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DeepLSR: a deep learning approach for laser speckle reduction.

Taylor L Bobrow1, Faisal Mahmood1, Miguel Inserni1

  • 1Department of Biomedical Engineering, Johns Hopkins University (JHU), Baltimore, MD 21218, USA.

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DeepLSR, an adversarial deep learning framework, significantly reduces laser speckle noise in imaging. This method enhances image quality for applications requiring high-resolution imaging with coherent light sources.

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Area of Science:

  • Biomedical Optics
  • Artificial Intelligence in Imaging
  • Image Processing

Background:

  • Speckle artifacts degrade image quality in coherent imaging modalities like OCT, microscopy, ultrasound, and laser-based widefield imaging.
  • Developing effective methods for laser speckle reduction is crucial for improving image quality and enabling new applications.

Purpose of the Study:

  • To introduce DeepLSR, an adversarial deep learning framework for laser speckle reduction.
  • To evaluate DeepLSR's performance in transforming laser-illuminated images to a speckle-free domain.
  • To compare DeepLSR's efficacy against existing speckle reduction techniques.

Main Methods:

  • An adversarial deep learning framework (DeepLSR) was developed to transform coherent, laser-illuminated images to a speckle-free, incoherent illumination domain.
  • The method was applied to widefield images of objects and gastrointestinal tissues illuminated with multi-wavelength lasers.
  • Light emitting diode (LED)-illuminated images served as ground truth for training and evaluation.

Main Results:

  • DeepLSR achieved a 6.4 dB reduction in laser speckle noise for gastrointestinal tissue images.
  • This performance surpasses optimized non-local means (2.9 dB), BM3D (3.0 dB), and oscillating diffuser methods (3.7 dB).
  • Combining DeepLSR with optical speckle reduction further reduced noise by 9.4 dB.

Conclusions:

  • DeepLSR offers a powerful solution for laser speckle reduction, significantly outperforming conventional methods.
  • The framework's ability to generate high-quality, speckle-free images holds promise for advanced imaging applications.
  • This technology could enable the use of compact coherent light sources in demanding applications like medical endoscopy.