Modified total variation regularization using fuzzy complement for image denoising

Ahmed Ben Said, Sebti Foufou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose a denoising algorithm based on the Total Variation (TV) model. Specifically, we associate to the regularization term of the Rodin-Osher-Fatimi (ROF) functional a small weight whenever denoising is performed in edge and texture regions, which means less regularization and more details preservation. On the other hand, a large weight is associated if the region being filtered is smooth which means noise will be well suppressed. The weight computation is inspired from the fuzzy edge complement. Experiments on well-known images and comparison with state of the art denoising algorithms demonstrate that the proposed method not only presents good denoising performance but also is able to preserve edge information.

Original languageEnglish (US)
Title of host publication2015 International Conference on Image and Vision Computing New Zealand, IVCNZ 2015
PublisherIEEE Computer Society
Volume2016-November
ISBN (Electronic)9781509003570
DOIs
StatePublished - Nov 28 2016
Event2015 International Conference on Image and Vision Computing New Zealand, IVCNZ 2015 - Auckland, New Zealand
Duration: Nov 23 2015Nov 24 2015

Other

Other2015 International Conference on Image and Vision Computing New Zealand, IVCNZ 2015
CountryNew Zealand
CityAuckland
Period11/23/1511/24/15

Fingerprint

Image denoising
Textures
Experiments

Keywords

  • denoising
  • edge detector
  • fuzzy complement
  • total variation

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Cite this

Said, A. B., & Foufou, S. (2016). Modified total variation regularization using fuzzy complement for image denoising. In 2015 International Conference on Image and Vision Computing New Zealand, IVCNZ 2015 (Vol. 2016-November). [7761561] IEEE Computer Society. https://doi.org/10.1109/IVCNZ.2015.7761561

Modified total variation regularization using fuzzy complement for image denoising. / Said, Ahmed Ben; Foufou, Sebti.

2015 International Conference on Image and Vision Computing New Zealand, IVCNZ 2015. Vol. 2016-November IEEE Computer Society, 2016. 7761561.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Said, AB & Foufou, S 2016, Modified total variation regularization using fuzzy complement for image denoising. in 2015 International Conference on Image and Vision Computing New Zealand, IVCNZ 2015. vol. 2016-November, 7761561, IEEE Computer Society, 2015 International Conference on Image and Vision Computing New Zealand, IVCNZ 2015, Auckland, New Zealand, 11/23/15. https://doi.org/10.1109/IVCNZ.2015.7761561
Said AB, Foufou S. Modified total variation regularization using fuzzy complement for image denoising. In 2015 International Conference on Image and Vision Computing New Zealand, IVCNZ 2015. Vol. 2016-November. IEEE Computer Society. 2016. 7761561 https://doi.org/10.1109/IVCNZ.2015.7761561
Said, Ahmed Ben ; Foufou, Sebti. / Modified total variation regularization using fuzzy complement for image denoising. 2015 International Conference on Image and Vision Computing New Zealand, IVCNZ 2015. Vol. 2016-November IEEE Computer Society, 2016.
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