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基于加权最小二乘滤波的视频序列超分辨率重建 被引量：3

Super-resolution Reconstruction of Video Sequence Based on WLS Filtering
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摘要 该文构建了一种视频序列超分辨率重建框架,在此框架下,首先讨论基于正则化处理的单帧图像上行插值和反卷积,然后在详细研究运动补偿矩阵和权值矩阵的构成及其性质的基础上,提出基于加权最小二乘滤波的帧间数据融合算法。实验表明该算法的重建结果相当有效,具有一定的自适应性和鲁棒性。 A framework of reconstructing a super-resolution video sequence from a low resolution video sequence is proposed in this paper. First, an upsampling and deconvolution algorithm for single frame is introduced based on regularization by means of CG algorithm. Then after thoroughly studied the motion compensation matrix and weighted matrix, an adaptive filter is designed for the purpose of interframe data fusion based on weighted least square. Experimental results demonstrate the power of the proposed method with some adaptive and robust.
作者 韩玉兵 束锋 吴乐南
机构地区 南京理工大学电子工程与光电技术学院 东南大学无线电工程系
出处 《电子与信息学报》 EI CSCD 北大核心 2009年第1期120-123,共4页 Journal of Electronics & Information Technology
基金 江苏省图像处理与图像通信重点实验室开放研究课题(ZK206006)资助
关键词 视频处理 超分辨率重建 运动补偿 TIKHONOV正则化 加权最小二乘 共扼梯度算法 Video processing Super-resolution reconstruction Motion compensation Tikhonov regularization Weighted Last Square（WLS） Conjugate Gradient（CG）
分类号 TP391 [自动化与计算机技术—计算机应用技术]
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参考文献8

  • 1Park S C, Park M K, and Kang M G. Super-resolution image reconstruction: A technical overview [J]. IEEE Signal Processing Magazine, 2003, 20(3): 21-36.
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同被引文献36

  • 1Jia H B. Surface Defect Detection,Classification and Root Cause Diagnosis in Steel Hot Rolling Process [D]. Michigan: University of Michigan,2005.
  • 2Pietro P,Jitendra M. Scale-space and Edge Detec tion Using Anisotropic Diffusion[J]. IEEE Transac tions on Pattern Analysis and Machine Intelligence 1990,12(7) : 629-639.
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  • 4Shin Min Chao,Du Ming Tsai. An Anisotropic Dif fusion--based Defect Detection for Low-contrast Glass Substrates[J]. Image and Vision Computing, 2008,26 (2) :187-200.
  • 5Yi D, Lee S. Fourth Order Partial Differential Equations for Image Enhancement[J]. Applied Mathe matics and Computation, 2006,175 ( 1 ) : 430-440.
  • 6Vandewalle P,Susstrunk S,Vetterli M.A frequency domain approach to registration of aliased images with application to super-reselution[J].EURASIP Journal on Applied Signal Processing:Special Issue on Super-Reso-lution,2006,2006:1-14.
  • 7Patanavijit V.Super-resolution reconstruction and its future research direction[J].Assumption University Journal of Technology,2009,12 (3):149-163.
  • 8Vandewalle P.Super-resolution from unregistered aliased images[D].Lausanne:School of Computer and Communication Scienees,Ecole Polytechnique Federale de Lausanne,2006.
  • 9Keren D,Peleg S,Brada R.Image sequence enhancement using sub-pixel displacement[C] //Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Ann Arbor:IEEE,1988:742-746.
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电子与信息学报
2009年 第1期

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