Konferenční příspěvek

Šorel M., Flusser J.

Proceedings of the 5th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2005.

2005

737-742

RNDr. Michal Šorel, Ph.D. (ÚTIA - Oddělení zpracování obrazové informace)

We present an algorithm that uses two or more
images of the same scene blurred by camera motion for recovery
of 3D scene structure and simultaneous restoration of sharp
image. Motion blur is modeled by convolution with space-varying
mask that changes its scale with the distance of imaged objects.
The mask can be of arbitrary shape corresponding to the integral
of the camera path during the pick-up time, which can be
measured for instance by inertial sensors. This approach is more
general than previously published algorithms that assumed shiftinvariant
blur or fixed, rectangular or Gaussian, mask shape.
Algorithm can be easily parallelized and has a potential to be
used in practical applications such as compensation of camera
shake during long exposures.