Learned Spectral Super-Resolution

28 Mar 2017Silvano GallianiCharis LanarasDimitrios MarmanisEmmanuel BaltsaviasKonrad Schindler

We describe a novel method for blind, single-image spectral super-resolution. While conventional super-resolution aims to increase the spatial resolution of an input image, our goal is to spectrally enhance the input, i.e., generate an image with the same spatial resolution, but a greatly increased number of narrow (hyper-spectral) wave-length bands... (read more)

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