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Proceedings Paper

Real-time compact multispectral imaging solutions using dichroic filter arrays
Author(s): Eric V. Chandler; David E. Fish; Karin J. Evanson
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Paper Abstract

The next generation of multispectral sensors and cameras will need to deliver significant improvements in size, weight, portability, and spectral band customization to support widespread commercial deployment. The benefits of multispectral imaging are well established for applications including machine vision, biomedical, authentication, and aerial remote sensing environments – but many OEM solutions require more compact, robust, and cost-effective production cameras to realize these benefits. A novel implementation uses micro-patterning of dichroic filters into Bayer and custom mosaics, enabling true real-time multispectral imaging with simultaneous multi-band image acquisition. Consistent with color camera image processing, individual spectral channels are de-mosaiced with each channel providing an image of the field of view. We demonstrate recent results of 4-9 band dichroic filter arrays in multispectral cameras using a variety of sensors including linear, area, silicon, and InGaAs. Specific implementations range from hybrid RGB + NIR sensors to custom sensors with application-specific VIS, NIR, and SWIR spectral bands. Benefits and tradeoffs of multispectral sensors using dichroic filter arrays are compared with alternative approaches – including their passivity, spectral range, customization options, and development path. Finally, we report on the wafer-level fabrication of dichroic filter arrays on imaging sensors for scalable production of multispectral sensors and cameras.

Paper Details

Date Published: 4 March 2014
PDF: 6 pages
Proc. SPIE 9022, Image Sensors and Imaging Systems 2014, 90220K (4 March 2014); doi: 10.1117/12.2040650
Show Author Affiliations
Eric V. Chandler, Pixelteq, Inc. (United States)
David E. Fish, Pixelteq, Inc. (United States)
Karin J. Evanson, Pixelteq, Inc. (United States)


Published in SPIE Proceedings Vol. 9022:
Image Sensors and Imaging Systems 2014
Ralf Widenhorn; Antoine Dupret, Editor(s)

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