单 像 素 成 像 中 哈 达 玛 基 掩 模 优 化 排 序 前 沿 进 展

Wenkai Yu*, Chong Cao, Ying Yang, Shuofei Wang

*此作品的通讯作者

科研成果: 期刊稿件文献综述同行评审

摘要

Single-pixel imaging applies a series of spatial light modulated patterns to subsample the target scene with the assistance of a single-pixel detector, and subsequently reconstructs the object image according to the correlation between patterns and measurements. This indirect image acquisition method ensures reconstruction quality because of the reconstruction algorithm applied, and more crucially, the measurement mask construction. With the introduction of compressed sensing theory, random patterns emerged, but making the measurements blind and lacking specificity. Such patterns fail to facilitate storage and calculation, and thus significantly limit spatial pixel resolution. Recently, Hadamard basis patterns received widespread attention owing to their structured features that enable fast computation and facilitate storage and extraction. Considering this, numerous optimized ordering methods for the Hadamard basis patterns were developed, and proven to significantly reduce the sampling ratios. This study systematically reviews the design frameworks and frontier advances of these methods, and summarizes the future development trends of deterministic pattern construction. Finally, this contribution provides a beneficial reference point including guidance for subsequent research in this specific field.

投稿的翻译标题Frontier Advances in Optimized Ordering of the Hadamard Basis Patterns Used in Single-Pixel Imaging
源语言繁体中文
文章编号0400006
期刊Laser and Optoelectronics Progress
61
4
DOI
出版状态已出版 - 25 2月 2024

关键词

  • computational imaging
  • image detection system
  • image formation theory

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