Electronics Engineering

GENERAL The course aims at providing the student with an overall vision of the image processing issues, such as the use of transformed domain, filtering, encoding, and of its main applications tc.) (such as restoration, denoising, enhancement, tomography, etc. At the end of the Course the student is aware of the main representation domains of signals and images both in continuous and discrete domain and can manage software for image processing purposes. Through developing in depth theoretical and practical projects the students gains ability of i) autonomously comprehending cutting edge image processing papers, ii) presenting their contents, iii) realizing and critically analysing image processing experiments. The above goals are detailed in the followig SPECIFIC • Knowledge and understanding of the discrete and continuous, spatial and frequency image representation domains. Achieve a big picture of image processing theoretical background. Gain knowledge and understanding of the main image processing tasks (Recovery, Denoising, Enhancement, Morphological filtering, Segmentation, etc). • Applying knowledge and understanding: be able to design novel algorithms for advanced image processing tasks, • Making judgements: be able to compute performances and develop a critical evaluation of the collected results, as well as of the algorithm parameters and their impact on the processing output. • Communication skills: present and describe innovative solutions • Learning skills: Be able to read scientific papers and technical standard on the most advanced solutions for image processing