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基于三维泊松方程的数字视频修复 被引量：1

Digital Video Inpainting Based on Three-dimensional Poisson Equation
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摘要 提出了一种基于三维泊松方程的数字视频修复算法.首先提取视频帧的梯度场,然后使用基于块的修复方法对梯度进行信息填充,最后在梯度场中建立视频受损区域的三维泊松方程并求解,实现对视频像素的修复.实验结果表明,基于三维泊松方程的视频修复方法具有良好的时空连续性,能保证视频画面色调、明暗的一致性,使修复痕迹更平滑,画面更自然. A new video inpainting method based on three-dimensional Poisson equation was presented.The gradient fields of video frame were extracted first.Then,the target areas of every gradient fields were filled in the patch-by-patch inpainting methods.Afterwards,to repair the video,a three-dimensional Poisson equation was built and solved in the gradient field of the target area.Experiment results have shown that the proposed method can achieve the desired results and perform better than the existing methods in color,light and shade consistency.
作者 赵明 李树涛 彭莉
机构地区 湖南大学电气与信息工程学院
出处 《湖南大学学报（自然科学版）》 EI CAS CSCD 北大核心 2011年第3期51-55,共5页 Journal of Hunan University:Natural Sciences
基金 国家自然科学基金资助项目(60871096 60835004) 教育部博士点基金资助项目(200805320006) 教育部科学技术研究重点项目(2009-120) 模式识别国家重点实验室开放课题基金资助项目
关键词 图像修复 视频修复 泊松方程 梯度场 image inpainting video inpainting Poisson equation gradient fields
分类号 TU323 [建筑科学—结构工程]
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参考文献14

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同被引文献13

  • 1Mosleh A, Bouguila N, Ben Hamza A. Video completion using Bandelet transform[J] . IEEE Trans on Multimedia, 2012, 14(6):1591-1601.
  • 2Roxas M, Shiratori T, Ikeuchi K. Video completion via spatio-temporally consistent motion inpainting[J] . IPSJ Trans on Computer Vision and Applications, 2014, 6:98-102.
  • 3Ebdelli M, Guillemot C, Le Meur O. Examplar-based video inpainting with motion-compensated neighbor embedding[C] //Proc of the 19th IEEE International Conference on Image Processing. [S. l.] :IEEE Press, 2012:1737-1740.
  • 4Ghorai M, Purkait P, Chanda B. A fast video inpainting technique[M] //Pattern Recognition and Machine Intelligence. Berlin:Springer, 2013:430-436.
  • 5Li Xin, Zheng Yunfei. Patch-based video processing:a variational Bayesian approach[J] . IEEE Trans on Circuits and Systems for Video Technology, 2009, 19(1):27-40.
  • 6Tang N, Hsu C T, Su C W, et al. Video inpainting on digitized vintage films via maintaining spatiotemporal continuity[J] . IEEE Trans on Multimedia, 2011, 13(4):602-614.
  • 7Lu Huimin, Li Yujie, Zhang Lifeng, et al. A new method for CT/MR image fusion based on bandelets transform[M] //Future Communication, Computing, Control and Management. Berlin:Springer, 2012:587-592.
  • 8Mosleh A, Bouguila N, Hamza A B. Bandelet-based sparsity regularization in video inpainting[J] . Journal of Visual Communication and Image Representation, 2014, 25(5):855-863.
  • 9Wang Miaohui, Yan Bo, Ngi N K. An efficient framework for image/video inpainting[J] . Signal Processing:Image Communication, 2013, 28(7):753-762.
  • 10Bhatewara N, Kumar P, Agrawal A. Intelligent video inpainting system for texture reconstruction[C] //Proc ofthe 4th International Conference on Computer and Communication Technology. [S. l.] :IEEE Press, 2013:60-65.

引证文献1

二级引证文献1

湖南大学学报（自然科学版）
2011年 第3期

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