Computational Photography uses computers to extend the possibilities of traditional (including digital) photography. This includes stitching together panoramas from individual images, changing the focus after the image was taken, removing motion blur from an image, and piecing together images from different exposures to manage contrast.
Among the topics we will cover are the following:
- Camera basics (lens models, aperture, shutter)
- Exposure, contrast
- Matting
- Mosaicing
- Compressed sensing
- Infinite focus
- High Dynamic Range (HDR) photography
- Image relighting
I will teach this course together with Richard Souvenir in Fall 2009 (TR 3:30-4:45). This is a special topics course, so make sure you sign up for the correct section (001)!