Compact Snapshot Spectral Imaging with Calibration-Free Aperture Diffraction

2026-08-29

AI Summary

为解决SSI复杂系统和重复校准问题，提出一种无需校准的紧凑型光谱成像方法ADIS，并通过ODAUVST框架实现全分辨率重建。

Abstract

Snapshot Spectral Imaging (SSI) provides high-dimensional temporal-spatial-spectral observation to uncover intrinsic physical characteristics. However, its complex system and repetitive calibration requirements hinder edge applications. Here, we propose a compact, cost-effective, calibration-free SSI method, Aperture Diffraction Imaging Spectrometer (ADIS), which consists only of a diffractive lens with a binary mask and a Bayer-filtered sensor, requiring no additional physical footprint compared to standard RGB cameras. ADIS disperses and multiplexes wavelengths, mapping energy to distinct sensor locations, enabling full-resolution recovery from superpixel-level encodings. ADIS directly leverages theoretically computed PSFs to enable calibration-free spectral reconstruction, while tolerating lens-dependent variations across different optical configurations and bridging the gap between simulation and reality. To achieve SSI by solving a sparsely-constrained inverse problem, we introduce the Orthogonal Diffraction-Aware Unfolding Framework (ODAUF) with Voxel Shift Transformer (VST) for improved orthogonal diffraction perception. Integrating VST into ODAUF forms the efficient Orthogonal Diffraction-Aware Unfolding Voxel Shift Transformer (ODAUVST), delivering excellent recovery and reduced parameters. By elaborating on theory, systematic and comprehensive comparing, and demonstrating real SSI results, we validate the superiority of ADIS, achieving calibration-free full-resolution SSI within a commercial camera footprint.

Problem

• Snapshot Spectral Imaging
• calibration requirements
• edge applications

Innovation

• Aperture Diffraction Imaging Spectrometer (ADIS)
• calibration-free
• Orthogonal Diffraction-Aware Unfolding Framework (ODAUF)
• Voxel Shift Transformer (VST)