Weighted-l1-method-noise regularization for image deblurring.
Signal Processing(2019)
Abstract
•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.
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Key words
Image deblurring,Method noise regularization,Split Bregman method
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