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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.