Image Processing I: Filters and Transformations

Related lectures (32)

Page 3 of 4

Explores filter design, boundary conditions, Fourier-domain filtering, and useful smoothing filters for image processing.

Covers frequency selective filters, focusing on a simple low-pass filter example and its practical applications.

Covers the basics of signal processing, linear estimation, and digital filters.

Explores image processing techniques such as contrast manipulation, enhancement, and sharpening using Fiji software.

Explores the Fourier transform, convolution product, and their applications in signal processing.

Covers digital RII filters, elliptical and Chebyshev filters, frequency transformations, and filter realization.

Covers the fundamental principles of image filtering and its applications in bio-medical image analysis.

Explores the synthesis of digital filters from analog filters using the bilinear transformation method and Chebyshev's criterion.

Covers the design and implementation of active filters, focusing on second-order and high-order realizations.

Introduces digital filtering, convolution, separability, and recursive filtering in image processing.