Ghost imaging is a new imaging technique by means of intensity correlation of two light beams. To obtain a high quality of ghost image, a lot of data should be accumulated, which is a major disadvantage in terms of image acquisition time. In this work, we proposed a Bayesian denoising method for ghost imaging to improve the quality of image with relatively little data.