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Authors: D. N. H. Thanh and S. D. Dvoenko

Affiliation: Tula State University and Lenin Ave. 92, Russian Federation

Keyword(s): Total variation, ROF model, Gaussian noise, Poisson noise, Mixed Poisson-Gaussian noise, Image processing, Euler-Lagrange equation.

Abstract: In this paper, we propose a method to remove noise in digital images. Our method is based on the wellknown variational approach. The novelty of proposed method consists in removing of mixed Poisson- Gaussian noise. This is the actual problem for many types of real raster images, for example, biomedical images. Our method is developed with the goal to combine two famous models: ROF for removing Gaussian noise and modified ROF for removing Poisson noise. As a result, our proposed method can be also applied to remove Gaussian or Poisson noise separately. We develop procedure to perform noise removal with automatically evaluated parameters to get the best result of denoising.

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Paper citation in several formats:
Thanh, D. and Dvoenko, S. (2015). A Variational Method to Remove the Combination of Poisson and Gaussian Noises. In Proceedings of the 5th International Workshop on Image Mining. Theory and Applications (VISIGRAPP 2015) - IMTA-5; ISBN 978-989-758-094-9, SciTePress, pages 38-45. DOI: 10.5220/0005460900380045

@conference{imta-515,
author={D. N. H. Thanh. and S. D. Dvoenko.},
title={A Variational Method to Remove the Combination of Poisson and Gaussian Noises},
booktitle={Proceedings of the 5th International Workshop on Image Mining. Theory and Applications (VISIGRAPP 2015) - IMTA-5},
year={2015},
pages={38-45},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005460900380045},
isbn={978-989-758-094-9},
}

TY - CONF

JO - Proceedings of the 5th International Workshop on Image Mining. Theory and Applications (VISIGRAPP 2015) - IMTA-5
TI - A Variational Method to Remove the Combination of Poisson and Gaussian Noises
SN - 978-989-758-094-9
AU - Thanh, D.
AU - Dvoenko, S.
PY - 2015
SP - 38
EP - 45
DO - 10.5220/0005460900380045
PB - SciTePress

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