PDE-Based Random-Valued Impulse Noise Removal Based on New Class of Controlling Functions

@article{Wu2011PDEBasedRI,
  title={PDE-Based Random-Valued Impulse Noise Removal Based on New Class of Controlling Functions},
  author={Jian Wu and Chen Tang},
  journal={IEEE Transactions on Image Processing},
  year={2011},
  volume={20},
  pages={2428-2438}
}
This paper is concerned with partial differential equation (PDE)-based image denoising for random-valued impulse noise. We introduce the notion of ENI (the abbreviation for “edge pixels, noisy pixels, and interior pixels”) that denotes the number of homogeneous pixels in a local neighborhood and is significantly different for edge pixels, noisy pixels, and interior pixels. We redefine the controlling speed function and the controlling fidelity function to depend on ENI. According to our two… CONTINUE READING
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Tri-state median-based filters in image denoising

  • T. Chen, K.-K. Ma, L.-H. Chen
  • IEEE Trans. Image Process., vol. 8, no. 12, pp…
  • 1834
Highly Influential
12 Excerpts

An efficient algorithm for the removal of impulse noise from corrupted images

  • W. Luo
  • Int. J. Electron. Commun., vol. 61, no. 8, pp…
  • 2007
2 Excerpts

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