Non-local Huber Regularization for Image Denoising - A Hybrid Approach of Two Non-local Regularizations

Suil Son, Deokyoung Kang, Suk I. Yoo

Abstract

Non-local Huber regularization is proposed for image denoising. This method improves the non-local total variation regularization and the non-local H1 regularization approaches. The non-local total variation regularization preserves edges better than the non-local H1 regularization; however, it leaves a little noise. In contrast, the non-local H1 regularization eliminates noise better than the non-local total variation regularization; however, it blurs edges. To take both advantages of the two methods, the proposed method applies the non-local total variation to large non-local intensity differences and applies the non-local H1 regularization to small non-local intensity differences. A boundary value to determine whether the intensity difference comes from edges or noise is also suggested. The experimental results of the proposed method is compared to the result from the non-local total variation regularization and to the result from the non-local H1 regularization; The effect of the boundary value is illustrated as PSNR changes with respect to the various values of the boundary values.

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Paper Citation


in Harvard Style

Son S., Kang D. and I. Yoo S. (2013). Non-local Huber Regularization for Image Denoising - A Hybrid Approach of Two Non-local Regularizations . In Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-8565-41-9, pages 554-559. DOI: 10.5220/0004263705540559


in Bibtex Style

@conference{icpram13,
author={Suil Son and Deokyoung Kang and Suk I. Yoo},
title={Non-local Huber Regularization for Image Denoising - A Hybrid Approach of Two Non-local Regularizations},
booktitle={Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2013},
pages={554-559},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004263705540559},
isbn={978-989-8565-41-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Non-local Huber Regularization for Image Denoising - A Hybrid Approach of Two Non-local Regularizations
SN - 978-989-8565-41-9
AU - Son S.
AU - Kang D.
AU - I. Yoo S.
PY - 2013
SP - 554
EP - 559
DO - 10.5220/0004263705540559