RESEARCH

We conduct psychophysical experiments to evaluate IQA for single and multiply distorted images.
We correlate the subjective data with different Full Reference and No Reference metrics.

We conduct psychophysical experiments, considering different database of images that depict real scenes and texture images.
Subjective data are used to obtain a complexity metric.

We study the problem of detecting and modeling emotions in the context of human-computer interaction, aiming to bridge the gap between human emotions and computational technology.

We conduct electroencephalographic experiments and exploit publicly available data to test and develop new techniques for noise removal, feature computation and signal classification.