Image Processing I: Filter Design and Boundary Conditions

Related lectures (31)

Page 3 of 4

Explores Fourier Transform, frequency filtering, segmentation, and particle size estimation using image analysis techniques.

Covers the properties and applications of Rayleigh waves, including equations of motion, dispersion, and power flow.

Covers image smoothing, noise reduction, and segmentation techniques using filters and transforms.

Covers Chebyshev polynomials, all-pole filter design, RLC filters, and active-RC and OTA-C filter implementations.

Explores the Poisson problem with periodic boundary conditions and the application of Fourier series in mathematical modeling.

Covers Fourier series, analysis, the heat equation, Gibbs phenomenon, and Fourier transform properties.

Explores LTI systems, impulse response, convolution, system properties, and frequency response, including low-pass and band-pass filters.

Explores Fourier analysis, PDEs, historical context, heat equation, Laplace equation, and periodic boundary conditions.

Explores image restoration and signal prediction using linear filters in signal processing.

Explores signal analysis, FFT, filters, and power spectral density in signal processing.