Impulse noise filtering using robust pixel-wise S-estimate of variance

  • Authors:

  • Vladimir Crnojević;Nemanja I. Petrović

  • Affiliations:

  • Department of Electrical Engineering, University of Novi Sad, Novi Sad, Serbia;Department of Electrical Engineering, University of Novi Sad, Novi Sad, Serbia

  • Venue:
  • EURASIP Journal on Advances in Signal Processing - Special issue on robust processing of nonstationary signals
  • Year:
  • 2010

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Abstract

A novel method for impulse noise suppression in images, based on the pixel-wise S-estimator, is introduced. The S-estimator is an alternative for the well-known robust estimate of variance MAD, which does not require a location estimate and hence is more appropriate for asymmetric distributions, frequently encountered in transient regions of the image. The proposed computationally efficient modification of a robust S-estimator of variance is successfully utilized in iterative scheme for impulse noise filtering. Another novelty is that the proposed iterative algorithm has automatic stopping criteria, also based on the pixel-wise S-estimator. Performances of the proposed filter are independent of the image content or noise concentration. The proposed filter outperforms all state-of-the-art filters included in a large comparison, both objectively (in terms of PSNR and MSSIM) and subjectively.