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Antipodally invariant metrics for fast regression-based super-resolution

Autor
Pérez-Pellitero, E.; Salvador, J.; Ruiz-Hidalgo, J.; Rosenhahn, B.
Tipus d'activitat
Article en revista
Revista
IEEE transactions on image processing
Data de publicació
2016-03-31
Volum
25
Número
6
Pàgina inicial
2456
Pàgina final
2468
DOI
https://doi.org/10.1109/TIP.2016.2549362 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/89049 Obrir en finestra nova
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7445242 Obrir en finestra nova
Resum
Dictionary-based super-resolution (SR) algorithms usually select dictionary atoms based on the distance or similarity metrics. Although the optimal selection of the nearest neighbors is of central importance for such methods, the impact of using proper metrics for SR has been overlooked in literature, mainly due to the vast usage of Euclidean distance. In this paper, we present a very fast regression-based algorithm, which builds on the densely populated anchored neighborhoods and sublinear sear...
Citació
Pérez-Pellitero, E., Salvador, J., Ruiz-Hidalgo, J., Rosenhahn, B. Antipodally invariant metrics for fast regression-based super-resolution. "IEEE transactions on image processing", 31 Març 2016, vol. 25, núm. 6, p. 2456-2468.
Paraules clau
Antipodes, Regression, Spherical Hashing, Spherical hashing, Super-Resolution, Super-resolution
Grup de recerca
GPI - Grup de Processament d'Imatge i Vídeo
IDEAI-UPC Intelligent Data Science and Artificial Intelligence

Participants

  • Pérez Pellitero, Eduardo  (autor)
  • Salvador, Jordi  (autor)
  • Ruiz Hidalgo, Javier  (autor)
  • Rosenhahn, Bodo  (autor)