Super-rays based low rank approximation for light fields compression

The complexity of PB-VDSR is mainly affected by the computation of the optical flows used to align the light field (SIFT Flow in our case), of the SVD decomposition used to

mation. Therefore, 4D SA-DCT is applied on: 1) super- pixels used in [16] (computed on synthesized color without disparity compensation or merging) 2) super-rays computed on

Here we focus on the problem of residue coding with graph transforms in a light field compression scheme based on view synthesis.. We consider the view synthesis method proposed in

In this paper, we present the first approach for video light field over-segmentation called dynamic super-rays, which can be seen as temporally and angularly consistent

given that each angular view captures the same scene from a different view point, we align all angular views to the centre view using optical flow and then reduce the angular

Considering a matrix which concatenates all the vector- ized views, we formulate the problem of recovering saturated areas as a Weighted Low Rank Approximation (WLRA) where the

In this paper, we have proposed a compact representation of light fields based on a joint optimization of homographies and of a low rank approximation, considering both a

We show that using the proposed disparity parametric model and estimation algorithm gives an alignment of super-pixels across views that favours the low rank approximation compared