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The development of efficient optimization methods applicable to large scale image processing tasks is an important and current research topic as it leads to improvements in speed and stability or the ability of revealing hidden image properties. The goal of this minisymposium is to discuss and compare image and video processing tasks addressed by means of powerful and efficient optimization algorithms, with particular attention devoted to non-smooth or non convex cost functions. The presentations in this minisymposium discuss both theoretical aspects as well as concrete applications of state-of-the-art optimisation methods relevant to modern mathematical imaging.