Computational imaging

Computational imaging refers to convergence of the camera and the computer. While a conventional digital camera creates the final image essentially on the image plane, a computational camera reconstructs the image in a computer based on the data provided by one or several image sensors. This gives more flexibility to image acquisition and enables more advanced techniques to be employed that go beyond the capabilities of traditional photography. For instance, cameras with unconventional optics can be used to produce images that have extended depth of field, or they could be re-focused afterwards.

Also conventionally captured images can be further processed, for example, to create high dynamic range, super-resolution or stereoscopic images. Due to its wide range of applications computational imaging (also referred to as computational photography) has become a major field of research within both the computer vision and the computer graphics communities.

Our research on computational imaging focuses on two subject areas: computational processing and computational cameras. More specifically, the following topics have been investigated:


For more information, contact Janne Heikkilä.

CMV/Research/ComputationalImaging (last edited 2013-01-30 12:57:40 by HannuRautio)