Infrared image and circular polarization image processing methods for high-concentration scattering environments

Area of Science:

• Optics and Photonics
• Image Processing
• Remote Sensing

Background:

• Low contrast in high-concentration scattering media obscures target object details.
• Polarization imaging offers potential for enhancing visibility in challenging environments.

Purpose of the Study:

• To develop and validate a novel polarization imaging method for enhancing image quality in high-concentration scattering media.
• To improve the visibility of surface details and textures of objects in obscured conditions.

Main Methods:

• Image registration and environmental transmittance estimation.
• Calculation of degree of polarization and polarization difference intensity.
• Contrast Limited Adaptive Histogram Equalization (CLAHE) for de-scattering, followed by edge-detection-based weighted adaptive wavelet fusion with infrared images.

Main Results:

• The proposed method significantly enhances image quality and detail visibility in high-concentration scattering environments.
• Experimental results demonstrate superior performance compared to traditional imaging approaches.
• Successful fusion of de-scattered and infrared images provides comprehensive visual information.

Conclusions:

• The developed polarization imaging technique effectively overcomes low contrast issues in scattering media.
• Combining infrared and polarized imaging provides a robust solution for challenging imaging scenarios.
• This method offers valuable insights for applications requiring high-quality imaging in turbid or occluded conditions.