  The problem of inpainting involves reconstructing the missing areas of an
image. Inpainting has many applications, such as reconstructing old damaged
photographs or removing obfuscations from images. In this paper we present the
directional diffusion algorithm for inpainting. Typical diffusion algorithms
are bad at propagating edges from the image into the unknown masked regions.
The directional diffusion algorithm improves on the regular diffusion algorithm
by reconstructing edges more accurately. It scores better than regular
diffusion when reconstructing images that are obfuscated by a text mask.
