Sharpness-aware document image mosaicing using graphcuts

There are numerous types of documents which are difficult to scan or capture in a single pass due to their physical size or the size of their content. One possible solution that has been proposed is mosaicing multiple overlapping images to capture the complete document. In this paper, we present a novel Graphcut-based document image mosaicing method which seeks to overcome the known limitations of the previous approaches. First, our method does not require any prior knowledge of the content of the given document images, making it more widely applicable and robust. Second, information regarding the geometrical disposition between the overlapping images is exploited to minimize the errors at the boundary regions. Third, our method incorporates a sharpness measure which induces cut generation in a way that results in the mosaic including the sharpest pixels. Our method is shown to outperform previous methods, both quantitatively and qualitatively.