no code implementations • 7 Mar 2014 • Simeon Kamdem Kuiteing, Giulio Coluccia, Alessandro Barducci, Mauro Barni, Enrico Magli
Compressed Sensing (CS) is suitable for remote acquisition of hyperspectral images for earth observation, since it could exploit the strong spatial and spectral correlations, llowing to simplify the architecture of the onboard sensors.
no code implementations • 8 Oct 2013 • Giulio Coluccia, Diego Valsesia, Enrico Magli
On one hand, it allows to enforce a set of constraints to drive the reconstruction algorithm towards a smooth solution, imposing the similarity of block borders.
no code implementations • 4 Oct 2013 • Giulio Coluccia, Enrico Magli
The use of CS in such setting raises the problem of reconstructing a very high number of samples, as are contained in an image, from their linear projections.