The work aims to propose an image restoration method for printing image degradation caused by multiple factors with respect to multiple degradation factors including salt & pepper noise, Gaussian noise and fuzzy degradation. First, considering that the salt & pepper noise density of printing image was not very high, a two-step method for detecting and removing salt & pepper noise based on gray-scale range criterion and local difference criterion was designed, and the proper threshold parameters were found by means of the evaluation experiment. In the process of removing Gaussian noise and image blurring, considering the principle and properties of the edge-reserving smoothing filter, the bilateral filter and guided filter were applied in the image restoration, and on this basis, the second-time guided filter for detail-enhancement of the image was designed and applied. For the removal of salt & pepper noise, the proposed method can achieve better restoration results for most images, especially for the images with few slight edges, and the PSNR value can reach over 40 after the restoration. The second-time guided filter had the best restoration effect for Gaussian noise and image blurring. Through the evaluation and analysis on different image restoration methods, the properties of the proposed method are verified and it provides guidance for the application of image restoration technology in the future.