A comparison of raw light field lossless data compression algorithms
Francesca Murgia, Daniele Giusto · 2016
Novel digital photo cameras are able to sample the light field. In order to develop applications for efficiently storing and transmitting such information, it is important to study image coding architectures providing high compression ratios. This paper aims at exploring the performance of state-of-the-art lossless image compression algorithms applied to raw light field images. The obtained results are discussed in order to define future research directions in the area of light field image coding.