Band-suppressed restoration of blurred X-ray images

In this paper we examine the restoration of X-ray images blurred by body motion. We describe the observation of these images with a mathematical model and propose several restoration filters composed of series of such models. These filters restore band-suppressed approximations of the original images in real-time. Furthermore, we introduce redundancy into these restoration filters in order to suppress the additive noise. We applied these methods to blurred X-ray images of an elbow bone model. The parameters of the restoration filter were estimated by using a marker attached to the subject as a reference signal