An acceleration strategy via relaxation technique is incorporated in a viscosity-type method to approximate solutions of monotone inclusion problems that are fixed points of a nonexpansive operator. The iterates of the algorithm is proved to converge strongly in the setting of real Hilbert spaces. Furthermore, applications of the theorems to compressed sensing problems and a numerical implementation of the proposed methods in L2([0,1])are presented.