In Figure 5, we present a noisy image with three different geometric shapes including a disk, a triangle and a square. This synthetic image has corners, straight edges and curved edges. In the listed image of u, we see that noise is removed while the corners and edges are preserved. Besides these, we also see that there is almost no signal information inside the difference image f ° u, which demonstrates the noise removal efficiency and image intensity contrast preservation of our model.