- You must login in order to post into this group. The human
visual sense is superior to today’s computers in terms of
perceiving image content. Using the human visual system's high
bandwidth supports rapid transfer of digital data
representations to the user. It is this human capability that
visualization builds upon, by generating images representing the
content of large and complex data sets. In image science, the
goal is to translate complex spatio-temporal patterns into forms
that can be interpreted by humans. Thus, through a series of
processing steps information can be extracted from the objects
embedded images or volumetric datasets. In some senses this can
be seen as the opposite of the image synthesis taking place in
visualization. Interactivity plays a central role in
visualization and image science workflows, as the user needs to
feed back gained insights and steer the capturing, filtering and
refining steps to reach the goal of detecting expected features
and discovering unexpected ones in the pl