Image Denoising Algorithm Based on Non-Subsampled Contourlet Transform and Bilateral Filtering

DOI

10.2991/cisia-15.2015.182How to use a DOI?

Keywords

image de-noising; NSCT; bayes threshold; bilateral filtering

Abstract

In order to remove the image noise more effectively?an image denoising algorithm based on Nonsubsampled Contourlet Transform (NSCT) and bilateral filtering in the spatial domain is proposed. The noisy image is first decomposed into multi-scale and multi-directional subbands by NSCT, and direction subbands of each high-pass component is processed by the new threshold function which is obtained by the Bayes threshold that based on stratified noise estimation.. During the reconstruction, the low-pass subband constructed image is further denoisied by the bilateral filtering in the spatial domain. Experimental results demonstrate that the proposed method can improve de-noising performance.

Copyright

© 2015, 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  - C.J Li
AU  - H.X Yang
AU  - Y.Y Cai
AU  - B. Song
PY  - 2015/06
DA  - 2015/06
TI  - Image Denoising Algorithm Based on Non-Subsampled Contourlet Transform and Bilateral Filtering
BT  - Proceedings of the International Conference on Computer Information Systems and Industrial Applications
PB  - Atlantis Press
SP  - 666
EP  - 669
SN  - 2352-538X
UR  - https://doi.org/10.2991/cisia-15.2015.182
DO  - 10.2991/cisia-15.2015.182
ID  - Li2015/06
ER  -