Imaging-Correlated Intra Prediction for Plenoptic 2.0 Video Coding

The plenoptic 2.0 video records time-varying light fields varying with much higher spatial resolution for each subaperture image. However, the huge data volume becomes a significant obstacle of the plenoptic 2.0 video application. Therefore, this paper proposes an efficient compression method designed for plenoptic 2.0 video coding. First, the matching blocks relative to the current block are determined by imaging principles. The matching blocks and current block are imaged by the same object under neighboring microlens, which are highly correlated with each other. Then, weighted prediction by using the matching blocks as reference blocks is adopted for the intra prediction of current block. Compared with HEVC, experimental results show that the proposed method can save 9.63% and 4.73% bitrate under the All Intra and Random Access configuration, respectively.