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JL
Verified CAS / Academic Author2 Decoded Studies

Prof. Jaewon Lee

Kyungpook National University

Co-Affiliations:Hanyang University

Research Publications & English Decoded Briefs

Showing 2 publications
Opto-Electronic Advances (光电进展)2026DOI: 10.29026/oea.2026.250149

High-fidelity full-color self-interference incoherent digital holography via quarter-wave geometric phase optics

Self-interference incoherent digital holography (SIDH) enables three-dimensional imaging under broadband illumination without a reference arm, but conventional implementations using half-waveplate (HWP)-based geometric phase (GP) lenses suffer from triple-wavefront polarization interference. This interference arises from chromatic dispersion in phase retardation, producing color-dependent artifacts that degrade full-color reconstruction fidelity. We introduce a quarter-waveplate (QWP)-based GP lens architecture that suppresses the parasitic third wavefront by exploiting the non-diffracted beam as the reference, yielding stable dual-wavefront modulation. The resulting phase-encoded polarization interference patterns remain spectrally consistent across red, green, and blue channels. Experimental validation demonstrates substantial noise suppression and improved full-color image fidelity, quantified through channel-specific noise analysis and structural similarity metrics. The system retains a simplified optical configuration without active polarization control, supporting compact integration and cost-effective fabrication. These results establish the QWP-GP SIDH architecture as a viable route for portable, real-time digital holographic 3D imaging, with potential scalability in augmented reality, optical diagnostics, and spectral holography.

Nano-Micro Letters2025DOI: 10.1007/s40820-024-01579-y

RGB Color-Discriminable Photonic Synapse for Neuromorphic Vision System

To emulate the functionality of the human retina and achieve a neuromorphic visual system, the development of a photonic synapse capable of multispectral color discrimination is of paramount importance. However, attaining robust color discrimination across a wide intensity range, even irrespective of medium limitations in the channel layer, poses a significant challenge. Here, we propose an approach that can bestow the color-discriminating synaptic functionality upon a three-terminal transistor flash memory even with enhanced discriminating capabilities. By incorporating the strong induced dipole moment effect at the excitation, modulated by the wavelength of the incident light, into the floating gate, we achieve outstanding RGB color-discriminating synaptic functionality within a remarkable intensity range spanning from 0.05 to 40 mW cm−2. This approach is not restricted to a specific medium in the channel layer, thereby enhancing its applicability. The effectiveness of this color-discriminating synaptic functionality is demonstrated through visual pre-processing of a photonic synapse array, involving the differentiation of RGB channels and the enhancement of image contrast with noise reduction. Consequently, a convolutional neural network can achieve an impressive inference accuracy of over 94% for Canadian-Institute-For-Advanced-Research-10 colorful image recognition task after the pre-processing. Our proposed approach offers a promising solution for achieving robust and versatile RGB color discrimination in photonic synapses, enabling significant advancements in artificial visual systems.