PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Righi M., D'Acunto M., Salvetti O. 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). Proceedings, article n. 15. University of Koblenz-Landau, 2014.
 
 
Abstract
(English)
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.
Subject Signal analisys
Super-resolution
Pattern-recognition
Image analysis
I.5.4 PATTERN RECOGNITION. Applications
I.5.1 PATTERN RECOGNITION. Models


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