A practical method for estimating the blur parameters using correlation analysis is proposed. In the frequency domain the correlation between the original blurred images and the second blurred images is analyzed after blurring the original images by a series of Point Spread Functions(PSFs) with various parameters of same model. The experimental results indicate that the algorithm is suitable for the parameter recognition of both defocus and motion blur models and has higher precision and less computational cost.