基于P-M方程的小波阈值去噪研究

Research on Wavelet Threshold Denoising Based on P-M Equation

通过仿真实验提出了一种新的图像去噪算法,克服了传统小波阈值去噪算法中存在的缺陷;在小波分解的过程中,将图像的低频部分采用P-M方程去噪,通过小波重构后,再将图像进行小波阈值去噪。仿真实验结果表明:该方法对图像噪声有比较好的抑制效果,能有效改善图像的质量和平滑效果。

Through the simulation experiment,it proposed a new image denoising algorithm in this paper,and defects existing in the traditional wavelet threshold denoising algorithm were overcome. In the process of wavelet decomposition,the image of the low frequency part adopted P-M equation denoising,then the image wavelet threshold denoised after wavelet reconstruction. The results showed that the method of image noise has better inhibition effect,and the method can effectively improve the quality of the image and smoothing effect.