The blurring of images creates great inconvenience in the process of recognizing and analyzing the content of images. For overcoming this problem, an efficient deblurring algorithm is proposed. In order to improve the efficiency of deblurring algorithms, we propose a model based on variational method for deblurring of color images. The nonlinear diffusion equation is used as the regularization term in the variational energy equation. In addition, the single channel is extended to multi channel in the process of dealing image and the split Bregman method is also introduced in the final phase of image restoration. The debluring effct of the proposed algorithm based on nonliner diffusion terms has better capability of smoothing filtering and preserving image edge information, faster calculate time, and higher restoration image quality than other algorithms. The experiments have verified the effectiveness of the proposed method. The deblurring algorithm based on nonlinear diffusion term improves the efficiency of image restoration, and has good visual evaluation and objective evaluation results.