Image Filtering: Basics and Techniques

Related lectures (32)

Page 3 of 4

Explores the theory and design of linear phase filters, emphasizing the importance of achieving optimal filter performance.

Explores digital Butterworth filter design, covering scaling, stable poles, and filter application.

Discusses digital PID controllers, noise filtering in feedback controllers, and the challenges of approximating integral and derivative terms.

Explores various noise reduction techniques, including impedance matching, temperature reduction, and bandwidth reduction.

Covers applying concepts to build linear filters and perform estimation.

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

Covers signal processing with digital filters and embedded systems, focusing on practical applications.

Explores the design and simulation of high-order LC ladder filters using active-RC circuits and impedance normalization techniques.

Explores neighborhood averaging, Gaussian smoothing, median filtering, contrast enhancement, and edge detection in image processing.

Explores analog filters, rational transfer functions, and stability analysis of causal systems.