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Course: Digital Image Signal Processing

Department/Abbreviation: KEF/PGSOS

Year: 2020

Guarantee: 'doc. Ing. Luděk Bartoněk, Ph.D.'

Annotation: Bases numerical processing of signals (one-dimensional - processes in time, two-dimensional-pictures). Analog signals(connected) and discreet in time (signals numerical). Processing of signals in real-time.

Course review:
1.Signal sampling and reconstruction. The sampling theorem, the Dirac impulse, derive the spectrum of the sampled signal. 2.Reconstruction of the continuous signal from the succession of samples. 3.Fourier transform, discrete Fourier transform (DFT), Fast Fourier Transform (FFT). 4.Stochastic signal processing, signal measurement in the presence of noise. 5.Digital image processing, image representation and image analysis tasks. 6.Digital image. Features a digital image. 7.Discrete linear integral transforms. 8.Filtration of noise and disturbances of edge detection.