Super-Resolved Binarization of Text Based on the FAIR Algorithm

In this paper, we present a novel approach for super-resolved binarization of document images acquired by low quality devices. The algorithm tries to compute the super resolution of the likelihood of text instead of the gray value of pixels. This method is the extension of a binarization algorithm (FAIR: a Fast Algorithm for document Image Restoration) which has been submitted into different contests where it showed good performances. The method can be considered as parameter free and is based on a rough localization of text in order to save computation time. Experimental results on several image sequences presenting a background noise and variation in contrast and illumination show the effectiveness of the method.