loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Qiyu Jin ; Ion Grama and Quansheng Liu

Affiliation: Université de Bretagne-Sud and Université Européenne de Bretagne, France

ISBN: 978-989-8565-03-7

Keyword(s): Non-local Means, Image Denoising, Optimization of Weights, Oracle, Statistical Estimation.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image Enhancement and Restoration ; Image Formation and Preprocessing

Abstract: We propose a new algorithm to restore an image contaminated by the Gaussian white noise. Our approach is based on the weighted average of the observations in a neighborhood as in the case of the Non-Local Means Filter. But in contrast to the Non-Local Means Filter, we choose the weights by minimizing a tight upper bound of the Mean Square Error. Our theoretical results show that some ”oracle” weights defined by a triangular kernel are optimal. To construct a computable filter the ”oracle” weights are replaced by some estimates. The implementation of the proposed algorithm is straightforward. The simulations show that our approach is very competitive.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.237.76.91

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Jin, Q.; Grama, I. and Liu, Q. (2012). A NEW APPROACH FOR DENOISING IMAGES BASED ON WEIGHTS OPTIMIZATION.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, pages 112-117. DOI: 10.5220/0003846001120117

@conference{visapp12,
author={Qiyu Jin. and Ion Grama. and Quansheng Liu.},
title={A NEW APPROACH FOR DENOISING IMAGES BASED ON WEIGHTS OPTIMIZATION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={112-117},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003846001120117},
isbn={978-989-8565-03-7},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)
TI - A NEW APPROACH FOR DENOISING IMAGES BASED ON WEIGHTS OPTIMIZATION
SN - 978-989-8565-03-7
AU - Jin, Q.
AU - Grama, I.
AU - Liu, Q.
PY - 2012
SP - 112
EP - 117
DO - 10.5220/0003846001120117

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.