Automated mottling assessment of colored printed areas

Authors:
Albert Sadovnikov;Lasse Lensu;Heikki Kälviäinen
Affiliations:
Machine Vision and Pattern Recognition Group, Laboratory of Information Processing, Department of Information Technology, Lappeenranta University of Technology, Lappeenranta, Finland;Machine Vision and Pattern Recognition Group, Laboratory of Information Processing, Department of Information Technology, Lappeenranta University of Technology, Lappeenranta, Finland;Machine Vision and Pattern Recognition Group, Laboratory of Information Processing, Department of Information Technology, Lappeenranta University of Technology, Lappeenranta, Finland
Venue:
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
Year:
2007

Citing 3
Cited 4

Digital Color Halftoning

Digital Color Halftoning
Quantified and perceived unevenness of solid printed areas

CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
Mottling assessment of solid printed areas and its correlation to perceived uniformity

SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis

Review: Advances in computational intelligence-based print quality assessment and control in offset colour printing

Expert Systems with Applications: An International Journal
Bayesian network model of overall print quality: Construction and structural optimisation

Pattern Recognition Letters
Machine vision based quality control from pulping to papermaking for printing

Pattern Recognition and Image Analysis
Assessing print quality by machine in offset colour printing

Knowledge-Based Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Mottling is one of the most significant defects in modern offset printing using coated papers. Mottling can be defined as undesired unevenness in perceived print density. Previous research in the field considered only gray scale prints. In our work, we extend current methodology to color prints. Our goal was to study the characteristics of the human visual system, perform psychometric experiments and develop methods which can be used at industrial level applications. We developed a method for color prints and extensively tested it with a number of experts and laymen. Suggested approach based on pattern-color perception separability proved to correlate with the human evaluation well.