Abstract
Compressive light field display based on multi-layer LCDs is becoming a popular solution for 3D display. Decomposing light field into layer images is the most challenging task. Iterative algorithm is an effective solver for this high-dimensional decomposition problem. Existing algorithms, however, iterate from random initial values. As such, significant computation time is required due to the deviation between random initial estimate and target values. Real-time 3D display at video rate is difficult based on existing algorithms. In this paper, we present a new algorithm to provide better initial values and accelerate decomposition of light field video. We utilize internal coherence of single light field frame to transfer the ignorance-to-target to a much lower resolution level. In addition, we explored external coherence for further accelerating light field video and achieved 5.91 times speed improvement. We built a prototype and developed parallel algorithm based on CUDA.
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