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Continuous normalized convolution
Linköpings universitet, Institutionen för medicinsk teknik, Medicinsk informatik. Linköpings universitet, Tekniska högskolan.
Linköpings universitet, Institutionen för medicinsk teknik, Medicinsk informatik. Linköpings universitet, Tekniska högskolan. Linköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIV.ORCID-id: 0000-0002-9091-4724
2002 (engelsk)Inngår i: Multimedia and Expo, 2002. ICME '02. Proceedings. 2002 IEEE International Conference on  (Volume:1), IEEE , 2002, s. 725-728Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The problem of signal estimation for sparsely and irregularly sampled signals is dealt with using continuous normalized convolution. Image values on real-valued positions are estimated using integration of signals and certainties over a neighbourhood employing a local model of both the signal and the used discrete filters. The result of the approach is that an output sample close to signals with high certainty is interpolated using a small neighbourhood. An output sample close to signals with low certainty is spatially predicted from signals in a large neighbourhood.

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IEEE , 2002. s. 725-728
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-24521DOI: 10.1109/ICME.2002.1035884Lokal ID: 6653ISBN: 0-7803-7304-9 (tryckt)OAI: oai:DiVA.org:liu-24521DiVA, id: diva2:244842
Konferanse
IEEE International Conference on Multimedia and Expo, Lausanne, Switzerland, 2002
Tilgjengelig fra: 2009-10-07 Laget: 2009-10-07 Sist oppdatert: 2013-08-28bibliografisk kontrollert

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