Based on the overcomplete sparse representation theory,a face image super-resolution reconstruction method based on local constraint is proposed.First,a pair of associated redundant dictionary,including high-resolution (HR)and low-resolution (LR),are calculated through sample training.Based on the correlation in local scope of face image,the high-resolution image is reconstructed.Then,the image is optimized globally.To verify the validity of the algorithm,the contrast experiment is made by using ORL standard image,the results show that the algorithm can work well in the actual conditions,and can recover the high-resolution information perfectly.