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Computational polarization imaging from a single speckle image.

Julien Fade1, Muriel Roche, Mehdi Alouini

  • 1Institut de Physique de Rennes, Université de Rennes 1, CNRS, Rennes, France. julien.fade@univ-rennes1.fr

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Summary
This summary is machine-generated.

This study introduces a new computational imaging method to measure the degree of polarization (DOP) from a single image. This technique accurately estimates DOP, even for birefringent samples, offering a simpler alternative to existing polarimetric methods.

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Area of Science:

  • Optical Imaging
  • Computational Photography
  • Polarimetry

Background:

  • Measuring the degree of polarization (DOP) is crucial for various optical applications.
  • Existing polarimetric imaging techniques can be complex and may not perform well on all sample types.

Purpose of the Study:

  • To demonstrate a novel computational method for imaging the degree of polarization (DOP) from a single intensity image.
  • To validate the accuracy and applicability of this method across different experimental samples.

Main Methods:

  • Acquisition of a single intensity image under coherent illumination.
  • Analysis of speckle characteristics within statistically homogeneous pixel neighborhoods.
  • A simple calibration step for quantitative DOP estimation.

Main Results:

  • Successful experimental demonstration of DOP imaging from a single intensity image.
  • Accurate DOP estimation with precision matching theoretical predictions across various samples.
  • The method's validity on birefringent samples, outperforming linear polarimetric contrast imaging.

Conclusions:

  • A single-intensity-image-based computational technique enables effective DOP imaging.
  • This method offers a simple, fast, and accurate approach for DOP measurement, applicable to birefringent materials.
  • The technique provides a valuable alternative to traditional polarimetric imaging methods.