PRIAR (Pattern Recognition Image Augmented Resolution) - a tool to combine pattern-recognition with super-resolution (Contributo in atti di convegno)

Type
Label
  • PRIAR (Pattern Recognition Image Augmented Resolution) - a tool to combine pattern-recognition with super-resolution (Contributo in atti di convegno) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Alternative label
  • Righi M., D'Acunto M., Salvetti O. (2014)
    PRIAR (Pattern Recognition Image Augmented Resolution) - a tool to combine pattern-recognition with super-resolution
    in OGRW2014 - 9th International Conference on Open German­ Russian Workshop on Pattern Recognition and Image Understanding, Koblenz, Germany, 1-5 December 2014
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Righi M., D'Acunto M., Salvetti O. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • Moduli CNR: 2269-ICT.P10.012.001 (literal)
Note
  • PuMa (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy. (literal)
Titolo
  • PRIAR (Pattern Recognition Image Augmented Resolution) - a tool to combine pattern-recognition with super-resolution (literal)
Abstract
  • PRIAR (Pattern Recognition Image Augmented Res- olution) is a tool that uses the information gained through pattern-recognition to enhance resolution for low quality images, and to allow the end user to explore, recognize and super- resolve low-resolution images. In this paper, we present the basic functionality of the PRIAR algorithms, that have been implemented with Matlab classes and functions. These classes can be easily combined, which has the advantage that one can adapt the simulation programs to various applications. Here, we consider the application of PRIAR to image reproducing cells recorded with scanning probe microscopy. (literal)
Prodotto di
Autore CNR
Insieme di parole chiave

Incoming links:


Prodotto
Autore CNR di
Insieme di parole chiave di
data.CNR.it