This lecture covers the basics of image processing, focusing on linear operators and the Fourier transform. Topics include derivative and geometric operators, threshold operator, shift-invariant systems, complex sinusoids, 2D Fourier transform, separability, Gaussian computation, and Fourier properties. The instructor explains the definitions, properties, and applications of these concepts, providing insights into how they are used in image processing.