Computational Photography

This class explores how computation impacts the entire workflow of photography, which is traditionally aimed at capturing light from a 3D scene to form a 2D image. 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 over the entire term. The scientific, perceptual, and artistic principles behind image-making will be 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 will be introduced.

• Introduction
• What is Computational Photography?,Dual Photography,Panorama
• Digital Imaging
• Point Processes, Smoothing,Blending Modes, Convolution and Cross-Correlation,Gradients and Edges
• Cameras
• Lenses,Exposure,Sensor
• Comp Vision to Comp Photo
• Fourier Transform,Blending,Pyramids
• Applications
• Panorama,HDR,Time Lapse
• Light Field
• Lightfield,Lightfield Camera
• Blue / De-Blur
• Lucy-Richardon Blur,Flutter Shutter
• Video
• Video,Video Textures,Video Stabilization
• Closing Thoughts