图像的模糊会给图像内容的识别和分析带来极大的不便。为了克服这个难题，提出一种高效的去模糊算法。为了提高其效率，采用基于变分方法的盲复原模型为彩色图像去模糊，其使用非线性扩散方程作为变分能量方程中的规则项，此外，在处理图像的过程中将单通道扩展成多通道，在最后的图像复原阶段还引入了分裂Bregman方法。基于非线性扩散项算法的去模糊效果相比于其他算法有更好的平滑滤波和保留图像边缘信息的能力、更快的计算速度和更高的复原图像质量，并通过实验验证了该方法的有效性。本文算法提高了图像复原的效率，获得了更好的视觉评价和客观评价结果。

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.