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