Abstract:
Light fields (LFs) and light field videos (LFVs)
capture both angular and spatial variation of light rays emanating
from scenes. This richness of information leads to novel
applications such as post-capture refocusing, depth estimation
and depth-velocity filtering which are not possible with images
and videos. These capabilities come, however, with a significant
increase in data to be processed. In order to fully exploit
opportunities provided by LFs and LFVs, low-complexity signal
processing algorithms that process LF and LFV data in realtime
are required. In this paper, we survey such state-of-theart
algorithms, in particular for depth filtering, refocusing and
denoising of LFs and depth-velcoty filtering for LFVs, and future
directions for these real-time LF an LFV processing algorithms.
