Over the last few decades, nearly all media (e.g., audio, images, video, text, CAD) have been transitioning to digital representations. There are of course countless works that predate this transition. One key challenge is that analog representations in physical media may be subject not only to noise but to other artifacts specific to each physical representation. In this talk I will consider the challenging case of printed color illustrations, and in particular, comic art. I will present our recent work on automated conversion of scanned color comic books, as well as some other types of hand-drawn color illustrations, into a new, high-fidelity rescalable digital representation, suitable for today’s high resolution digital reading devices. Our approach is to model the color comics printing process in a rigorous manner and to invert this model using non-linear optimization.
Johannes Kopf is a Researcher at Microsoft Research in Redmond, working in computer graphics and related areas. More specifically, his research spans a variety of areas including computational photography, vectorization, and image-based rendering. Before joining Microsoft he received a PhD from the University of Konstanz, Germany.
This lecture is organized by the Computer Graphics Group at the Institute of Computer Graphics and Algorithms. Supported by the Austrian Computer Society (OCG).