Correlation Hyperspectral Imaging

TL;DR

This paper introduces a novel hyperspectral imaging method using light intensity correlations to achieve high resolution and speed without sacrificing image quality, enabling new applications.

Contribution

The authors propose a correlation-based hyperspectral imaging technique that overcomes traditional trade-offs, offering sharper images and natural spectral filtering capabilities.

Findings

Enables high spatial and spectral resolution simultaneously.

Allows high-speed hyperspectral imaging without resolution loss.

Provides natural filtering of broadband spectral components.

Abstract

Hyperspectral imaging aims at providing information on both the spatial and the spectral distribution of light, with high resolution. However, state-of-the-art protocols are characterized by an intrinsic trade-off imposing to sacrifice either resolution or image acquisition speed. We address this limitation by exploiting light intensity correlations, which are shown to enable overcoming the typical downsides of traditional hyperspectral imaging techniques, both scanning and snapshot. The proposed approach also opens possibilities that are not otherwise achievable, such as sharper imaging and natural filtering of broadband spectral components that would otherwise hide the spectrum of interest. The enabled combination of high spatial and spectral resolution, high speed, and insensitivity to undesired spectral features shall lead to a paradigm change in hyperspectral imaging devices and open-up new application scenarios.