There is a process through which one becomes a public symbol. In this process, faces are iconized. They are photographed, digitized, disseminated as data and received by the public via computer, press or television. For most of us, they have no existence independent of this media. They become archetypes as we make associations, attaching ideas and emotions to them independent of personal experience. I hope for this work to provoke analysis of these associations. Using photographs of iconic faces published on the internet, I simplify each one into a small number of basic elements. I then upsample the file, allowing an algorithm to fill in data to blend these elements. This transforms the computer into a collaborative creator. The images still retain a simplified skeleton from the original representational portraits but their context becomes homogenized once they are resampled past recognition and compiled together. The viewer is faced with references to a variety of contrasting archetypes without the comfort of formal visual identifiers to discern between them. In allowing imaging software to play an active role in this homogenization, I hope to raise questions regarding how advancements in technology influence the visual information we receive and how visual media effects our perception of the world around us.