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[A new wavelet image de-noising method based on new threshold function]
Guoquan Xing1, Huashan Ye, Yuxia Zhang
1School of Biomedical Engineering, Hubei University of Science and Technology, Xianning 437100, China.
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.
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