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Multiview image and depth map coding for holographic TV system

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2014

Year

Abstract

A holographic TV system based on multiview image and depth map coding and the analysis of coding noise effects in reconstructed images is proposed. A major problem for holographic TV systems is the huge amount of data that must be transmitted. It has been shown that this problem can be solved by capturing a three-dimensional scene with multiview cameras, deriving depth maps from multiview images or directly capturing them, encoding and transmitting the multiview images and depth maps, and generating holograms at the receiver side. This method shows the same subjective image quality as hologram data transmission with about 1/97000 of the data rate. Speckle noise, which masks coding noise when the coded bit rate is not extremely low, is shown to be the main determinant of reconstructed holographic image quality.