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Speckle-free coherent imaging through deep turbulence.

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Area of Science:

Optical imaging
Image processing
Turbulence physics

Background:

Coherent imaging techniques capture the complex optical field, providing rich information.
Deep turbulence severely degrades image quality, particularly in coherent imaging systems.
Existing methods struggle to effectively correct for severe optical distortions.

Purpose of the Study:

To develop and validate a model-based iterative reconstruction framework.
To digitally correct coherent images corrupted by deep turbulence.
To demonstrate the framework's effectiveness using multi-shot digital holography data.

Main Methods:

A model-based iterative reconstruction framework was developed.
The framework was tested using multi-shot digital holography data.
Calibrated deep-turbulence conditions were generated in a laboratory testbed.

Main Results:

Groundbreaking performance in speckle-free image correction was achieved.
The developed framework successfully corrected coherent images degraded by deep turbulence.
Demonstrated significant improvement over existing methods in severe turbulence.

Conclusions:

The model-based iterative reconstruction framework is effective for correcting deep-turbulence-induced image degradation.
The approach is broadly applicable to coherent imaging systems.
This work advances the field of optical image correction under adverse conditions.