The invention relates to an image filtering method based on self-adaptive neural fuzzy inference systems. For an image contaminated by salt and pepper impulse noise, the method includes that a network containing four self-adaptive neural fuzzy inference systems and one post-processing block is constructed; before the network is used for filtering a noise image, a training image is constructed artificially, the four self-adaptive neural fuzzy inference systems are trained independently by using a hybrid learning algorithm, and parameters in the systems are determined; when training of the four self-adaptive neural fuzzy inference systems is finished, the network can be formed by the four self-adaptive neural fuzzy inference systems and the post-processing block, and the network is used for filtering a tested image. The pulse noise filtering method can effectively remove the salt and pepper pulse noise in the image in filtration mode and can well keep edges and details in an original image. Fathering performance of the image filtering method is better than that of some traditional image filtering methods.