Speckle-free coherent imaging through deep turbulence

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.