Scholarlink

<p>Underwater optical imaging is fundamentally limited by strong absorption and scattering, which degrade image contrast and restrict detection range. Ghost imaging (GI), which reconstructs objects through second-order intensity correlation, has emerged as a powerful alternative capable of maintaining image quality in turbid and turbulent environments where conventional imaging fails. This review systematically examines recent progress in underwater GI, focusing on two primary strategies for enhancing its performance. The first one is speckle engineering, including orthogonal patterns, laser mode modulation, and pseudo-Bessel-ring beams. The second one is propagation-model-based reconstruction, ranging from physical degradation compensation to deep learning and self-supervised frameworks. Despite significant advances, challenges remain in imaging speed, range-fidelity trade-offs, and generalization to diverse underwater conditions. Future trends point toward hardware acceleration, physics-informed learning, multi-modal integration with sonar and polarization sensing, and applications in deep-sea exploration, infrastructure inspection, and covert surveillance. As real-time capabilities and system robustness develop, underwater GI is poised to become a cornerstone technology for next-generation oceanic exploration.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Review on Underwater Ghost Imaging: Seeing Through Harsh Media with Correlated Light

  • 期刊论文

  • 发表日期：

    2026年8月5日

查看全文
  • Annan Xia,
  • Karolina Rychert,
  • Qingyang Zhu,
  • Yi Hao,
  • Hong Ye,
  • Qian Li,
  • Małgorzata Szczerska,
  • H. Y. Fu

摘要

Underwater optical imaging is fundamentally limited by strong absorption and scattering, which degrade image contrast and restrict detection range. Ghost imaging (GI), which reconstructs objects through second-order intensity correlation, has emerged as a powerful alternative capable of maintaining image quality in turbid and turbulent environments where conventional imaging fails. This review systematically examines recent progress in underwater GI, focusing on two primary strategies for enhancing its performance. The first one is speckle engineering, including orthogonal patterns, laser mode modulation, and pseudo-Bessel-ring beams. The second one is propagation-model-based reconstruction, ranging from physical degradation compensation to deep learning and self-supervised frameworks. Despite significant advances, challenges remain in imaging speed, range-fidelity trade-offs, and generalization to diverse underwater conditions. Future trends point toward hardware acceleration, physics-informed learning, multi-modal integration with sonar and polarization sensing, and applications in deep-sea exploration, infrastructure inspection, and covert surveillance. As real-time capabilities and system robustness develop, underwater GI is poised to become a cornerstone technology for next-generation oceanic exploration.