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Variational Approach for Restoring Random-Valued Impulse Noise

  • Chen Hu
  • S. H. Lui
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3401)

Abstract

We present a modified iterative method for removing random-valued impulse noise. This method has two phases. The first phase uses an adaptive center-weighted median filter to identify those pixels which are likely to be corrupted by noise (noise candidates). In the second phase, these noise candidates are restored using a detail-preserving regularization method which allows edges and noise-free pixels to be preserved. This phase is equivalent to solving a one-dimensional nonlinear equation for each noise candidate. We describe a simple secant-like method to solve these equations. It converges faster than Newton’s method, requiring fewer function and derivative evaluations.

Keywords

IEEE Transaction Noisy Image Impulse Noise Derivative Evaluation Impulse Noise Removal 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Chen Hu
    • 1
  • S. H. Lui
    • 2
  1. 1.Department of MathematicsThe Chinese University of Hong KongShatin, NT, Hong Kong
  2. 2.Department of MathematicsUniversity of ManitobaWinnipegCanada

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