  In this paper we review several algorithms for image inpainting based on the
hypoelliptic diffusion naturally associated with a mathematical model of the
primary visual cortex. In particular, we present one algorithm that does not
exploit the information of where the image is corrupted, and others that do it.
While the first algorithm is able to reconstruct only images that our visual
system is still capable of recognize, we show that those of the second type
completely transcend such limitation providing reconstructions at the
state-of-the-art in image inpainting. This can be interpreted as a validation
of the fact that our visual cortex actually encodes the first type of
algorithm.
