  Light field data records the amount of light at multiple points in space,
captured e.g. by an array of cameras or by a light-field camera that uses
microlenses. Since the storage and transmission requirements for such data are
tremendous, compression techniques for light fields are gaining momentum in
recent years. Although plenty of efficient compression formats do exist for
still and moving images, only a little research on the impact of these methods
on light field imagery is performed. In this paper, we evaluate the impact of
state-of-the-art image and video compression methods on quality of images
rendered from light field data. The methods include recent video compression
standards, especially AV1 and XVC finalised in 2018. To fully exploit the
potential of common image compression methods on four-dimensional light field
imagery, we have extended these methods into three and four dimensions. In this
paper, we show that the four-dimensional light field data can be compressed
much more than independent still images while maintaining the same visual
quality of a perceived picture. We gradually compare the compression
performance of all image and video compression methods, and eventually answer
the question, "What is the best compression method for light field data?".
