Author(s)

Fang Li and Jiacong Zhao

Corresponding Author

Fang Li

Abstract

Wavelet denoising model firstly decomposes image into high frequency and the low frequency information, and the noise characteristics are mainly concentrated in the high frequency information, but it often appears excessive image denoising phenomenon. Therefore, in order to improve the effect of image denoising, this paper proposes an image denoising model based on partial differential equations in wavelet transform domain. The partial differential equation is combined with the wavelet decomposition. According to the characteristics of the wavelet decomposition, the partial differential equation is processed in the high frequency information. The experimental results show that the model has a good effect on the peak signal to noise ratio after image denoising.

Keywords

Wavelet Denoising; Partial Differential Equation; Image Denoising; Peak Signal to Noise Ratio; Gauss Noise