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Related Experiment Video

Updated: Jun 16, 2026

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

Published on: March 12, 2019

Optical through-turbulence imaging configuration: experimental validation.

Elnatan Grossman¹, Rami Tzioni, Aviram Gur

¹1School of Engineering, Bar Ilan University, Ramat Gan 52900, Israel.

|February 18, 2010

Summary

This summary is machine-generated.

This study validates an imaging system that enhances image quality despite atmospheric turbulence. It uses a novel algorithm with three images to reconstruct clear object details.

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Last Updated: Jun 16, 2026

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

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Published on: March 12, 2019

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Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow

Published on: February 27, 2016

Area of Science:

Optical imaging
Image processing
Atmospheric optics

Background:

Turbulence degrades imaging quality, limiting remote sensing and astronomical observations.
Phase retrieval algorithms are crucial for correcting optical aberrations.
Existing methods often require complex setups or lack real-world validation.

Purpose of the Study:

To experimentally validate a novel imaging system for improved image quality through turbulence.
To demonstrate the effectiveness of a Gerchberg-Saxton based phase retrieval algorithm in a field setting.
To reconstruct object intensity from aberrated, multi-focused images.

Main Methods:

Simultaneous capture of three images with different focal planes.
Iterative Gerchberg-Saxton algorithm for phase retrieval.
Numerical free-space propagation for object intensity reconstruction.

Main Results:

Successful field experimental validation of the proposed imaging system.
Demonstrated significant improvement in imaging quality under turbulent conditions.
Accurate reconstruction of object intensity from processed images.

Conclusions:

The developed imaging system and algorithm effectively overcome turbulence-induced image degradation.
This approach offers a robust solution for high-quality imaging in challenging atmospheric environments.
The validated system has potential applications in remote sensing and astronomical imaging.