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High quality image magnification using cross-scale self-similarity
Publikationstyp
Conference Paper
Date Issued
2009-03
Sprache
English
Institut
TORE-URI
Start Page
444
End Page
448
Citation
Workshops Bildverarbeitung fur die Medizin: Algorithmen - Systeme - Anwendungen, BVM 2009: 444-448
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
Springer Vieweg
ISBN
978-3-540-93860-6
978-3-540-93859-0
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