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Compression Ratio Design in Compressive Spectral Imaging

Authors: Jeison Marin; Leonardo Betancur; Henry Arguello;

Compression Ratio Design in Compressive Spectral Imaging

Abstract

In this work, a compression strategy for Focal Plane Array Measurements (FPA_M) in Compressive Spectral Imaging (CSI) is presented. The strategy is applied to four CSI architectures. The implementation consists of two stages: transformation and coding. The transformation stage is performed according to the FPA_M structure. Finally, an arithmetic coding is applied.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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