Wavelet Image Denoising Based on The New Threshold Function
Hui Tang, Zengli Liu, Lin Chen, Zaiyu Chen
Available Online March 2013.
- https://doi.org/10.2991/iccsee.2013.685How to use a DOI?
- component, wavelet transform,image denoising, hard threshold, soft threshold
- 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.
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 -