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In the 20-second lecture of the DIY series, Anushka Risky explains image restoration. Unlike image enhancement, image restoration involves being aware of the noise present in the image before enhancing it. This allows for more efficient restoration of the image, such as removing image blur. Restoration aims to recover degraded images using prior knowledge of the degradation phenomenon. Different techniques are used for image restoration, depending on the type of noise present, such as additive noise.