Spatially multiplexed multi-input-multi-output optical imaging system in a turbid, turbulent atmosphere

Area of Science:

• Optical Engineering
• Atmospheric Optics
• Image Processing

Background:

• Active optical imaging offers higher resolution than radio frequency methods.
• Atmospheric conditions like scattering and turbulence degrade image quality by distorting the point spread function (PSF).

Purpose of the Study:

• To design and analyze a spatially multiplexed multi-input-multi-output (MIMO) active optical imaging system.
• To model and mitigate image degradation caused by atmospheric scattering and turbulence.

Main Methods:

• A computer-generated holographic beam splitter creates multiple beamlets for uniform illumination.
• A Monte Carlo ray-tracing algorithm models scattering in turbid media.
• Phase screens simulate turbulence-induced wavefront distortions.
• Restoration techniques including adaptive optics, blind deconvolution, and time gating are applied.

Main Results:

• The developed framework comprehensively models atmospheric degradation sources.
• System performance is evaluated under various meteorological conditions.
• Restoration techniques significantly improve image contrast, sharpness, and resolution.

Conclusions:

• The proposed spatially multiplexed MIMO system effectively addresses atmospheric challenges in active optical imaging.
• The integrated modeling and restoration framework enhances the feasibility of high-quality imaging through atmospheric disturbances.