A new image denoising model based on mixing Wiener filtering and improved total variation is proposed for protecting the information of image’s edge and texture in image processing.The proposed model combined Wiener filtering and improved total variation with an optimal weighting value,which was made by new operator to establish diffusion model, and could adaptively select the most appropriate denoising scheme by utilizing the gradient information of each pixel point in the image,remove Gaussian noise while keep edge structures in advance and overcome the “staircase effect” of total variation model.The simulation results indicate that the proposed model can improved enoising performance,protect edge’s structure, and retain more texture details of the image effectively.Compared with other classical linear filtering method,the new model is ideal, the peak signaltonoise ratio is improved by 20 dB and the mean square error decreases sharply in the test.