Breaking Imaging Limits using Dithering Masks in 0.35 Terahertz Single-Pixel Imaging

TL;DR

This paper demonstrates that using dithering masks in terahertz single-pixel imaging can surpass traditional limits, enhancing resolution and signal quality through hardware and algorithmic innovations.

Contribution

It introduces a novel dithering mask technique combined with hardware implementation to improve terahertz imaging resolution and signal-to-noise ratio beyond existing theoretical limits.

Findings

Enhanced spatial resolution using dithering masks.

Simplified phase retrieval to a non-negative linear model.

Achieved near wavelength resolution in terahertz imaging.

Abstract

In this contribution, we explore the imaging limits of terahertz single-pixel cameras and present a way to improve the achievable signal-to-noise ratio and spatial resolution using a technique called dithering masks. The proposed procedure is implemented on the hardware level using recent advances in the development of spatial light modulators for terahertz single-pixel cameras. Thereby, our approach offers new ways to overcome theoretical imaging limits of near wavelength resolution. We suggest that in using dithering masks the required phase retrieval driven recovery can be simplified to a robust non-negative linear model even for near wavelength terahertz single-pixel imaging.