Image denoising algorithm via spatially adaptive bilateral filtering

DOI

10.2991/icsem.2013.82How to use a DOI?

Keywords

Image denoising, Bilateral filtering, Spatially Adaptive, Local statistics characteristic

Abstract

The classical bilateral filtering algorithm is a non-linear and non-iterative image denoising method in spatial domain which utilizes the spatial information and the intensity information between a point and its neighbors to smooth the noisy images while preserving edges well. To further improve the image denoising performance, a spatially adaptive bilateral filtering image deonoising algorithm with low computational complexity is proposed. The proposed algorithm takes advantage of the local statistics characteristic of the image signal to better preserve the edges or textures while suppressing the noise. Experiment results show that the proposed image denoising algorithm achieves better performance than the classical bilateral filtering image denoising method.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Min Qi
AU  - Zuofeng Zhou
AU  - Jing Liu
AU  - Jianzhong Cao
PY  - 2013/04
DA  - 2013/04
TI  - Image denoising algorithm via spatially adaptive bilateral filtering
BT  - Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)
PB  - Atlantis Press
SP  - 431
EP  - 434
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.82
DO  - 10.2991/icsem.2013.82
ID  - Qi2013/04
ER  -