A new wavelet image de-noising method based on new threshold function.
- Author:
Guoquan XING
1
;
Huashan YE
;
Yuxia ZHANG
;
Yu YAN
Author Information
1. School of Biomedical Engineering, Hubei University of Science and Technology, Xianning 437100, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Artifacts;
Humans;
Image Interpretation, Computer-Assisted;
methods;
Photography;
methods;
Wavelet Analysis
- From:
Journal of Biomedical Engineering
2013;30(4):743-747
- CountryChina
- Language:Chinese
-
Abstract:
In order to improve image de-noising effect,a new threshold function de-noising method based on wavelet analysis was proposed, which can overcome the continuity problem of the hard-threshold function, and eliminate the constant deviation of the soft one by constructing a new threshold function. Experimental results showed that the new threshold function could obtain higher peak signal to noise ratio (PSNR) in image de-nosing. A better denoising effect could be obtained compared with the hard-threshold function, the soft one, the semi-soft one, the cubic polynomial interpolation semi-soft one, and the asymptotic semi-soft one.
