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Lecture
Image Filtering Introduction
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Related lectures (30)
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Frequency Response of LTI Systems
Explores LTI systems, impulse response, convolution, system properties, and frequency response, including low-pass and band-pass filters.
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Covers the Fast Fourier Transform (FFT) algorithm, interpolation, filters, image processing, and experimental techniques in TEM and STM.
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Introduces system properties, Laplace Transform, and analog filters for signal analysis.
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.
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Covers sampling, Fourier Transform, and reconstruction using low-pass filters in signal processing.
Signals, Instruments, and Systems
Explores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.
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Explores Fourier Transform, frequency filtering, segmentation, and particle size estimation using image analysis techniques.
Image Processing I: Ordered Dithering and Fourier Transform
Explores ordered dithering and Fourier transform in image processing.
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Covers image smoothing, noise reduction, and segmentation techniques using filters and transforms.
Image Processing I: Filters and Transformations
Explores moving average and exponential filters, Gaussian filtering, and linear scale-space concepts in image processing.
