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Related Experiment Video

Updated: Jun 10, 2026

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

Single exposure super-resolution compressive imaging by double phase encoding.

Yair Rivenson¹, Adrian Stern, Bahram Javidi

¹Department of Electrical and Computer Engineering, Ben-Gurion University of the Negev, P.O. Box 653, Beer-Sheva 84105, Israel. rivenson@ee.bgu.ac.il

|July 20, 2010

Summary

This summary is machine-generated.

Achieve super-resolution imaging in a single exposure using double random phase encoding and compressive sensing. This novel approach recovers images degraded by diffraction and limited resolution.

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Last Updated: Jun 10, 2026

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Area of Science:

Optics
Image Processing
Information Theory

Background:

Super-resolution imaging is crucial for enhancing image detail in various applications.
Traditional methods often require multiple exposures or complex setups.
Double random phase encoding is known for optical encryption.

Purpose of the Study:

To demonstrate single-exposure super-resolution imaging.
To integrate optical encryption techniques with compressive sensing for image recovery.
To address image degradation from diffraction and geometric limitations.

Main Methods:

Combining double random phase encoding with compressive sensing principles.
Developing a model for image recovery from degraded data.
Utilizing a single exposure acquisition scheme.

Main Results:

Successful demonstration of achieving super-resolution with a single exposure.
Effective recovery of images affected by diffraction and geometric resolution limits.
Validation of the combined optical and compressive sensing approach.

Conclusions:

The proposed method offers a novel pathway to single-exposure super-resolution.
Integration of phase encoding and compressive sensing provides a powerful tool for image restoration.
This technique has potential applications in advanced imaging systems.