Recovering imaging device sensitivities: a data-driven approach

Recovering spectral sensitivities of imaging devices with indirect methods, as well as spectral stimuli estimation from device responses are ill-posed problems. All known methods have to rely on a priori information to constrain the solution space, which, in most situations, is difficult or even impossible to obtain. In this paper we introduce a simple and fully data-driven approach for indirect spectral sensitivity estimation, which does not rely on explicit a priori information. The method is built upon an extension of our previous work on generalized cross-validation for constraint Tikhonov problems and utilizes a linear combination of band-limited basis functions.