计算技术与自动化2018，Vol.37Issue(1)：95-98,4.DOI:10.16339/j.cnki.jsjsyzdh.201801019
改进的小波域耦合偏微分方程图像去噪模型
An Improved Image Denoising Model Based on Partial Differential Equation in Wavelet Domain
摘要
Abstract
Aiming at the shortcomings of the total variation and fourth order partial differential equation(PDE)image denoising model,by using the advantage of wavelet transform can focus on the subtle changes of the image.An image de-noising algorithm based on partial differential equation in wavelet domain was proposed.By making appropriate improve-ments to the wavelet threshold and threshold function using the weighted function combining total variation and fourth order partial differential equations.An improved image denoising model based on partial differential equation in wavelet domain was obtained.Compared with the wavelet soft threshold denoising and fourth order partial differential equations,MATLAB simulation results show that the peak signal to noise ratio of the new model have obvious enhancement.Meanwhile,new model can keep image edges and details very well.Finally,it can also improve the efficiency of handing noise.关键词
图像去噪/小波变换/偏微分方程/阈值函数/MATLABKey words
image denoising/wavelet transform/partial differential equation/threshold function/MATLAB分类
信息技术与安全科学引用本文复制引用
王俊,杨成龙..改进的小波域耦合偏微分方程图像去噪模型[J].计算技术与自动化,2018,37(1):95-98,4.基金项目
国家"973"重大专项(2013GB113000,2014GB106000) （2013GB113000,2014GB106000）
