Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

Wavelet Image Denoising Based on The New Threshold Function

Authors
Hui Tang, Zengli Liu, Lin Chen, Zaiyu Chen
Corresponding Author
Hui Tang
Available Online March 2013.
DOI
https://doi.org/10.2991/iccsee.2013.685How to use a DOI?
Keywords
component, wavelet transform,image denoising, hard threshold, soft threshold
Abstract
A new threshold function was proposed to overcome that hard threshold function is not continuous, soft threshold function has constant deviation and derivative discontinuity defects. It will be applied to using different thresholds denoising method with different decomposition level based on the D.J global threshold. Experimental results shows that the denoising result of new threshold function is superior to the traditional soft and hard threshold function in minimum mean square error (MSE) and peak signal to noise ratio (PSNR).
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Hui Tang
AU  - Zengli Liu
AU  - Lin Chen
AU  - Zaiyu Chen
PY  - 2013/03
DA  - 2013/03
TI  - Wavelet Image Denoising Based on The New Threshold Function
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2749
EP  - 2752
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.685
DO  - https://doi.org/10.2991/iccsee.2013.685
ID  - Tang2013/03
ER  -