[A new wavelet image de-noising method based on new threshold function].
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.
School of Biomedical Engineering, Hubei University of Science and Technology, Xianning 437100, China.
Guoquan
G
Xing
Huashan
H
Ye
Yuxia
Y
Zhang
Yu
Y
Yan
D000465:Algorithms; D016477:Artifacts; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D010781:Photography / Q000379:methods*; D058067:Wavelet Analysis