title: 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.
authors.affiliation: Department of Automation, Tsinghua University, Beijing 100084, China.
authors.forename: Ziwei
authors.initials: Z
authors.lastname: Li
authors.affiliation: Department of Automation, Tsinghua University, Beijing 100084, China.
authors.forename: Jinli
authors.initials: J
authors.lastname: Suo
authors.affiliation: Department of Automation, Tsinghua University, Beijing 100084, China.
authors.forename: Xuemei
authors.initials: X
authors.lastname: Hu
authors.affiliation: Department of Automation, Tsinghua University, Beijing 100084, China.|High-Tech Institute of Xi'an, Xi'an 710025, China.
authors.forename: Chao
authors.initials: C
authors.lastname: Deng
authors.affiliation: Department of Automation, Tsinghua University, Beijing 100084, China.
authors.forename: Jingtao
authors.initials: J
authors.lastname: Fan
authors.affiliation: Department of Automation, Tsinghua University, Beijing 100084, China.
authors.forename: Qionghai
authors.initials: Q
authors.lastname: Dai
mesh_terms: D003116:Color; D007091:Image Processing, Computer-Assisted; D008027:Light; D044446:Volvox / Q000166:cytology