Computational photography refers to computational image capture, processing, and manipulation techniques that enhance or extend the capabilities of digital photography, typically through the use of multiple pictures of the same subject matter, such, as, for example, by using differently exposed pictures of the same scene to extend dynamic range beyond even that of analog film-based media.[1] Other examples of computational photography include processing and merging differently illuminated images of the same subject matter ("lightspace") and differently focused pictures of the same subject matter.[2] The output of these techniques is an ordinary photograph, but one that could not have been taken by a traditional camera.