Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Digital Color Halftoning
Recycled paper visual indexing for quality control
Expert Systems with Applications: An International Journal
Framework for Applying Full Reference Digital Image Quality Measures to Printed Images
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
Modelling of time related drying changes on matte coated paper with artificial neural networks
Expert Systems with Applications: An International Journal
Automated mottling assessment of colored printed areas
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
Expert Systems with Applications: An International Journal
Machine vision based quality control from pulping to papermaking for printing
Pattern Recognition and Image Analysis
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Mottling is one of the most important printing defects in modern offset printing using coated papers. Mottling can be defined as undesired unevenness in perceived print density. In our research, we have implemented three methods to evaluate print mottle: the standard method, the cluster-based method, and the bandpass method. Our goal was to study the methods presented in literature, and modify them by taking relevant characteristics of the human visual system into account. For comparisons, we used a test set of 20 grey mottle samples which were assessed by both humans and the modified methods. The results show that when assessing low-contrast unevenness of print, humans have diverse opinions about quality, and none of the methods accurately capture the characteristics of human vision.