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Updated: Feb 20, 2026

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

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Subpixel reconstruction for single-shot phase imaging with coded diffraction.

Ryoichi Horisaki, Taichi Kojima, Kyoji Matsushima

|October 20, 2017

Summary

This summary is machine-generated.

We developed a new algorithm for subpixel resolution in diffractive imaging. This method uses coded diffraction and compressive sensing for high-speed, high-sensitivity imaging with basic sensors.

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Area of Science:

Diffractive imaging
Computational imaging
Optical physics

Background:

Traditional imaging systems are limited by sensor resolution.
Diffractive imaging offers potential for high-resolution reconstruction.
Existing methods often require multiple measurements or complex setups.

Purpose of the Study:

To achieve subpixel resolution in single-shot diffractive imaging.
To enable high-speed and high-sensitivity imaging applications.
To utilize image sensors with lower pixel counts or larger pixel sizes.

Main Methods:

Developed a novel algorithm for complex field reconstruction.
Incorporated subpixel phase retrieval techniques.
Employed sparse regularization based on compressive sensing principles.

Main Results:

Successfully reconstructed object complex fields with subpixel resolution.
Demonstrated the algorithm's effectiveness in single-shot diffractive imaging.
Experimentally validated the method using two types of moving objects.

Conclusions:

The proposed algorithm enables super-resolution imaging in diffractive setups.
It is particularly advantageous for high-speed or low-resource imaging scenarios.
This technique expands the capabilities of standard image sensors for advanced imaging.