A Novel Randomize Hierarchical Extension of MVHEVC for Improved Light Field Compression This paper presents a novel scheme for light field compression based on a randomize hierarchical multiview extension of high efficiency video coding (dubbed as RHMVHEVC). Specifically, a light field data are arranged as a multiple pseudotemporal video sequences which are efficiently compressed with MVHEVC encoder, following an integrated random coding technique and hierarchical prediction scheme. The critical advantage of proposed RHMVHEVC scheme is that it utilizes not just a temporal and interview prediction, but efficiently exploits the strong intrinsic similarities within each subaperture image and among neighboring subaperture images in both horizontal and vertical directions. Experimental results consistently outperform the stateoftheart compression methods on benchmark ICME 2016 and ICIP 2017 grand challenge data sets. It achieves an average up to 33.803% BDrate reduction and 1.7978 dB BDPSNR improvement compared with an advanced JEM video encoder, and an average 20.4156% BDrate reduction and 2.0644 dB BDPSNR improvement compared with a latest imagebased JEManchor coding scheme.

A low complexity WynerZiv coding solution for Light Field image transmission and storage Compressing Light Field (LF) imaging data is a challenging but very important task for both LF image transmission and storage applications. In this paper, we propose a novel coding solution for LF images using the wellknown WynerZiv (WZ) information theorem. First, the LF image is decomposed into a fourthdimensional LF(4DLF) data format. Using a spiral scanning procedure, a pseudosequence of 4DLF is generated. This sequence is then compressed in a distributed coding manner as specified in the WZ theorem. Secondly, a novel adaptive frame skipping algorithm is introduced to further explore the high correlation between 4DLF pseudo sequences. Experimental results show that the proposed LF image compression solution is able to achieve a significant performance improvement with respect to the standard, notably around 54% bitrate saving when compared with the standard High Efficiency Video Coding (HEVC) Intra benchmark while requiring less computational complexity.