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<p>The features of infrared image such as less details and low SNR become bottleneck of infrared image application. This paper mainly focuses on research of super-resolution restoration algorithm of infrared image based on reflective infrared micro-scanning optical system. Aiming at solving super-resolution restoration problem of infrared image, self-supervised super resolution restoration algorithm is proposed and optimized. Meanwhile, reflective infrared micro-scanning optical system is introduced to break theoretical limit of simple image processing algorithm. And performance of infrared image super-resolution restoration is improved.</p>

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Research on self-supervised super resolution restoration algorithm based on reflective micro-scanning optical system

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月9日

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  • Jian Chen,
  • Yuwei Wang,
  • Xin Ye,
  • Mo Chen,
  • Qun Zhou

摘要

The features of infrared image such as less details and low SNR become bottleneck of infrared image application. This paper mainly focuses on research of super-resolution restoration algorithm of infrared image based on reflective infrared micro-scanning optical system. Aiming at solving super-resolution restoration problem of infrared image, self-supervised super resolution restoration algorithm is proposed and optimized. Meanwhile, reflective infrared micro-scanning optical system is introduced to break theoretical limit of simple image processing algorithm. And performance of infrared image super-resolution restoration is improved.