High spatial resolution spectral imaging based on amplitude-phase joint modulation metasurfaces using a global...

Area of Science:

• Optics and Photonics
• Materials Science
• Computational Imaging

Background:

• Conventional spectral imaging faces limitations in size, cost, and speed.
• Metasurface-based spectral imaging offers miniaturization but struggles with spatial resolution due to periodic elements.
• Guided resonance in metasurfaces often requires numerous periodic elements, reducing spectral imaging resolution.

Purpose of the Study:

• To develop a compact, miniaturized spectrometer using an aperiodic metasurface.
• To enhance spatial resolution in spectral imaging compared to existing metasurface approaches.
• To achieve high-precision spectral recovery with improved imaging speed and noise robustness.

Main Methods:

• Design of an aperiodic metasurface with amplitude and phase modulation for spectral encoding.
• Optimization of metasurface layout using a genetic algorithm for low correlation and small footprint.
• Application of a deep learning reconstruction algorithm for spectral recovery.

Main Results:

• Demonstrated a compact spectral encoder with significantly improved spatial resolution.
• Achieved high-precision spectral recovery across the visible spectrum (400-700 nm).
• Successfully reconstructed both narrowband and broadband spectra with high fidelity.

Conclusions:

• The proposed aperiodic metasurface spectrometer offers a novel approach for hyperspectral imaging.
• This method significantly improves spatial resolution, noise robustness, and imaging speed.
• The technology holds promise for advanced spectral imaging applications requiring miniaturization and high performance.