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An automatic image scaling up algorithm

Capitolo di libro
Data di Pubblicazione:
2012
Abstract:
A fully automatic scaling up algorithm is presented in the framework of interpolation methods. For any integer zooming factor n, the algorithm generates a magnified version of an input color image in one scan of the image. The computational complexity of the algorithm is O(N), where N is the size of the input image. The visual aspect of the magnified images is generally appealing also when considering large zooming factors. Peak Signal to Noise Ratio and Structural SIMilarity are used to evaluate the performance of the algorithm and to compare it with other scaling up algorithms.
Tipologia CRIS:
02.01 Contributo in volume (Capitolo o Saggio)
Elenco autori:
Arcelli, Carlo; Frucci, Maria; SANNITI DI BAJA, Gabriella
Autori di Ateneo:
FRUCCI MARIA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/142
Titolo del libro:
Pattern Recognition
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URL

http://link.springer.com/chapter/10.1007%2F978-3-642-31149-9_4
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