Anisotropic second and fourth order diffusion models based on Convolutional Virtual Electric Field for image denoising

被引:45
作者
Wang, Yuanquan [1 ]
Ren, Wenqi [1 ]
Wang, Huaibin [1 ]
机构
[1] Tianjin Univ Technol, Sch Comp & Commun Engn, Tianjin 300384, Peoples R China
关键词
Convolutional Virtual Electric Field; Anisotropic diffusion; Fourth order diffusion; EDGE-DETECTION; COMMON FRAMEWORK; EXTERNAL FORCE; EQUATION; SPACE;
D O I
10.1016/j.camwa.2013.08.034
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper proposes novel second order and fourth order anisotropic diffusion models for image denoising. These two models are based on CONvolutional Virtual Electric Field (CONVEF). The proposed second order anisotropic diffusion model was introduced by introducing the CONVEF into the Perona-Malik (P-M) equation and the fourth order one is coined by combining CONVEF and the You-Kaveh (Y-K) equation. The employment of the CONVEF model allows to improve the estimation of high order derivatives and makes the proposed methods more robust to noise. In addition, the proposed CONVEF-based Y-K model is an anisotropic diffusion equation which can avoid the over-smoothness of edges and provide better edge protection capability except for better denoising. Some experiments are conducted to demonstrate the efficiency of the proposed methods. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1729 / 1742
页数:14
相关论文
共 58 条
  • [1] IMAGE SELECTIVE SMOOTHING AND EDGE-DETECTION BY NONLINEAR DIFFUSION .2.
    ALVAREZ, L
    LIONS, PL
    MOREL, JM
    [J]. SIAM JOURNAL ON NUMERICAL ANALYSIS, 1992, 29 (03) : 845 - 866
  • [2] [Anonymous], INT J COMPUT VIS
  • [3] [Anonymous], 2003, P VLSM
  • [4] A variational method in image recovery
    Aubert, G
    Vese, L
    [J]. SIAM JOURNAL ON NUMERICAL ANALYSIS, 1997, 34 (05) : 1948 - 1979
  • [5] A common framework for nonlinear diffusion, adaptive smoothing, bilateral filtering and mean shift
    Barash, D
    Comaniciu, D
    [J]. IMAGE AND VISION COMPUTING, 2004, 22 (01) : 73 - 81
  • [6] Robust anisotropic diffusion
    Black, MJ
    Sapiro, G
    Marimont, DH
    Heeger, D
    [J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 1998, 7 (03) : 421 - 432
  • [7] Extensions to total variation denoising
    Blomgren, P
    Chan, TF
    Mulet, P
    [J]. ADVANCED SIGNAL PROCESSING: ALGORITHMS, ARCHITECTURES, AND IMPLEMENTATIONS VII, 1997, 3162 : 367 - 375
  • [8] A non-local algorithm for image denoising
    Buades, A
    Coll, B
    Morel, JM
    [J]. 2005 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 2, PROCEEDINGS, 2005, : 60 - 65
  • [9] Casaca W., 2013, INTR GUIDE IMAGE VID
  • [10] IMAGE SELECTIVE SMOOTHING AND EDGE-DETECTION BY NONLINEAR DIFFUSION
    CATTE, F
    LIONS, PL
    MOREL, JM
    COLL, T
    [J]. SIAM JOURNAL ON NUMERICAL ANALYSIS, 1992, 29 (01) : 182 - 193