In this paper, we propose a new Light Field Image (LFI) compression scheme based on Multiview Video plus Depth (MVD) coding architecture. Through LF function analysis, we preliminarily estimate depth map according to the concept of Epipolar Plane Image (EPI). Such a rough estimation causes some error pixels within initial depth map, so we design a weighting mean filter to smooth the inaccurate region. The final estimated depth maps can be encoded by MVD coding standard jointly with a small number of viewpoint images in LFI, so as to improve compression efficiency of LFI. Ultimately, massive experiments are conducted on 4 LFIs to verify the effectiveness of the proposed compression scheme. The simulated results demonstrate that our LFI compression scheme can achieve a high LFI compression performance and outperform the-state-of-art coding solution.
CITATION STYLE
Huang, X., An, P., Shen, L., & Li, K. (2018). Light field image compression scheme based on MVD coding standard. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10735 LNCS, pp. 79–88). Springer Verlag. https://doi.org/10.1007/978-3-319-77380-3_8
Mendeley helps you to discover research relevant for your work.