This is absolutely awesome to see, having done (fairly modest - masters level) research in this field in the past.<p>For the uninitiated, I&#x27;ll try and summarise my understanding of the general concept of computational photography:<p>A &#x27;traditional&#x27; camera uses a physical system of lenses to focus light to a single point (area really), where the light is captured and recorded, using either film or a digital sensor. The captured light information is then processed in whatever necessary way depending on the capture mechanism to ultimately produce a photograph. But all that&#x27;s produced is one, singular photograph, that&#x27;s an exact mapping of the physical properties of the lens system.<p>Computational photography tries to virtualise aspects of this process by modelling the system&#x27;s optics, so that extra information can be inferred from the captured light using these models. This extra information can reveal things about the scene being captured (more the computer vision side) or be used to post-process different effects into the image after the fact in an intelligent way that uses real information about the scene (more the photography, art, side) such that the captured information represents a space of possible images of the scene, rather than just one singular point in that space (one photograph).<p>To increase the quality and quantity of this information, extra sensors, better sensors, different sensors (light field capture etc) are used, and modifications to the system can be made such as coded apertures, adjusting parameters like focal length and exposure time by known amounts, and collecting samples over a range of these modifications. Looks like a coded aperture is used in this technique for example but this article doesn&#x27;t go into a lot of detail on that.<p>When you start thinking about the possibilities of working with image &#x27;spaces&#x27; instead of photographs, both for practical computer vision applications and just plain cool art applications, it quickly becomes obvious what a fascinating and exciting (and important) field this is, and will be in the future.<p>It&#x27;s really, truly, awesome to see an application of this relatively new field of research which could hit the mainstream in a big way - namely thinner, lighter, solid state cameras in phones, which it looks like this research could ultimately lead to. Bravo to everyone involved!