Digital Signal & Image Processing

Digital Signal and Image Processing

Content

Students will learn basic tools for analysing 1-D and 2-D signals in the space and in the frequency domains. Particular attention will be devoted to filters, to deal with noise attenuation and feature enhancement. Dynamic filters will also be considered. The course will also cover low level vision topics,  including image feature extraction, image segmentation,image  registration, and image matching.

Students will be involved in project activities.

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Instructor(s)

Annalisa Barla

Annalisa Barla

Associate Professor of Computer Science

Computational Biology

Alessandro Verri

Alessandro Verri

Professor of Computer Science

Machine Learning

Effort Breakdown

  • Class
  • Lab
  • Project
  • Outside Preparation