Signals and Images (SI)

Head: Davide Moroni


Web Site:

SI (Signals & Images) is a Lab working in the fields of signal processing, image understanding, and artificial vision.

The Lab was born on the consideration that sensorial information is increasing its importance in both our daily life and the most advanced technological and scientific contexts. In particular, visual and audio information is becoming the most significant part of the global data to be processed, understood and manipulated.

The general goal of the Lab is to increase the knowledge in the fields of signal processing, image understanding, and artificial vision, in both theoretical and applicative contexts. This goal will be achieved by studying and developing models, computer-based methods, intelligent systems and machines for the formation, elaboration, analysis, and recognition of images and signals, and by applying these methods and techniques to several sectors of the public and private society having strategic, scientific and technological interests.

Among the broad spectrum of methods and technologies, current core research topics include:

  • Computer vision
  • Artificial intelligence & intelligent systems
  • Statistical signal processing
  • Topological data analysis
  • Human-computer interaction

Theoretical advances allow addressing strategical application domains, such as biomedical image and signal processing, radiomics, computational biology, assistive technologies, cultural heritage, smart cameras and embedded systems, industry 4.0, remote sensing and Earth observation, edutainment, intelligent and sustainable buildings.

The SI Lab aims to develop its activities dynamically, becoming part of the national and international networks in the field of computer vision and pattern recognition. Particular attention will be paid to the most advanced research programs and high-level education programs, to the creation of new channels of technical-scientific and industrial cooperation, and possibly to the promotion of spin-off initiatives.