13 June 2014 Local imaging from global measurements applied to selective-spectral imaging
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Abstract
In this paper we describe the algorithm for local image reconstructions from global measurements on the Focal Plane Array (FPA). The global measurements may come from a multiplexed imaging and /or convolution-based sampling model. The algorithm consists of scanning a rectangular segment on the FPA data and reconstructing the image on that segment using a modified Wiener Filter by adapting the measurements on the data via a linear operator. This method is essential in the reconstruction of large format images from large data samples. In particular, in this paper the method is applied to multiplexed, multispectral imaging from a single measurement on the FPA.
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Johann Veras, Robert R. Muise, David Twede, "Local imaging from global measurements applied to selective-spectral imaging", Proc. SPIE 9088, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XX, 90881B (13 June 2014); doi: 10.1117/12.2049314; https://doi.org/10.1117/12.2049314
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