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The task of image denoising is extensively studied for decades. A recent advance in this field results in dazzling results, so much so that some researchers believe that working on this problem leads to a dead avenue. Is this truly the case? What are the new trends in this field? Deep learning? New optimization methods? Can we leverage this impressive achievement and tackle other restoration problems, pushing these to new heights? All of these questions and more are the matter of this minisymposium.