Compressive hyper-spectral imaging in the presence of impulse noise

Abstract

There have been a number of studies for addressing the recovery of compressively sampled hyper-spectral images in the presence of Gaussian noise; this work proposes a recovery technique in the presence of impulse noise. Owing to the sparse nature of the impulse noise, the data fidelity term is an L1-norm. The hyper-spectral datacube is modeled as a… (More)
DOI: 10.1109/WHISPERS.2015.8075396

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