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Sparse representations of dynamic scenes for compressive spectral video sensing
2016
Dyna
The coded aperture snapshot spectral imager (CASSI) is an optical architecture that captures spectral images using compressive sensing. This system improves the sensing speed and reduces the large amount of collected data given by conventional spectral imaging systems. In several applications, it is necessary to analyze changes that occur between short periods of time. This paper first presents a sparsity analysis for spectral video signals, to obtain accurate approximations and better comply
doi:10.15446/dyna.v83n195.47873
fatcat:fty4tgnmazhczjlcxfwycq7cmy