High quality image magnification using cross-scale self-similarity

Publikationstyp
Conference Paper
Publikationsdatum
2009
Sprache
English
Author
Gooßen, André 
Ehlers, Arne 
Pralow, Thomas 
Grigat, Rolf-Rainer 
Institut
Bildverarbeitungssysteme E-2 
TORE-URI
http://hdl.handle.net/11420/4408
First published in
Informatik aktuell 
Start Page
444
End Page
448
Citation
IMeinzer HP., Deserno T.M., Handels H., Tolxdorff T. (eds) Bildverarbeitung für die Medizin 2009. Informatik aktuell. S. 444-448 (2009)
Contribution to Conference
Workshops Bildverarbeitung fur die Medizin: Algorithmen - Systeme - Anwendungen, BVM 2009 
Publisher DOI
10.1007/978-3-540-93860-6_90
Scopus ID
2-s2.0-84879911682
Publisher
Springer Vieweg
In medical imaging there is a frequent need to magnify a certain region of interest (ROI) of an image. However many modalities suffer from severe noise and traditional upscaling methods produce poor enlargement results. We present an approach based on cross-scale similarity of an image extendable to sequences using time domain information without explicit motion compensation. It combines noise suppression and upscaling and hence yields superior image quality compared to standard zooming algorithms. We evaluated our algorithm using artificial and clinical fluoroscopy acquisitions.
DDC Class
004: Informatik