Covers the Fourier Transform, essential for analyzing stable LTI systems through complex exponentials.
Explores Fourier filtering principles, applications in image processing, and efficient FFT implementation.
Introduces the basics of edge detection, including measuring contrast, gradient images, Fourier interpretation, Gaussian functions, Canny edge detector, and industrial applications.
Explores psychoacoustics, signal processing, and the brain's interpretation of sound frequencies, covering topics like the Missing Fundamental phenomenon and the inner workings of the cochlea.
Introduces the basics of image processing, covering point and spatial operators, histogram processing, and transform-domain operations.
