Covers image processing techniques including noise addition, filtering, and image enhancement using various filters and tools.
Explores LTI systems, impulse response, convolution, system properties, and frequency response, including low-pass and band-pass filters.
Covers the basics of image processing for microscopy, including acquiring, correcting defects, enhancing images, and extracting information.
Introduces the basics of edge detection, including measuring contrast, gradient images, Fourier interpretation, Gaussian functions, Canny edge detector, and industrial applications.
Covers frequency selective filters, focusing on a simple low-pass filter example and its practical applications.
Delves into the Fourier Slice Theorem in X-ray tomography, explaining the relationship between 1-D and 2-D Fourier Transforms and techniques to enhance image quality.
Introduces fundamental notions in digital filtering, covering 2D filtering approaches, linear filters, stability, FIR and IIR filters, frequency domain filtering, and Gaussian filters.
Covers scientific image processing fundamentals, software practices, and ethical considerations in image processing.
