In this talk, we present a modulus iteration method for non-negatively constrained TV image restoration. We apply the ideas of modulus methods to the problem of non-negatively constrained image restoration based on total variation regularization and present a modulus iteration method for this problem. The proposed method has the potential to effectively handle the non-negative constraint for image restoration. We prove the convergence of the proposed method. Experimental results are given to illustrate the effectiveness of the proposed method. The numerical results in peak signal-to-noise ratio and relative error obtained by using our proposed method are better than the corresponding results obtained by some state-of-the-art methods in most cases.