Light field imaging has emerged as a technology allowing to capture richer visual
information from our world. As opposed to traditional photography, which captures a 2D …

This paper proposes a novel approach for lossless image compression. The proposed
coding approach employs a deep-learning-based method to compute the prediction for each …

The increasing demand for immersive experience has greatly promoted the quality
assessment research of Light Field Image (LFI). In this paper, we propose an efficient deep …

We propose a versatile light field compression scheme that is organized on hierarchical
levels, where all views belonging to a particular level are encoded using several views …

In recent years, visual sensors have been quickly improving, notably targeting richer
acquisitions of the light present in a visual scene. In this context, the so-called lenslet light …

The paper introduces a novel macro-pixel prediction method based on Convolutional Neural
Networks (CNN) for lossless compression of light field images. In the proposed method …

Recent advances in the computer technology has enabled many theoretical ideas in
computer vision to become practical also within camera technology. Light field technology …

This paper proposes a novel approach for lossless coding of light field (LF) images based
on a macro-pixel (MP) synthesis technique which synthesizes the entire LF image in one …

Common representations of light fields use four-dimensional data structures, where a given
pixel is closely related not only to its spatial neighbours within the same view, but also to its …

Light field (LF) data are widely used in the immersive representations of the 3D world. To
record the light rays along with different directions, an LF requires much larger storage …