We demonstrated that by using hybrid solver, it is robust and convinient to generate sparse models
in Least-Squares Inverse imaging and deconvolution problems; although in the blind deconvolution
formulation the L2 and hybrid inversion would yield similar results in the absence of minimum phase wavelet assumption.