Painterly rendering has been linked to computer vision, but we propose to link it to human vision because perception
and painting are two processes that are interwoven. Recent progress in developing computational models allows
to establish this link. We show that completely automatic rendering can be obtained by applying four image
representations in the visual system: (1) colour constancy can be used to correct colours, (2) coarse background
brightness in combination with colour coding in cytochrome-oxidase blobs can be used to create a background
with a big brush, (3) the multi-scale line and edge representation provides a very natural way to render
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brush strokes, and (4) the multi-scale keypoint representation serves to create saliency maps for Focus-of-Attention,
and FoA can be used to render important structures. Basic processes are described, renderings are shown, and
important ideas for future research are discussed
