Hadamard single-pixel imaging versus Fourier single-pixel imaging

TL;DR

This paper compares Hadamard and Fourier single-pixel imaging techniques, analyzing their efficiency and noise robustness to guide application-specific choices in high-quality, low-light imaging scenarios.

Contribution

The paper provides a comparative analysis of HSI and FSI, including theoretical and experimental results, highlighting their respective advantages and limitations.

Findings

FSI is more efficient than HSI.

HSI is more noise-robust than FSI.

The study offers guidelines for selecting suitable single-pixel imaging methods.

Abstract

Single-pixel imaging is an innovative imaging scheme and has received increasing attentions in recent years. It is applicable to imaging at non-visible wavelengths and imaging under low light conditions. However, single-pixel imaging has once encountered problems of low reconstruction quality and long data-acquisition time. This situation has been changed thanks to the developments of Hadamard single-pixel imaging (HSI) and Fourier single-pixel imaging (FSI). Both techniques are able to achieve high-quality and efficient imaging, remarkably improving the applicability of single-pixel imaging scheme. In this paper, we compare the performances of HSI and FSI with theoretical analysis and experiments. The results show that FSI is more efficient than HSI while HSI is more noise-robust than FSI. Our work may provide a guideline for researchers to choose suitable single-pixel imaging technique for their applications.