论文标题
基于补丁的全息图像传感
Patch-Based Holographic Image Sensing
论文作者
论文摘要
当存储的数据包以任何任意顺序提供时，数据启用分布式存储的数据启用了分布式存储。在本文中，我们提出并测试了基于斑块的转换编码图像数据的全息感测。我们的建议是在获取存储数据的随机顺序下进行了优化的，可用于进行性恢复。图像补丁的编码依赖于分布式投影的设计，以确保在每个检索阶段的$ \ ell_2 $ norm中确保最佳图像恢复。性能仅取决于到目前为止检索到的数据包的数量。讨论并测试了更改数据包的大小和数量时，可以提高恢复质量的几种可能选择。这使我们检查了几个有趣的比特分配和利率延伸折扣，这些折扣突出显示了一组具有整体估计统计特性的自然图像。
Holographic representations of data enable distributed storage with progressive refinement when the stored packets of data are made available in any arbitrary order. In this paper, we propose and test patch-based transform coding holographic sensing of image data. Our proposal is optimized for progressive recovery under random order of retrieval of the stored data. The coding of the image patches relies on the design of distributed projections ensuring best image recovery, in terms of the $\ell_2$ norm, at each retrieval stage. The performance depends only on the number of data packets that has been retrieved thus far. Several possible options to enhance the quality of the recovery while changing the size and number of data packets are discussed and tested. This leads us to examine several interesting bit-allocation and rate-distortion trade offs, highlighted for a set of natural images with ensemble estimated statistical properties.
