How computation impacts the entire workflow of photography, which is traditionally aimed at capturing light from a 3D scene to form a 2D image has been explored. A detailed study of the perceptual, technical and computational aspects of forming pictures, and more precisely the capture and depiction of reality on a (mostly 2D) medium of images is undertaken. The scientific, perceptual, and artistic principles behind image-making are emphasized, especially as impacted and changed by computation.

Topics include the relationship between pictorial techniques and the human visual system; intrinsic limitations of 2D representations and their possible compensations; and technical issues involving capturing light to form images. Technical aspects of image capture and rendering, and exploration of how such a medium can be used to its maximum potential, will be examined. New forms of cameras and imaging paradigms are explored.

Programming has been completed in Python using numpy, scipy, openCV libraries.

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