Proceedings of the International Conference on Computer, Networks and Communication Engineering (ICCNCE 2013)

<Previous Article In Volume
Next Article In Volume>

Study of Wavelet Thresholding Image De-noising Algorithm Based on Improvement Thresholding Function

Authors
Qing Zhu, Expression Cui
Corresponding Author
Qing Zhu
Available Online July 2013.
DOI
10.2991/iccnce.2013.170How to use a DOI?
Keywords
wavelet thresholding de-noising, thresholding function, thresholding selection, decomposition level, wavelet basis.
Abstract

In order to enhance the de-noising performance of wavelet thresholding de-noising algorithm and increase the degree of similarity between the original signal and de-noising signal, this paper proposes a new thresholding function with adjustment factors based on wavelet thresholding de-noising theory introduced by D. L. Donoho and I. M. Johnstone. First continuity and higher derivative of thresholding function can be obtained by setting adjustment factors, second the difference between the value of the original signal and the one quantized is unlimitedly decreased, finally, according to the noisy signal features and the distributional difference of noise energy, the effective thresholding function can be obtained with different adjustment factors. Objective assessment parameters of de-noising image quality are calculated from the experiment of Matlab simulation, which suggests that the impact of de-noising algorithm with the new thresholding function is better than the traditional soft and hard thresholding de-noising algorithms, furthermore, which lays a good foundation on image enhancement, feature extraction and edge detection.

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/).

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the International Conference on Computer, Networks and Communication Engineering (ICCNCE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
July 2013
ISBN
10.2991/iccnce.2013.170
ISSN
1951-6851
DOI
10.2991/iccnce.2013.170How to use a DOI?
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/).

Cite this article

risenwbib
TY  - CONF
AU  - Qing Zhu
AU  - Expression Cui
PY  - 2013/07
DA  - 2013/07
TI  - Study of Wavelet Thresholding Image De-noising Algorithm Based on Improvement Thresholding Function
BT  - Proceedings of the International Conference on Computer, Networks and Communication Engineering (ICCNCE 2013)
PB  - Atlantis Press
SP  - 687
EP  - 691
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccnce.2013.170
DO  - 10.2991/iccnce.2013.170
ID  - Zhu2013/07
ER  -