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Impulse Noise Removal Using Adaptive Radial Basis Function Interpolation

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Abstract

A novel adaptive radial basis function interpolation-based impulse noise removal algorithm is introduced in this manuscript. This approach consists of two stages: noisy pixel detection and correction. In former step, the noise-affected pixels in an image are detected, and in the latter step, the noisy pixels are restored by adaptive radial basis function-based interpolation scheme. The radial basis function interpolation scheme is used to estimate the unknown noisy pixel value from the noise-free known neighboring pixel values. For both noisy pixel detection and correction, a center sliding window is considered at each pixel location. The proposed approach is experimented on some benchmark data sets, and its performance is evaluated using five performance evaluation measures: PSNR, MSSIM, IEF, correlation factor, and NSER on different test images by comparing it against sixteen different state-of-the-art techniques. It is found that the proposed approach gives better results than the sixteen different state-of-the-art techniques.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, National Institute of Technology, Farmagudi, Ponda, Goa, India

    T. Veerakumar & Badri Narayan Subudhi

  2. Department of Humanities and Sciences, National Institute of Technology, Farmagudi, Ponda, Goa, India

    Ravi Prasad K. Jagannath

  3. Department of Instrumentation and Control Systems Engineering, PSG College of Technology, Coimbatore, India

    S. Esakkirajan

Authors
  1. T. Veerakumar
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  2. Ravi Prasad K. Jagannath
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  3. Badri Narayan Subudhi
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  4. S. Esakkirajan
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Correspondence to T. Veerakumar.

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Veerakumar, T., Jagannath, R.P.K., Subudhi, B.N. et al. Impulse Noise Removal Using Adaptive Radial Basis Function Interpolation. Circuits Syst Signal Process 36, 1192–1223 (2017). https://doi.org/10.1007/s00034-016-0352-1

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  • DOI: https://doi.org/10.1007/s00034-016-0352-1

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