Light field image compression method based on correlation of rendered views

In order to explore the strong correlation between virtual rendering viewpoints and improve the compression efficiency of optical field image, an optical field image compression algorithm based on viewpoint correlation was proposed. The algorithm was based on high efficiency video coding (HEVC) and screen content coding expansion platform. Linear weighting algorithm and intra-block copy hybrid prediction algorithm were used to improve the prediction accuracy of coded blocks. Distortion optimization process was used to adaptively select the optimal block size and prediction mode. The experimental results show that, the average BJONTEGAARD delta peak signal-to-noise ratio(BD-PSNR) coding gain of the proposed algorithm is 2.55dB compared with that of HEVC standard. At the same time, better quality of virtual view rendering can be gotten. The algorithm makes full use of the strong correlation between virtual rendering viewpoints and improves the coding efficiency of optical field images.