A dictionary based approach for non-parametric SPIN and application to image mixture separation

Successive Projections onto INcoherent manifolds (SPIN) recovers signals from random measurements, provided that signal manifolds are incoherent and the measurement operator satisfies Restricted Isometric Property. This paper proposes a dictionary based method for recovering non-parametric signal mixtures from a few random projections with individual components on incoherent manifolds. The proposed method is an extended version of SPIN and can be applied to separate signal mixtures theoretically without any limit on the number of components.