Light field imaging is a promising new technology that allows the user not only to change the focus and perspective after taking a picture, as well as to generate 3D content, among other applications. However, light field images are characterized by large amounts of data and there is a lack of coding tools to efficiently encode this type of content. Therefore, this paper proposes the addition of two new predict...
This Thesis aims at studying and developing efficient solutions for light field coding. In this regard, this Thesis proposes a light field coding solution based on the High Efficiency Video Coding (HEVC) standard and using a non-local spatial prediction scheme, named selfsimilarity compensated prediction. This solution is able to exploit the inherent correlations of this new type of content to achieve high rate...