The features and shortcomings of Toeplitz method for realizing image restoration are discussed. To overcome the disadvantage of traditional Toeplitz deblurring method, a simplified deblurring method for linear symmetric real kernel applied in image restoration is provided, accompanied with relevant algorithms. With new means, finite sized inverse kernel is gotten through rationally corresponding projecting and truncated processing. Among several topics concerned, the format of project matrix and the size of truncated inverse kernel are explained and discussed in detail. Simulation results show that the simplified algorithm is significantly better than the traditional Toeplitz method.