Comparing Image-Processing Operators by Means of the Visible Differences Predictor
Martin Cadik and Pavel Slavik
Czech Technical University in Prague
Department of Computer Science and Engineering
121 35 Prague
Keywords: Non-Photorealistic Rendering, Visible Differences Predictor,
Human Visual System, Human-Computer Interaction
Utilization of non-photorealistic
techniques (NPR) is beneficial in many cases, in comparison with the use of traditional
rendering methods in computer graphics. The observer's sensation
is often straighter, clearer, or even more valuable.
There exists plenty of various NPR techniques in computer graphics,
however application of one technique to the specific problem
is not necessarily as providential as usage of another one.
There arises a strong need to classify NPR techniques with
respect to their applicability, to find a mechanism able to compare
NPR techniques automatically. The search for such a mechanism
will be a long term goal. We present
our first steps towards the solution to this problem -
the comparison of 2D-based NPR techniques using Daly's Visible Differences
Predictor (VDP). Results from our experiments are reported and
will be used to improve communication in graphical user interfaces.