  Hyperspectral imaging aims at providing information on both the spatial and
the spectral distribution of light, with high resolution. However,
state-of-the-art protocols are characterized by an intrinsic trade-off imposing
to sacrifice either resolution or image acquisition speed. We address this
limitation by exploiting light intensity correlations, which are shown to
enable overcoming the typical downsides of traditional hyperspectral imaging
techniques, both scanning and snapshot. The proposed approach also opens
possibilities that are not otherwise achievable, such as sharper imaging and
natural filtering of broadband spectral components that would otherwise hide
the spectrum of interest. The enabled combination of high spatial and spectral
resolution, high speed, and insensitivity to undesired spectral features shall
lead to a paradigm change in hyperspectral imaging devices and open-up new
application scenarios.
