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A neutral atom consists of a positively charged nucleus surrounded by a negatively charged electron cloud. When placed in an external electric field, the external electric force pulls the electrons and nucleus apart, opposite to the intrinsic attraction between the nucleus and the electrons. The opposing forces balance each other with a slight shift between the center of masses of the nucleus and the electron cloud, resulting in a polarized atom. On the other hand, a few molecules, like water,...
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Updated: Aug 22, 2025

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
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Defogging Algorithm Based on Polarization Characteristics and Atmospheric Transmission Model.

Feng Ling1, Yan Zhang1, Zhiguang Shi1

  • 1National Key Laboratory of Science and Technology on Automatic Target Recognition, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China.

Sensors (Basel, Switzerland)
|November 11, 2022
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Summary
This summary is machine-generated.

This study introduces a novel polarized image defogging algorithm. It effectively removes fog by optimizing transmission maps and segmenting sky regions, significantly improving image quality and clarity in foggy conditions.

Keywords:
atmospheric transmission modelimage defoggingpolarization characteristics

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Area of Science:

  • Computer Vision
  • Image Processing

Background:

  • Fog significantly degrades optical imaging quality, reducing visibility and obscuring details.
  • Existing defogging methods often struggle with large sky regions, leading to artifacts like halos.

Purpose of the Study:

  • To develop an advanced polarized image defogging algorithm.
  • To enhance image quality and clarity in foggy environments by restoring fog-free images.

Main Methods:

  • A joint sky segmentation method using polarization, gradient, and light intensity information.
  • Estimation of global atmospheric parameters (polarization degree, light intensity).
  • Gaussian filtering for target light intensity and polarization degree estimation.
  • A three-step transmission optimization method incorporating sky segmentation to suppress halos.

Main Results:

  • Effective segmentation of sky regions and accurate estimation of atmospheric parameters.
  • Successful suppression of halo effects in large sky areas.
  • Significant improvement in average image gradient and grayscale standard deviation, indicating enhanced image quality.

Conclusions:

  • The proposed polarized image defogging algorithm offers robust performance.
  • The method effectively improves optical imaging quality in foggy scenes by restoring clear, fog-free images.