  Compression is an important task for many practical applications of light
fields. Although previous work has proposed numerous methods for efficient
light field compression, the effect of view selection on this task is not well
exploited. In this work, we study different sub-sampling and reconstruction
strategies for light field compression. We apply various sub-sampling and
corresponding reconstruction strategies before and after light field
compression. Then, fully reconstructed light fields are assessed to evaluate
the performance of different methods. Our evaluation is performed on both
real-world and synthetic datasets, and optimal strategies are devised from our
experimental results. We hope this study would be beneficial for future
research such as light field streaming, storage, and transmission.
