Machine vision systems based on deep convolutional neural networks are increasingly utilized in digital humanities projects, particularly in the context of art-historical and audiovisual data. As research has shown, such systems are highly susceptible to bias. We propose that this is not only due to their reliance on ...

On the internet, you find numerous images like screenshots where secret parts are hidden with irreversible redaction techniques like pixelation or blurring. In this paper, we propose a system that recovers information from redacted text in raster graphics using a composition of a Convolutional Neural Network (CNN), a ...