期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

NLTV:非局部数字全变差滤波算法 被引量：2

NLTV:a non-local digital TV filtering algorithm
原文传递
导出
摘要 在图像平滑处理过程中,如何设计保持图像边缘和纹理细节的数字图像去噪滤波器一直是人们关注的热点问题。本文在统一描述数字全变差滤波算法(DTV)和数字双边全变差算法(DBTV)的滤波机制的基础上,利用图像像素间的近-远程相关性,分别定义近程相关性和远程相关性两个度量,建立了一种非局部图像滤波自适应双边加权机制,提出一种同时适合高斯噪声和脉冲噪声的非局部数字全变差滤波算法(NLTV)。实验验证了新算法在抑制噪声的同时具有较好的边缘细节和纹理保持性能。 How to design digital image denosing filters with good ability of preserving edge and texture information is an international and popular issue in image processing. The unified filtering mechanism of digital TV filter （DTV） and digital bilateral TV filter （DBTV） is described firstly, and then a novel non-local adaptive bilateral filtering mechanism is established. The definition of pixel＇ s short dependence and long dependence measures are given, and a new non-local digital TV filter （NLTV） is proposed which can deal with Gaussian noise and impulse noise respectively. Experiments show that our proposed algorithm has quite good ability of noise suppressing as well as edge and texture preserving.
作者 肖亮 韦志辉 吴慧中
机构地区 南京理工大学计算机科学与技术学院 南京理工大学应用数学系
出处 《中国图象图形学报》 CSCD 北大核心 2010年第9期1318-1325,共8页 Journal of Image and Graphics
基金 国家高技术研究发展计划(863)项目(2007AA12E100) 国家自然科学基金项目(60802039 60672074) 国家教育部博士点基金项目(20070288050)
关键词 图像去噪 近程相关 远程相关 非局部滤波 全变差 image de-noising short distance dependence long distance dependence non local filter total variation
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献10

  • 1Buades A,Coll B,Morel J M.A review of image denoising algorithms with a new one[J].Multiscale Modeling and Simulation,2005,4(2):490-530.
  • 2Rudin L,Osher S,Fatemi E.Nonlinear total variation based noise removal algorithms[J].Physica D,1992,60(1):259-268.
  • 3Kim S.PDE-based image restoration:A hybrid model and color image denoising[J].IEEE Transactions on Image Processing,2006,15(5):1163-1170.
  • 4Chan T F.The digital TV filter and nonlinear denoising[J].IEEE Transactions on Image Processing,2001,10(2):231-241.
  • 5Elad M.On the bilateral filter and ways to improve it[J].IEEE Transactions on Image Processing,2002,11(10):1141-1151.
  • 6邵文泽,韦志辉.数字双边全变差滤波及非线性去噪[J].中国图象图形学报,2007,12(7):1178-1184. 被引量：5
  • 7邵文泽,韦志辉.一种非线性数字滤波器的统一设计框架及其性能分析[J].计算机学报,2007,30(1):91-102. 被引量：10
  • 8Buades A,Coll B,Morel J M.Image denoising by non-local averaging[C]//Proceedings of IEEE International Conference on Acoustics,Speech,and Signal Processing,Philadelphia,PA,USA:IEEE,2005,2:1125-1128.
  • 9Buades A,Coll B,Morel J M.Neighborhood filters and PDE's[J].Numerische Mathematik,2006,105(10):1-34.
  • 10Chen Ke.Adaptive smoothing via contextual and local discontinuity[J].IEEE Transactions on Pattern Analysis and Intelligence,2005,27(10):1552-1567.

二级参考文献35

  • 1Rudin L,Osher S,Fatemi E.Nonlinear total variation based noise removal algorithms.Physica D,1992,60(1-4):259-268
  • 2Perona P,Malik J.Scale-space and edge detection using anisotropic diffusion.IEEE Transactions on PAMI,1990,12(7):629-639
  • 3Black M J,Sapiro G,David H M,David H.Robust anisotropic diffusion.IEEE Transactions on Image Processing,1998,7(3):421-432
  • 4Tomasi C,Manduchi R.Bilateral filtering for gray and color images//Proceedings of the 6th International Conference Computer Vision.New Delhi,India,1998:839-846
  • 5Chan T F.The digital TV filter and nonlinear denoising.IEEE Transactions on Image Processing,2001,10(2):231-241
  • 6Barash D.Bilateral filtering and anisotropic diffusion:Towards a unified viewpoint.Hewlett-Packard Laboratories Technical Report..HPL-2000-18(R.1),2000
  • 7Elad M.On the bilateral filter and ways to improve it.IEEE Transactions on Image Processing.2002,11(10):1141-1151
  • 8Black M,Rangarajan A.On the unification of line processes,outlier rejection,and robust statistics with applications in early vision.International Journal of Computer Vision,1996,19(1):57-92
  • 9Charbonnier P,Laure B F et al.Deterministic edge-preserving regularization in computed imaging.IEEE Transactions on Image Processing,1997,6(2):298-311
  • 10Geman S,Geman D.Stochastic relaxation,Gibbs distributions and the Bayesian restoration of images.IEEE Transactions on Pattern Analysis Machine Intelligence,1984,6(6):721-741

共引文献13

同被引文献34

  • 1费佩燕,郭宝龙.基于多小波的图像去噪技术研究[J].中国图象图形学报（A辑）,2005,10(1):107-112. 被引量：17
  • 2Tuia D, Camps V G. Recent advances in remote sensing image processing[ C ]//Proceedings of International Conference on Image Processing. Cairo, Egypt : IEEE ,2009,3705 -3708.
  • 3Liu Z J, Zhang Z, Xia D S. MTF compensation combining reciprocal cell with shift invariance wavelet [ J ]. Applied Mechanics and Materials, 2011,48-49 : 719-723.
  • 4Antonin C, Pierre L L. Image recovery via total variational minimization and related problems [ J]. Numer. Math., 1997, 76 (2): 167-188.
  • 5Stanley O, Martin B, Donald G, et al. An iterative regularization method for total variation-based image restoration[ J]. Multiscale Modeling & Simulation, 2006, 4(2) : 460-489.
  • 6Tom G, Stanley O. The split Bregman method for L1 regularized problems[ J]. SIAM Journal on Imaging Sciences, 2009, 2 (2) : 323-343.
  • 7Zhang X Q, Martin B, Xavier B, et al. Bregmanized nonlocal regularization for deconvolution and sparse reconstruction[J]. SIAM Journal on Imaging Sciences, 2010, 3 (3) :253-276.
  • 8Thomas S. Computationally attractive reconstruction of bandlimited images from irregular samples [ J ]. IEEE Transactions on Image Processing, 1997, 6(4) : 540-548.
  • 9Andres A, Vicent C, Gloria H, et al. Restoration and zoom of irregularly sampled, blurred and noisy images by accurate total variation minimization with local constraints[]]. Multiscale Modeling & Simulation, 2006, 5 ( 1 ) : 235-272.
  • 10Huang Y M, Michael K N, Wen Y W. A fast total variation minimization method for image restoration [ J ]. Multiscale Modeling & Simulation, 2008, 7(2) :774-795.

引证文献2

二级引证文献3

中国图象图形学报
2010年 第9期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部