Over the last few years, holography has been emerging as an alternative to stereoscopic imaging since it provides users with the most realistic and comfortable three-dimensional (3D) experience. However, high-quality holograms enabling a free-viewpoint visualization contain tremendous amount of data. Therefore, a user willing to access to a remote hologram repository would face high downloading time, even with high speed networks. To reduce transmission time, a joint viewpoint-quality scalable compression scheme is proposed. At the encoder side, the hologram is first decomposed into a sparse set of diffracted light rays using Matching Pursuit over a Gabor atoms dictionary. Then, the atoms corresponding to a given user’s viewpoint are selected to form a sub-hologram. Finally, the pruned atoms are sorted and encoded according to their importance for the reconstructed view. The proposed approach allows a progressive decoding of the sub-hologram from the first received atom. Streaming simulations for a moving user reveal that our approach outperforms conventional scalable codecs such as scalable H.265 and enables a practical streaming with a better quality of experience.

中文翻译：

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使用依赖于视图的可伸缩压缩方案进行渐进式全息图传输

在过去的几年中，全息照相已成为立体成像的替代方法，因为它为用户提供了最真实，最舒适的三维（3D）体验。但是，可以实现自由视点可视化的高质量全息图包含大量数据。因此，即使使用高速网络，愿意访问远程全息图存储库的用户也将面临较高的下载时间。为了减少传输时间，提出了一种联合视点质量的可伸缩压缩方案。在编码器端，首先使用Gabor原子字典上的Matching Pursuit将全息图分解为稀疏的一组衍射光线。然后，选择与给定用户的视点相对应的原子以形成亚全息图。最后，修剪后的原子将根据其对重建视图的重要性进行分类和编码。所提出的方法允许从第一接收到的原子逐步解码亚全息图。针对移动用户的流模拟显示，我们的方法优于传统的可扩展编解码器，例如可扩展H.265，并可以提供具有更好体验质量的实用流。