DocumentCode :
2213477
Title :
Joint multi-frame demosaicing and super-resolution with artificial neural networks
Author :
Heinze, Theodor ; Von Löwis, Martin ; Polze, Andreas
Author_Institution :
Oper. Syst. & Middleware Group, Hasso-Plattner-Inst., Potsdam, Germany
fYear :
2012
fDate :
11-13 April 2012
Firstpage :
540
Lastpage :
543
Abstract :
This paper introduces an artificial neural networks (ANN) based framework for joint demosaicing of color field array (CFA) raw image sequences. We propose an algorithm that offers superior resolution, signal to noise ratio and dynamic range when compared to single-frame demosaicing. A rich set of both synthetic and real world experimental results illustrates its capabilities.
Keywords :
image resolution; image segmentation; image sequences; neural nets; artificial neural networks; color field array raw image sequences; joint multiframe demosaicing; signal to noise ratio; single frame demosaicing; superior resolution; Artificial neural networks; Image color analysis; Noise; Signal resolution; Spatial resolution; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Signals and Image Processing (IWSSIP), 2012 19th International Conference on
Conference_Location :
Vienna
ISSN :
2157-8672
Print_ISBN :
978-1-4577-2191-5
Type :
conf
Filename :
6208198
Link To Document :
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