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L2-optimal image interpolation and its applications to medical imaging (1006.2368v1)
Published 11 Jun 2010 in cs.CV and cs.GR
Abstract: Digital medical images are always displayed scaled to fit particular view. Interpolation is responsible for this scaling, and if not done properly, can significantly degrade diagnostic image quality. However, theoretically-optimal interpolation algorithms may also be the most time-consuming and impractical. We propose a new approach, adapted to the needs of digital medical imaging, to combine high interpolation speed and superior L2-optimal image quality.