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This lecture covers various image processing techniques, including neighborhood averaging, binning, and Gaussian smoothing. It explains how to reduce noise and artifacts using methods like median filtering and Laplacian sharpening. The lecture also delves into Fourier transforms, frequency filtering, and thresholding for image segmentation.