Mixed noise denoised based on partial differential equation
QU Han-zhangc · Jisuanji yingyong yanjiu · 2013
As the most major drawback of the present image denoising methods is only appropriate for the single noise removal and can not solve the mixed denoising problem.This paper presented a weighting mixed noise model and established the energy functional expression of the model,then used variational method to get the Euler-Lagrange equation of the model.Furthermore,it proposed an improved iterative algorithm to solve the proposed model based on explicit difference iteration regularization method.The improved numerical algorithm can not only enhance the speed and the stability of numerical algorithm,but also avoid the staircase effect of the image denoising in some way.The simulation results show that the proposed model can effectively smooth the noises and preserve the edge and fine detail information properly,while comparing with the traditional algorithm,noise reduction performance is improved at some level.