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Proceedings Paper

Demosaicking for full motion video 9-band SWIR sensor
Author(s): Andrey V. Kanaev; Marjorie Rawhouser; Mary R. Kutteruf; Michael K. Yetzbacher; Michael J. DePrenger; Kyle M. Novak; Corey A. Miller; Christopher W. Miller
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Paper Abstract

Short wave infrared (SWIR) spectral imaging systems are vital for Intelligence, Surveillance, and Reconnaissance (ISR) applications because of their abilities to autonomously detect targets and classify materials. Typically the spectral imagers are incapable of providing Full Motion Video (FMV) because of their reliance on line scanning. We enable FMV capability for a SWIR multi-spectral camera by creating a repeating pattern of 3x3 spectral filters on a staring focal plane array (FPA). In this paper we present the imagery from an FMV SWIR camera with nine discrete bands and discuss image processing algorithms necessary for its operation. The main task of image processing in this case is demosaicking of the spectral bands i.e. reconstructing full spectral images with original FPA resolution from spatially subsampled and incomplete spectral data acquired with the choice of filter array pattern. To the best of author's knowledge, the demosaicking algorithms for nine or more equally sampled bands have not been reported before. Moreover all existing algorithms developed for demosaicking visible color filter arrays with less than nine colors assume either certain relationship between the visible colors, which are not valid for SWIR imaging, or presence of one color band with higher sampling rate compared to the rest of the bands, which does not conform to our spectral filter pattern. We will discuss and present results for two novel approaches to demosaicking: interpolation using multi-band edge information and application of multi-frame super-resolution to a single frame resolution enhancement of multi-spectral spatially multiplexed images.

Paper Details

Date Published: 28 May 2014
PDF: 8 pages
Proc. SPIE 9104, Spectral Imaging Sensor Technologies: Innovation Driving Advanced Application Capabilities, 910407 (28 May 2014); doi: 10.1117/12.2051223
Show Author Affiliations
Andrey V. Kanaev, U.S. Naval Research Lab. (United States)
Marjorie Rawhouser, Tekla Research (United States)
Mary R. Kutteruf, U.S. Naval Research Lab. (United States)
Michael K. Yetzbacher, U.S. Naval Research Lab. (United States)
Michael J. DePrenger, Tekla Research (United States)
Kyle M. Novak, Tekla Research (United States)
Corey A. Miller, Tekla Research (United States)
Christopher W. Miller, Tekla Research (United States)
U.S. Naval Research Lab. (United States)


Published in SPIE Proceedings Vol. 9104:
Spectral Imaging Sensor Technologies: Innovation Driving Advanced Application Capabilities
David P. Bannon, Editor(s)

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