基于块的全息图像传感
Patch-Based Holographic Image Sensing
摘要：
当存储的数据分组以任意顺序可用时，数据的全息表示使得分布式存储具有渐进的细化。在本文中，我们提出并测试了基于块变换编码的图像数据全息传感。我们的建议是优化的渐进式恢复下的随机顺序检索存储的数据。图像块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$\ell_2$规范方面的最佳图像恢复。性能仅取决于到目前为止已检索的数据包的数量。几种可能的选择，以提高恢复的质量，同时改变数据包的大小和数量进行了讨论和测试。这使我们研究几个有趣的比特分配和率失真的权衡，突出显示了一组自然图像与合奏估计的统计特性。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
