Holoscopic imaging, also known as integral imaging, has been recently attracting the attention of the research
community, as a promising glassless 3D technology due to its ability to create a more realistic depth illusion than the
current stereoscopic or multiview solutions. However, in order to gradually introduce this technology into the consumer
market and to efficiently deliver 3D holoscopic content to end-users, backward compatibility with legacy displays is
essential. Consequently, to enable 3D holoscopic content to be delivered and presented on legacy displays, a display
scalable 3D holoscopic coding approach is required.
Hence, this paper presents a display scalable architecture for 3D holoscopic video coding with a three-layer approach,
where each layer represents a different level of display scalability: Layer 0 - a single 2D view; Layer 1 - 3D stereo or
multiview; and Layer 2 - the full 3D holoscopic content. In this context, a prediction method is proposed, which
combines inter-layer prediction, aiming to exploit the existing redundancy between the multiview and the 3D holoscopic
layers, with self-similarity compensated prediction (previously proposed by the authors for non-scalable 3D holoscopic
video coding), aiming to exploit the spatial redundancy inherent to the 3D holoscopic enhancement layer.
Experimental results show that the proposed combined prediction can improve significantly the rate-distortion
performance of scalable 3D holoscopic video coding with respect to the authors’ previously proposed solutions, where
only inter-layer or only self-similarity prediction is used.