[ASD+12] A Parallel Edge Preserving Algorithm for Salt and Pepper Image Denoising

Formal Methods in Computing
(Most of the papers antecedent to 1995
are not included in the list)

denoiser:ff:ipta:12 (In proceedings)
Author(s)	Marco Aldinucci, Concetto Spampinato, Maurizio Drocco, Massimo Torquati and Simone Palazzo
Title	« A Parallel Edge Preserving Algorithm for Salt and Pepper Image Denoising »
In	Proc of 2nd Intl. Conference on Image Processing Theory Tools and Applications (IPTA)
Editor(s)	K. Djemal, M. Deriche, W. Puech and Osman N. Ucan
Page(s)	97-102
Year	2012
Publisher	IEEE
Address	Istambul, Turkey
ISBN number	978-1-4673-2582-0
URL	http://calvados.di.unipi.it/storage/paper_files/2012_2phasedenoiser_ff_ipta.pdf

Abstract & Keywords

In this paper a two-phase filter for removing ``salt and pepper'' noise is proposed. In the first phase, an adaptive median filter is used to identify the set of the noisy pixels; in the second phase, these pixels are restored according to a regularization method, which contains a data-fidelity term reflecting the impulse noise characteristics. The algorithm, which exhibits good performance both in denoising and in restoration, can be easily and effectively parallelized to exploit the full power of multi-core CPUs and GPGPUs; the proposed implementation based on the FastFlow library achieves both close-to-ideal speedup and very good wall-clock execution figures.

Keywords: fastflow

BibTeX code

@inproceedings{denoiser:ff:ipta:12,
  month = oct,
  author = {Marco Aldinucci and Concetto Spampinato and Maurizio Drocco and
            Massimo Torquati and Simone Palazzo},
  keywords = {fastflow},
  booktitle = {Proc of 2nd Intl. Conference on Image Processing Theory Tools and
               Applications (IPTA)},
  editor = {K. Djemal and M. Deriche and W. Puech and Osman N. Ucan},
  url = {http://calvados.di.unipi.it/storage/paper_files/2012_2phasedenoiser_ff_ipta.pdf},
  address = {Istambul, Turkey},
  abstract = {In this paper a two-phase filter for removing ``salt and pepper''
              noise is proposed. In the first phase, an adaptive median filter
              is used to identify the set of the noisy pixels; in the second
              phase, these pixels are restored according to a regularization
              method, which contains a data-fidelity term reflecting the impulse
              noise characteristics. The algorithm, which exhibits good
              performance both in denoising and in restoration, can be easily
              and effectively parallelized to exploit the full power of
              multi-core CPUs and GPGPUs; the proposed implementation based on
              the FastFlow library achieves both close-to-ideal speedup and very
              good wall-clock execution figures.},
  title = {A Parallel Edge Preserving Algorithm for Salt and Pepper Image
           Denoising},
  isbn = {978-1-4673-2582-0},
  publisher = {IEEE},
  year = {2012},
  pages = {97-102},
}

Chronological Overview

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Formal Methods in Computing
(Most of the papers antecedent to 1995
are not included in the list)

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