Images used for medical and scientific purposes are rarely perfect. Imperfections in the imaging system and environmental effects may result in serious degradations in the recorded image. For example, movement of the heart during cardiac imaging produces motion blurs. Computational methods can be used to remove the blur, provided that the magnitude and direction of the motion is known. If the motion is described by a single direction with uniform speed, then the deblurring can be done fairly efficiently.
In this talk we consider images that are degraded by non-uniform motion blurs, and describe various algorithms that can be used, as well as efficient implementations.