- Components of digital image processing systems and fundamental concepts (e.g., quantization, sampling, noise, color spaces and models, resampling, etc.).
- Basic two-dimensional transforms and image representations (e.g., 2D Fourier, DCT, etc.).
- Image enhancement (intensity transformations, anisotropic diffusion, histogram equalization, pseudocoloring, halftoning, spatial filters, frequency filters).
- Image restoration.
- Texture analysis.
- Mathematical morphology.
- Image segmentation methodologies (discontinuity detection, Hough transform, thresholding, region growing, connected-component analysis, watershed trasnform).
- Image compression.