Weighted-l1-method-noise regularization for image deblurring.

•We propose a weighted–method-noise regularization model for image deblurring.•One advantages of our model is that the method-noise is better in removing noise in smooth areas.•Another advantage is that the incorporated gradient-based weight enables it better preserve image edges.•Experimental results show our method can obtain better results than other method-noise based regularization methods.