JOURNAL ARTICLE

Snapshot Compressive ToF+Spectral Imaging via Optimized Color-Coded Apertures

Hoover Rueda-ChacónJuan F. Florez-OspinaDaniel L. LauGonzalo R. Arce

Year: 2019 Journal:   IEEE Transactions on Pattern Analysis and Machine Intelligence Vol: 42 (10)Pages: 2346-2360   Publisher: IEEE Computer Society

Abstract

Compressive multispectral imaging systems comprise a new generation of spectral imagers that capture coded projections of a scene where spectral data cubes are reconstructed computationally. Separately, time-of-flight (ToF) cameras obtain 2D range images where each pixel records the distance from the camera sensor to the target surface. The demand for these imaging modalities is rapidly increasing, and thus, there is strong interest in developing new image sensors that can simultaneously acquire multispectral-color-and-depth imagery (MS+D) using a single aperture. Work in this path has been mainly developed via RGB+D imaging. However, in RGB+D, the multispectral image is limited to three spectral channels, and the imaging system often relies on two image sensors. We recently proposed a compressive MS+D imaging device that used a digital-micromirror-device, requiring a bulky double imaging-and-relay path. To overcome the bulkiness and other difficulties of our previous imaging system, this work presents a more-compact MS+D imaging device with snapshot capabilities. It provides better spectral sensing, relying on a static color-coded-aperture (CCA) and a ToF sensor. To guarantee good quality in the recovery, we develop an optimization method for CCA based-on blue-noise-multitoning, solved via the direct-binary-search algorithm. A testbed-setup is reported along with simulated and real experiments that demonstrate the MS+D capabilities of the proposed system over static and dynamic scenes.

Keywords:
Multispectral image Computer science Artificial intelligence Digital micromirror device Computer vision Coded aperture RGB color model Spectral imaging Image sensor Compressed sensing Pixel Optics Detector Physics Telecommunications

Metrics

42
Cited By
4.09
FWCI (Field Weighted Citation Impact)
53
Refs
0.94
Citation Normalized Percentile
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Citation History

Topics

Sparse and Compressive Sensing Techniques
Physical Sciences →  Engineering →  Computational Mechanics
Photoacoustic and Ultrasonic Imaging
Physical Sciences →  Engineering →  Biomedical Engineering
Advanced Optical Sensing Technologies
Physical Sciences →  Physics and Astronomy →  Instrumentation
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