Consumer Electronics, 2000, 46(3): 603-609
    [2] [2] Choi B D, Han J W, Kim C S, Ko S J. Motion compensated frame interpolation using bilateral motion estimation and adaptive overlapped block motion compensation. IEEE Transactions on Circuits and Systems for Video Technology, 2007, 17(4): 407-416
    [3] [3] Choi B D, Han J W, Kim C S, Ko S J. Frame rate up-conversion using perspective transform. IEEE Transactions on Consumer Electronics, 2006, 52(3): 975-982
    [4] [4] Cao Y Z, He X H, Teng Q Z, Wu W. Motion compensated frame rate up-conversion using soft-decision motion estimation and adaptive-weighted motion compensated interpolation. Journal of Computational Information Systems, 2013, 9: 5789-5797
    [5] [5] Ha T, Lee S, Kim J. Motion compensated frame interpolation by new block-based motion estimation algorithm. IEEE Transactions on Consumer Electronics, 2004, 50(2): 752-759
    [6] Wang Wei, Li Wei. A multiple pattern algorithm for block motion estimation based on variable block-size. Acta Automatica Sinica, 2009, 35(1): 34-38(王伟, 李伟. 基于可变分块尺寸的多模板运动估计算法. 自动化学报, 2009,35(1): 34-38)
    [7] [7] Akin A, Cetin M, Ozcan Z, Erbagci B, Hamzaoglu I. An adaptive bilateral motion estimation algorithm and its hardware architecture. IEEE Transactions on Consumer Electronics, 2012, 58(2): 712-720
    [8] [8] Park D, Jeong J. Motion compensated frame rate up-conversion using modified adaptive extended bilateral motion estimation. Journal of Automation and Control Engineering, 2014, 2(4): 371-375
    [9] [9] Alparone L, Barni M, Bartolini F, Cappellini V. Adaptively weighted vector-median filters for motion-fields smoothing. In: Proceedings of the 1996 International Conference on Acoustics, Speech, and Signal Processing. Atlanta. GA: IEEE, 1996. 2267-2270
    [10] Dane G, Nguyen T Q. Smooth motion vector resampling for standard compatible video post-processing. In: Proceedings of the 38th Asilomar Conference on Signal, Systems and Computers. Pacific Grove, California: IEEE, 2004. 1731-1735
    [11] Wang C, Zhang L, He Y H, Tan Y P. Frame rate up-conversion using trilateral filtering. IEEE Transactions on Circuits and Systems for Video Technology, 2010, 20(6): 886-893
    [12] Zhong Min-Sheng, Ma Zheng-Ming. Motion compensation based on wavelet coefficient. Acta Automatica Sinica, 2004, 30(1): 64-69(钟敏生, 马争鸣. 基于小波系数块的运动补偿. 自动化学报, 2004, 30(1): 64-69)
    [13] Guo D, Ling S, Han J G. Feature-based motion compensated interpolation for frame rate up-conversion. Neurocomputing, 2014, 123: 390-397
    [14] Yu Ming, Qu Xin, Guo Ying-Chun, Zhu Qing-Wen, Yao Min. A delaunay mesh-based motion estimation and compensation scheme based on redundant wavelet transform. Journal of Image and Graphics, 2007, 12(12): 2072-2079(于明, 曲昕, 郭迎春, 朱庆文, 姚旻. 一种基于冗余小波变换的DT网格运动估计和运动补偿方法. 中国图象图形学报, 2007, 12(12): 2072-2079)
    [15] Orchard M T, Sullivan G J. Overlapped block motion compensation: an estimation-theoretic approach. IEEE Transactions on Image Processing, 1994, 3(5): 693-699
    [16] Zhai J F, Yu K, Li J, Li S P. A low complexity motion compensated frame interpolation method. In: Proceedings of the 2005 International Symposium on Circuits and Systems. Kobe, Japan: IEEE, 2005. 4927-4930
    [17] Huang A M, Nguyen T Q. A multistage motion vector processing method for motion-compensated frame interpolation. IEEE Transactions on Image Processing, 2008, 17(5): 694-708
    [18] Wang Z, Bovik A C, Sheikh H R, Simoncelli E P. Image quality assessment: from error visibility to structural similarity. IEEE Transactions on Image Processing, 2004, 13(4): 600-612
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出版历程
  • 收稿日期:  2014-09-15
  • 修回日期:  2014-12-11
  • 刊出日期:  2015-05-20

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