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.

Ghost Imaging Using Optical Correlations

“…The approach also opens options for hyperspectral imaging, in which multiple single‐pixel detectors operating with different wavelength sensitivities can be incorporated into the same camera system . In addition, it has been demonstrated that a single‐pixel camera allows the imaging of a scene with a detector that is not placed in direct view of the object . Finally, the high temporal‐resolution of single‐pixel detectors, compared to focal plane arrays, means that when combined with stroboscopic illumination, it is possible to obtain depth information from the scene, effectively creating an imaging LIDAR …”

Hyperspectral imaging using the single-pixel Fourier transform technique

“…This method either takes a long time or sacrifices detection sensitivity. In some single-pixel hyperspectral imaging systems, Fourier transform techniques are used as structured light modulation and signal temporal modulation to exceed the diffraction limit and multiplex 3D data3637383940. However, the advantages of a Fourier transform in spectral modulation are far from being explored.…”

High Speed Computational Ghost Imaging via Spatial Sweeping

“…Due to the intrinsic trading-time-for-spatial-resolvability mechanism of single-pixel imaging, the imaging speed and quality of ghost imaging is closely related to the number of illumination patterns for encoding the scene information, given a specific spatial resolution. To raise the imaging speed and quality, researchers have made great efforts to suppress sensor noise45 or optimize the reconstruction algorithm6789. Differently, other researchers utilize the information from spatial structure of the target scene to project scene adaptive patterns10.…”