Signal & Image Processing

Signal processing refers to the acquisition, treatment and reproduction of physically measurable quantities. Signals can include sound, light, images, environmental signals such as temperature, humidity, and pollution, biological signals, telecommunication transmission signals, and many others. Signals can be continuous (analog) or discrete (digital). Thus, signal and image processing is very much at home in both the physical and digital world, and crucial in the intersection between the two. The application domains are numerous: smartphones, cameras, video production, object recognition and tracking, etc.

Our research not only focuses on the technology and new theories to best acquire, encode, transmit, and reproduce these different signals, but also on how to combine the data to extract more information about the physical world – with applications in environmental monitoring, medicine, transportation, banking, as well as personal communications.

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