Hensel, MarcMarcHenselPralow, ThomasThomasPralowGrigat, Rolf-RainerRolf-RainerGrigat2021-08-102021-08-102006Informatik aktuell : 16-20 (2006)http://hdl.handle.net/11420/10071We present a spatio-temporal filter for real-time noise reduction of strongly corrupted X-ray image sequences. It possesses efficient noise reduction while, at the same time, preventing typical artifacts of state-of-the-art methods. Decisive for these features are, in particular, innovative motion detection as well as noise-adaptive filter parametrization. Motion detection based on twofold signed binarization proved to be a powerful method for pixelwise separation of motion and strong noise. Drawbacks of threshold determination by Euler curve analysis as applied previously were eliminated by integration of signal-dependent noise estimation.en1431-472X20061620SpringerTechnikMedizinConference Paper10.1007/3-540-32137-3_4Other