eess.IV

eess.IV - 2023-11-05

Flexible uniform-sampling foveated Fourier single-pixel imaging

  • paper_url: http://arxiv.org/abs/2311.02646
  • repo_url: None
  • paper_authors: Huan Cui, Jie Cao, Qun Hao, Haoyu Zhang, Chang Zhou
  • for: The paper aims to achieve high-quality single-pixel imaging (SPI) using fewer measurements, which is essential for real-time SPI applications.
  • methods: The proposed method, called uniform-sampling foveated FSI (UFFSI), utilizes three features: uniform sampling, effective sampling, and flexible fovea. These features reduce data redundancy, transform non-uniform sampling into uniform sampling, and achieve under-sampling high-efficiency and high-quality SPI.
  • results: Experimental results show that UFFSI with 255341 cells and 89% reduction in data redundancy can achieve significantly better imaging quality than traditional high-resolution FSI with 1024768 pixels, while reducing the number of measurements required. This breakthrough may pave the way for future real-time SPI applications.Here’s the simplified Chinese text for the three key points:
  • for: 这个论文目的是实现 fewer measurements 的高质量单像素成像 (SPI)，这对实时 SPI 应用非常重要。
  • methods: 提议的方法是 uniform-sampling foveated FSI (UFFSI)，它利用了三个特点：uniform sampling、effective sampling 和 flexible fovea。这些特点可以减少数据纠缠、将非uniform sampling 转换为 uniform sampling，并实现 under-sampling 高效率高质量 SPI。
  • results: 实验结果表明，UFFSI WITH 255*341 cells 和 89% 的数据纠缠减少，可以在大规模场景中实现高质量 SPI，而不需要如传统高分辨 FSI 的多个数据。这种突破可能会对未来实时 SPI 应用产生深见。
    Abstract Fourier single-pixel imaging (FSI) is a data-efficient single-pixel imaging (SPI). However, there is still a serious challenge to obtain higher imaging quality using fewer measurements, which limits the development of real-time SPI. In this work, a uniform-sampling foveated FSI (UFFSI) is proposed with three features, uniform sampling, effective sampling and flexible fovea, to achieve under-sampling high-efficiency and high-quality SPI, even in a large-scale scene. First, by flexibly using the three proposed foveated pattern structures, data redundancy is reduced significantly to only require high resolution (HR) on regions of interest (ROIs), which radically reduces the need of total data number. Next, by the non-uniform weight distribution processing, non-uniform spatial sampling is transformed into uniform sampling, then the fast Fourier transform is used accurately and directly to obtain under-sampling high imaging quality with further reduced measurements. At a sampling ratio of 0.0084 referring to HR FSI with 1024*768 pixels, experimentally, by UFFSI with 255*341 cells of 89% reduction in data redundancy, the ROI has a significantly better imaging quality to meet imaging needs. We hope this work can provide a breakthrough for future real-time SPI.
    摘要 富含单个像素成像（FSI）是一种数据效率高的单个像素成像（SPI）。然而，在使用更少测量时，获得更高质量成像仍然是一个严重挑战，这限制了实时SPI的发展。在这种工作中，我们提出了一种固定样式的均匀抽象抽象（UFFSI），具有三个特点：均匀采样、有效采样和灵活覆盖。通过使用这三种提议的覆盖模式，减少了数据繁殖，只需要在关键区域（ROI）中高分辨率（HR），从而减少了总数据量。然后，通过非均匀权重分布处理，将非均匀的空间采样转换为均匀采样，然后使用快速傅立叶变换，直接获得减少测量的高质量成像。在0.0084的抽象比例（HR FSI）下，实验证明，使用UFFSI的255*341个细胞，可以减少数据繁殖的89%，ROI中的成像质量得到明显改善。我们希望这种工作可以为未来实时SPI提供一个突破。