Efficient single-pixel multispectral imaging via non-mechanical spatio-spectral modulation

Abstract

Combining spectral imaging with compressive sensing (CS) enables efficient data acquisition by fully utilizing the intrinsic redundancies in natural images. Current compressive multispectral imagers, which are mostly based on array sensors (e.g, CCD or CMOS), suffer from limited spectral range and relatively low photon efficiency. To address these issues, this paper reports a multispectral imaging scheme with a single-pixel detector. Inspired by the spatial resolution redundancy of current spatial light modulators (SLMs) relative to the target reconstruction, we design an all-optical spectral splitting device to spatially split the light emitted from the object into several counterparts with different spectrums. Separated spectral channels are spatially modulated simultaneously with individual codes by an SLM. This no-moving-part modulation ensures a stable and fast system, and the spatial multiplexing ensures an efficient acquisition. A proof-of-concept setup is built and validated for 8-channel multispectral imaging within 420~720 nm wavelength range on both macro and micro objects, showing a potential for efficient multispectral imager in macroscopic and biomedical applications.

Image watermarking and fusion based on Fourier single-pixel imaging with weighed light source

“…SPI has been applied in the field of full-color compressive imaging [40] and even multi-spectral imaging [41]. As shown in Fig.12, we present three complementary experimental results for single-pixel full-color image watermarking.…”

Sparse representation of visual data for compression and compressed sensing

“…The original work reports acceptable image quality from 1300 measurements, which is 50 times less than the Nyquist rate. The single pixel camera has been extended to accommodate active illumination [335], multispectral imaging [336,337], video capture [338], microscopy [339], and terahertz imaging [340]. Another important application of compressed sensing in imaging is MRI, which was first introduced in [26].…”

Computational Ghost Imaging with Multiplexed Time-Varying Signals

“…Till date, GI has been used in various frequency bands [4][5][6][7][8] and is particularly beneficial [8] at certain nonvisible wavelength ranges. Moreover, this technology has been used in the fields of microscopy [8], remote sensing [9,10], threedimensional (3D) imaging [11,12], multispectral imaging [13], imaging through complex media [14,15], tomography [16,17], optical encryption [18][19][20][21], solving image distortion caused by uneven spatial distribution [22], and introduction calculation time [23].…”