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An adaptive nonparametric approach to restoration and interpolation for medical imaging

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2 Author(s)
Hiroyuki Takeda ; University of California, Santa Cruz, USA ; Peyman Milanfar

We present the application of a novel nonparametric approach to restoration and interpolation of medical images. The proposed approach is based on the notion of spatially adaptive filtering where locally computed filters adjust to the underlying estimated geometry of the signal of interest. In particular, the approach allows for high performance denoising, restoration and interpolation of images from a variety of modalities using the same mathematical and computational framework.

Published in:

2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro

Date of Conference:

June 28 2009-July 1 2009