Speckled Images Restoration Filter based on Weighted Multiplicative Regularization Approach

摘要

In this paper, a novel image denoising algorithm based on a multiplicative regularization technique is proposed. The regularization employs a weighted total variation (TV) that is included as a multiplicative constraint. In this way, the appropriate regularization parameter will be controlled by the optimization process itself. The new proposed method not only overcomes the disadvantage of generating artificial edges but also has the advantages of denoising and edges preservation of TV model. Experimental results show that the new method is effective in removing speckle noise and image details are kept well.