Digital Image Processing (ING-INF/01; CFU 9)
Prof. Giovanni Ramponi

Course programme (preliminary):

- Introduction to digital image processing: perception, sensors, sampling and quantization;
- Notions about human vision
- Image acquisition
- Image display
- Image enhancement in the spatial domain: histogram, transformations, simple linear filters;
- Image enhancement in the frequency domain: transforms, filters;
- Restoration of images with various degradations; inverse filter, Wiener filter, nonlinear filters;
- Image segmentation techniques: morphological operators, contour extraction, skeletonization;
- Representation of boundaries and shapes; object recognition;
- Basic notions about color;
- Image compression and coding using the DCT and using wavelets; lossy and lossless coding;
- Introduction to video sequences; Motion-compensated video coding; format conversions.
- Basic tools for image understanding and analysis