Energy balance in Spectral Filter Array camera design

Multispectral imaging permits to capture more spectral information on object surface properties than color imaging. This is useful for machine vision applications. Transmittance spectral filter arrays combined with a solid state sensor form an emerging technology used for snapshot acquisition. In spectral filter arrays technology, the sensitivities of the camera have critical consequences, not only on applications, but also in the viability of the system. We discuss how to balance the energy of each channel in single exposure multispectral imaging

Compressive sensing multi-spectral demosaicing from single sensor architecture

This paper addresses the recovery of multi-spectral images from single sensor cameras using compressed sensing (CS) techniques. It is an exploratory work since this particular problem has not been addressed before. Thus, we do not attempt to 'compete ' and 'outperform ' any prior work. We considered two types of sensor arrays-uniform and random; and two recovery approaches-Kronecker CS and group-sparse reconstruction. Experiments on real multi-spectra images show interesting results