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Proceedings Paper

Adaptive uniform grayscale coded aperture design for high dynamic range compressive spectral imaging
Author(s): Nelson Diaz; Hoover Rueda; Henry Arguello
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Paper Abstract

Imaging spectroscopy is an important area with many applications in surveillance, agriculture and medicine. The disadvantage of conventional spectroscopy techniques is that they collect the whole datacube. In contrast, compressive spectral imaging systems capture snapshot compressive projections, which are the input of reconstruction algorithms to yield the underlying datacube. Common compressive spectral imagers use coded apertures to perform the coded projections. The coded apertures are the key elements in these imagers since they define the sensing matrix of the system. The proper design of the coded aperture entries leads to a good quality in the reconstruction. In addition, the compressive measurements are prone to saturation due to the limited dynamic range of the sensor, hence the design of coded apertures must consider saturation. The saturation errors in compressive measurements are unbounded and compressive sensing recovery algorithms only provide solutions for bounded noise or bounded with high probability. In this paper it is proposed the design of uniform adaptive grayscale coded apertures (UAGCA) to improve the dynamic range of the estimated spectral images by reducing the saturation levels. The saturation is attenuated between snapshots using an adaptive filter which updates the entries of the grayscale coded aperture based on the previous snapshots. The coded apertures are optimized in terms of transmittance and number of grayscale levels. The advantage of the proposed method is the efficient use of the dynamic range of the image sensor. Extensive simulations show improvements in the image reconstruction of the proposed method compared with grayscale coded apertures (UGCA) and adaptive block-unblock coded apertures (ABCA) in up to 10 dB.

Paper Details

Date Published: 10 May 2016
PDF: 9 pages
Proc. SPIE 9860, Hyperspectral Imaging Sensors: Innovative Applications and Sensor Standards 2016, 98600A (10 May 2016); doi: 10.1117/12.2224378
Show Author Affiliations
Nelson Diaz, Univ. Industrial de Santander (Colombia)
Hoover Rueda, Univ. of Delaware (United States)
Henry Arguello, Univ. Industrial de Santander (Colombia)


Published in SPIE Proceedings Vol. 9860:
Hyperspectral Imaging Sensors: Innovative Applications and Sensor Standards 2016
David P. Bannon, Editor(s)

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