Post-processing of Multiview Images: Depth Scaling

Abstract

The post processing of multiview images is one of new fields. Among them, a depth scaling is an important research. In this paper, we present a depth scaling method for multiview images that could provide an effective control of stereoscopic depth range. Unlike the previous works that change a camera configuration, our proposed method utilizes depth data in order to carry out the scaling of a depth range requested by users. In particular, our method can deal with multiview images captured by multiple cameras, and can be expanded from stereoscopic to multiview images. Our experimental results tested on automultiscopic 3D displays show that the perceived depth is appropriately scaled according to a user’s preferred depth. To prove this, DQCQS (Double Stimulus Continuous Quality Scale) subjective test is performed. The mean evaluation value of ten subjects is varied proportional to a scale factor.