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X-ray Imaging

X-ray Imaging

German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with...

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Updated: Dec 3, 2025

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

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100,000 frames-per-second compressive imaging with a conventional rolling-shutter camera by random

Gil Weinberg, Ori Katz

|October 29, 2020

Summary

This summary is machine-generated.

This study presents a new method for high frame-rate video capture exceeding 100,000 frames per second using standard cameras and a diffuser. The technique reconstructs video from a single image using compressed sensing, enabling ultra-fast imaging.

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Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

Area of Science:

Optics and Photonics
Computational Imaging
Video Technology

Background:

Conventional cameras have limitations in capturing high-speed events due to slow frame rates.
Rolling-shutter mechanisms, while common, offer high sampling rates that can be exploited for advanced imaging.

Purpose of the Study:

To develop a cost-effective method for achieving ultra-high frame-rate video capture (over 100,000 fps).
To leverage existing camera hardware and compressive sampling principles for high-speed imaging.

Main Methods:

Utilized a diffuser in the pupil plane of a conventional camera to randomly encode the field-of-view.
Employed a compressive-sampling acquisition scheme with the rolling-shutter readout.
Applied a compressed-sensing reconstruction algorithm to recover video from a single captured frame.

Main Results:

Demonstrated video acquisition at frame rates exceeding 100,000 frames per second.
Maintained diffraction-limited resolution throughout the imaging process.
Successfully reconstructed short videos from single-frame data.

Conclusions:

The proposed approach enables ultra-high frame-rate video capture using standard imaging systems.
This method offers a practical and accessible solution for high-speed scientific visualization.
Exploiting rolling-shutter sampling and compressive sensing opens new possibilities in fast imaging applications.