Visual print quality evaluation using computational features

Authors:
Tuomas Eerola;Joni-Kristian Kamarainen;Lasse Lensu;Heikki Kälviäinen
Affiliations:
Department of Information Technology, Lappeenranta University of Technology, Finland;Department of Information Technology, Lappeenranta University of Technology, Finland;Department of Information Technology, Lappeenranta University of Technology, Finland;Department of Information Technology, Lappeenranta University of Technology, Finland
Venue:
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
Year:
2007

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Abstract

The ultimate print quality evaluation is always based on endusers' "quality experience", and therefore, the main challenge in automatic evaluation is to model the visual path and cognition process from physical properties to the experience. The present efforts to automate print quality evaluation have been concentrated on automating the current manually-performed assesments, which reduces the laborious work, but does not provide any novel information. In this work, a new approach for automating the evaluation is proposed and the approach is utilised by defining new computational level features which are able to explain visual quality evaluations performed by human experts.