Realtime 3D light field transmission Although capturing and displaying stereo 3D content is now commonplace, informationrich lightfield video content capture, transmission and display are much more challenging, resulting in at least one order of magnitude increase in complexity even in the simplest cases. We present an endtoend system capable of capturing and realtime displaying of highquality lightfield video content on various HoloVizio lightfield displays, providing very high 3D image quality and continuous motion parallax. The system is compact in terms of number of computers, and provides superior image quality, resolution and frame rate compared to other published systems. To generate lightfield content, we have built a camera system with a large number of cameras and connected them to PC computers. The cameras were in an evenly spaced linear arrangement. The capture PC was directly connected through a single gigabit Ethernet connection to the demonstration 3D display, supported by a PC computation cluster. For the task of dense light field displaying massively parallel reordering and filtering of the original camera images is required. We were utilizing both CPU and GPU threads for this task. On the GPU we do the lightfield conversion and reordering, filtering and the YUVRGB conversion. We use OpenGL 3.0 shaders and 2D texture arrays to have easy access to individual camera images. A networkbased synchronization scheme is used to present the final rendered images.

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.