Differential Coded Aperture Single-Snapshot Spectral Imaging

TL;DR

This paper introduces a differential coded aperture snapshot spectral imaging (D-CASSI) method that uses complementary random masks and compressed sensing to improve hyperspectral image reconstruction in a single snapshot.

Contribution

It presents a novel D-CASSI technique employing {-1,+1} masks and dual encoding to enhance spectral imaging without modifying optical hardware.

Findings

Significant improvement in hyperspectral scene reconstruction fidelity.

Dual encoding with complementary masks outperforms independent patterns.

Simulation results validate the effectiveness of the proposed method.

Abstract

We propose a novel concept of differential coded aperture snapshot spectral imaging (D-CASSI) technique exploiting the benefits of using {-1,+1} random mask, which is demonstrated by a broadband single-snapshot hyperspectral camera using compressed sensing. To double the information, we encode the image by two complementary random masks, which proved to be superior to two independent patterns. We utilize dispersed and non-dispersed encoded images captured in parallel onto a single detector. We explored several different approaches to processing the measured data, which demonstrates significant improvement in retrieving complex hyperspectral scenes. The experiments were completed by simulations in order to quantify the reconstruction fidelity. The concept of differential CASSI could be easily implemented also by multi-snapshot CASSI without any need for optical system modification.