Antialiasing for Automultiscopic 3D Displays

Abstract

Automultiscopic displays show stereoscopic images that can be viewed from any viewpoint without special glasses. They hold great promise for the future of television and digital entertainment. However, the image quality on these 3D displays is currently not sufficient to appeal to the mass market. In this paper, we present a signal processing framework to address some of the major issues in 3D cinematography for automultiscopic displays. First, we derive the bandwidth of 3D displays using ray-space analysis. We show that this approach provides solid foundations to analyze and distinguish various aspects of aliasing. We then present an anti-aliasing technique for automultiscopic displays by combining a reconstruction and a display prefilter. Next, we show how to reparameterize multi-view inputs to optimally match the depth of field of a display to improve the image quality. We also present guidelines for 3D content acquisition, such as optimal multi-view camera configuration and placement.