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Authors: Afonso Teodoro 1 ; Mariana Almeida 2 and Mario Figueiredo 1

Affiliations: 1 Universidade de Lisboa and Instituto de Telecomunicações, Portugal ; 2 Priberam Labs and Instituto de Telecomunicações, Portugal

ISBN: 978-989-758-077-2

Keyword(s): Image Denoising, Image Inpainting, Gaussian Mixtures, Patch-based Methods, Expectation-maximization.

Related Ontology Subjects/Areas/Topics: Applications ; Cardiovascular Imaging and Cardiography ; Cardiovascular Technologies ; Density Estimation ; Health Engineering and Technology Applications ; Missing Data ; Pattern Recognition ; Signal Processing ; Software Engineering ; Theory and Methods

Abstract: This paper proposes a patch-based method to address two of the core problems in image processing: denoising and inpainting. The approach is based on a Gaussian mixture model estimated exclusively from the observed image via the expectation-maximization algorithm, based on which the minimum mean squared error estimate is computed in closed form. The results show that this simple method is able to perform on the same level as other state-of-the-art algorithms.

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Paper citation in several formats:
Teodoro, A.; Almeida, M. and Figueiredo, M. (2015). Single-frame Image Denoising and Inpainting Using Gaussian Mixtures.In Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM, ISBN 978-989-758-077-2, pages 283-288. DOI: 10.5220/0005256502830288

@conference{icpram15,
author={Afonso Teodoro. and Mariana Almeida. and Mario Figueiredo.},
title={Single-frame Image Denoising and Inpainting Using Gaussian Mixtures},
booktitle={Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,},
year={2015},
pages={283-288},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005256502830288},
isbn={978-989-758-077-2},
}

TY - CONF

JO - Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,
TI - Single-frame Image Denoising and Inpainting Using Gaussian Mixtures
SN - 978-989-758-077-2
AU - Teodoro, A.
AU - Almeida, M.
AU - Figueiredo, M.
PY - 2015
SP - 283
EP - 288
DO - 10.5220/0005256502830288

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