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Lecture
Image Processing: Smoothing and Filtering
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Fast Fourier Transform (FFT): Basics and Applications
Covers the Fast Fourier Transform (FFT) algorithm and its applications in computational physics, including image processing, experimental techniques, filters, and analysis of microscopy images.
Image Filtering: Classic Filters
Explores classic image filters like Moving Average, Gaussian Blur, Sobel filter, and Laplacian operator.
LTI Systems Analysis
Covers the analysis of LTI communication systems through Fourier transforms and system stability.
Linear Phase Filters: Step Response and Characteristics
Explores linear phase filters, rise time, Gaussian filters, and rational transfer functions.
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Covers the properties and applications of the Fourier transform and its relation to Heisenberg's uncertainty principle.
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Image Processing Techniques
Covers adjusting brightness, contrast, applying filters, and analyzing Fourier transforms for image enhancement.
Fourier Transform Applications: Image Processing Basics
Covers image processing basics, Fourier transformation, convolution, cross-correlation, and 3D reconstruction using the Radon projection theorem.
Discrete Signals & Fourier Transform
Explores discrete signals, Fourier transform, modulation, convolution, DFT properties, and signal periodicity.
Image Processing I: Linear Operators and Fourier Transform
Introduces linear operators, Fourier transform, and their applications in image processing.
