An image processing method, system, device and medium provided by the present invention, aiming at the current problems, designs an image processing method, which can distinguish high-definition images and low-definition images from real images; and also designs a The degradation model can first learn the characteristics of the low-definition image, and generate a simulated low-definition image corresponding to the high-definition image one by one, which solves the problem that the super-resolution model is difficult to train on the real image; at the same time, the present invention also designs a filter mechanism, Splitting the image into high-frequency and low-frequency parts significantly improves the super-resolution effect of real images. Moreover, the present invention has versatility, and according to different application scenarios, the optimal super-resolution effect of the scenario can be obtained only by using corresponding real images for training. Moreover, the image after the image quality is improved by the super-resolution model in the present invention has no distortion in color, clear details, sharp edges, and a good overall look and feel.