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In this tutorial, Anushka Risky explains image restoration as a process of recovering degraded images by being aware of noise present in the image. Unlike image enhancement, where noise is not known, restoration allows for more efficient image recovery. Examples include removing image blur caused by degradation. Techniques for image restoration vary based on the type of noise present, with additive noise requiring specific methods. The goal is to restore images based on prior knowledge of degradation phenomena.