A novel energy functional minimization model for speckle noise removal
CSTR:
Author:
Affiliation:

Shenzhen Key Laboratory of Advanced Machine Learning and Applications, College of Mathematics and Statistics, Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen 518060, China

  • Article
  • | |
  • Metrics
  • |
  • Reference [16]
  • |
  • Related [20]
  • | | |
  • Comments
    Abstract:

    In this paper, a novel energy functional minimization model is proposed for ultrasound images denoising. A controllable regularized term and the variational method are employed in the process of speckle noise. This model not only improves the plasticity of the model, but also improves the effect and efficiency of noise removal. The new model has different diffusion performance in different regions. At the same time, the diffusion performance is related to the parameters introduced by the proposed model. Numerical simulation results show that different parameters have different denoising effects, and the proposed model for speckle noise removal is superior to traditional models.

    Reference
    [1] Loupas T, Mcdicken W and Allan P.L, IEEE Trans. Circ. Syst. 36, 129 (1989).
    [2] Jin J, Liu Y, Wang Q and Yi S, IEEE Instrumentation and Measurement Technology Conference, 255 (2012).
    [3] Chan T and Shen J, SIAM Journal on Applied Mathematics 62, 1019 (2001).
    [4] Chan T, Kang S and Shen J, SIAM Journal on Applied Mathematics 63, 564 (2002).
    [5] Yu Y and Acton S, IEEE Transactions on Image Processing 11, 1260 (2002).
    [6] Krissian K, Westin C, Kikinis R and Vosburgh K, IEEE Transactions on Image Processing 16, 1412 (2007).
    [7] Shi M, Han T and Liu S, Signal Processing 126, 65 (2016).
    [8] Jin Z and Yang X, Journal of Mathematical Imaging and Vision 39, 62 (2011).
    [9] Rudin L, Osher S and Fatemi E, Physica D Nonlinear Phenomena 60, 259 (1992).
    [10] Kang M, Kang M and Jung M, Journal of Scientific Computing 72, 172 (2017).
    [11] Zhang H, Tang L, Fang Z, Xiang C and Li C, Signal Processing 143, 69 (2018).
    [12] Mei J, Huang T, Wang S and Zhao X, Journal of the Franklin Institute 355, 574 (2018).
    [13] Krissian K, Kikinis R, Westin C and Vosburgh, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 547 (2005).
    [14] Costanzino N, http://www. lems. brown. edu/nc, 2002.
    [15] Fehrenbach J and Mirebeau J, Journal of Mathematical Imaging and Vision 49, 123 (2014).
    [16] Hacini M, Hachouf F and Djemal K, Signal Processing 103, 214 (2014).
    Cited by
    Comments
    Comments
    分享到微博
    Submit
Get Citation

CHEN Bo, ZOU Jin-bin, CHEN Wen-sheng, ZHANG Meng-yun. A novel energy functional minimization model for speckle noise removal[J]. Optoelectronics Letters,2019,15(5):386-390

Copy
Share
Article Metrics
  • Abstract:967
  • PDF: 0
  • HTML: 0
  • Cited by: 0
History
  • Received:December 25,2018
  • Revised:February 25,2019
  • Online: May 01,2020
Article QR Code