Image Processing I: Filters and Transformations

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

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

Explores rational transfer functions, filter equations, poles, zeros, and impulse response in signal processing.

Explores ordered dithering and Fourier transform in image processing.

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

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

Covers inverse Fourier transform, frequency filtering, segmentation, thresholding, particle size estimation, and analysis using ImageJ.

Explores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.

Explores digital filters, their implementation, characteristics, and realizations, with examples for illustration.

Covers the Fast Fourier Transform (FFT) algorithm, interpolation, filters, image processing, and experimental techniques in TEM and STM.