Single-pixel imaging by means of Fourier spectrum acquisition

Abstract

Single-pixel imaging techniques enable to capture a scene without a direct line of sight to the object, but high-quality imaging has been proven challenging especially in the presence of noisy environmental illumination. Here we present a single-pixel imaging technique that can achieve high-quality images by acquiring their Fourier spectrum. We use phase-shifting sinusoid structured illumination for the spectrum acquisition. Applying inverse Fourier transform to the obtained spectrum yields the desired image. The proposed technique is capable of capturing a scene without a direct view of it. Thus, it enables a feasible placement of detectors, only if the detectors can collect the light signals from the scene. The technique is also a compressive sampling like approach, so it can reconstruct an image from sub-Nyquist measurements. We experimentally obtain clear images by utilizing a detector not placed in direct view of the imaged scene even with noise introduced by environmental illuminations. Single-pixel imaging can capture a scene without a direct line of sight to the object but high-quality imaging has proven challenging. Here, by acquiring their Fourier spectrum, Zhang et al. demonstrate indirect, high-quality single-pixel imaging in the presence of noisy environmental illumination.

The authors' abstract, as published at the source. Nature Communications, 2015 · DOI ↗