We address the problem of light field dimensionality reduction for compression. We describe
a local low rank approximation method using a parametric disparity model. The local support …

The acquisition of the spatial and angular information of a scene using light field (LF)
technologies supplement a wide range of post-processing applications, such as scene …

In this paper we introduce a new light field codec, dubbed WaSPR (warping and sparse
prediction on regions), which has additional features and improved performance when …

Graph-based transforms are powerful tools for signal representation and energy
compaction. However, their use for high dimensional signals such as light fields poses …

In this paper, we present a novel approach to efficiently transmit light fields in the Fourier
Disparity Layer (FDL) representation using a binary hierarchical scheme. The FDL model …

Disparity estimation is an essential task taking part in many light-field applications. Due to
the complexity of algorithms and high dimensional property of light-field data, performing this …

Different from traditional images, light field images record not only spatial information but
also angle information. Due to the large volume of light field data brings great difficulties to …

Light field data captured by a lenslet-based image sensor is typically demosaicked, aligned
and rearranged into a series of sub-aperture (viewpoint) images, before a disparity …