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Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

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Published on: March 20, 2017

Color-resolved light field shaping via diffractive-electronic U-shape network with wavelength-aware virtual

Yuheng Zong¹, Huaiping Jin¹, Hao Fang¹

¹Faculty of Information Engineering and Automation, Kunming University of Science and Technology (KUST), Kunming, 650500, Yunnan, China; The Higher Educational Key Laboratory for Industrial Intelligence and Systems of Yunnan Province, Kunming University of Science and Technology (KUST), Kunming, 650500, Yunnan, China.

Neural Networks : the Official Journal of the International Neural Network Society

|December 27, 2025

Summary

This summary is machine-generated.

This study introduces a hybrid diffractive-electronic neural network for real-time color light field shaping. The system effectively corrects dynamic spatial distortions, enabling stable, high-fidelity color patterns for advanced optical applications.

Keywords:

Diffractive-electronic hybrid neural network Dynamic distortion correction Optical computing U-shape neural network

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Area of Science:

Optics and Photonics
Artificial Intelligence
Computational Imaging

Background:

Dynamic spatial distortions challenge stable optical field shaping, especially for color patterns.
Current techniques, including diffractive optical neural networks, are limited to monochromatic targets and struggle with temporal variations.

Purpose of the Study:

To develop a novel diffractive-electronic hybrid neural network for real-time, color light field shaping.
To address limitations in spectral generalization and temporal stability in existing beam shaping methods.

Main Methods:

Introduced a wavelength-aware virtual branching (WAVB) mechanism for spectral generalization.
Integrated a spectrally conditioned U-shape network with frequency-selective skip connections (FSSC).
Developed an all-optical-driven optical flow prediction module for temporal coherence.

Main Results:

Achieved real-time operation at 50Hz for color light field shaping.
Demonstrated robust, frame-stable shaping across diverse spatial and temporal distortion scenarios.
The hybrid network successfully adapted to wavelength-specific shaping and preserved inter-channel dependencies.

Conclusions:

The proposed system offers a scalable framework for intelligent, adaptive optical imaging.
Enables robust, real-time color light field shaping, overcoming limitations of previous methods.
Presents promising applications in dynamic holography, laser displays, and computational optical imaging.