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In this communication, an introductory review of physics informed techniques for computational imaging problems is presented, showing the potential to solve complex computational imaging tasks by introducing prior knowledge of the mathematical constraints and laws of physics, ensuring physics-consistent solutions using deep learning.

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Physics-Informed Deep Learning in Computational Imaging: An Introductory Approach

  • 会议论文

  • 发表日期：

    2026年

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  • Filiberto Pla,
  • Bahram Javidi

摘要

In this communication, an introductory review of physics informed techniques for computational imaging problems is presented, showing the potential to solve complex computational imaging tasks by introducing prior knowledge of the mathematical constraints and laws of physics, ensuring physics-consistent solutions using deep learning.