Light Field Compression Using Global Multiplane Representation and Two-Step Prediction
Light Field Compression Using Global Multiplane Representation and Two-Step Prediction
复制标题
使用全局多平面表示和两步预测的光场压缩
DOI：
10.1109/lsp.2020.3003533
复制
发表时间：
2020-01-01
影响因子：
3.9
通讯作者：
Wu, Qiang
中科院分区：
文献类型：
--
作者：
Chen, Yilei;An, Ping;Wu, Qiang
Due to its spatio-angular structure, light field image allows for a wealth of post-processing techniques like digital refocusing and depth estimation. In order to compress the data of the two domains, the current proposal intends to embed the disparity-based view synthesis method into the decoder. However, predicting each view separately or in local groups means bringing more computational burden to the decoder and destroying the light field structure. Since disparity contains the relationship between all light rays in the light field, the proposed solution is to predict a disparity-based global representation as the first step. In the second step, all the views can be predicted easily based on this representation. In this letter, we use the recently proposed multiplane as the form of this global representation. The experimental results show the effectiveness of the proposed solution, and the better RD performance compared to other schemes especially under low bitrates.
