Paper
28 January 2008 Framework for modeling visual printed image quality from the paper perspective
Pirkko Oittinen, Raisa Halonen, Anna Kokkonen, Tuomas Leisti, Göte Nyman, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Risto Ritala, Johannes Pulla, Marja Mettänen
Author Affiliations +
Proceedings Volume 6808, Image Quality and System Performance V; 68080L (2008) https://doi.org/10.1117/12.766285
Event: Electronic Imaging, 2008, San Jose, California, United States
Abstract
Due to the rise in performance of digital printing, image-based applications are gaining popularity. This creates needs for specifying the quality potential of printers and materials in more detail than before. Both production and end-use standpoints are relevant. This paper gives an overview of an on-going study which has the goal of determining a framework model for the visual quality potential of paper in color image printing. The approach is top-down and it is founded on the concept of a layered network model. The model and its subjective, objective and instrumental measurement layers are discussed. Some preliminary findings are presented. These are based on data from samples obtained by printing natural image contents and simple test fields on a wide range of paper grades by ink-jet in a color managed process. Color profiles were paper specific. Visual mean opinion score data by human observers could be accounted for by two or three dimensions. In the first place these are related to brightness and color brightness. Image content has a marked effect on the dimensions. This underlines the challenges in designing the test images.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pirkko Oittinen, Raisa Halonen, Anna Kokkonen, Tuomas Leisti, Göte Nyman, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Risto Ritala, Johannes Pulla, and Marja Mettänen "Framework for modeling visual printed image quality from the paper perspective", Proc. SPIE 6808, Image Quality and System Performance V, 68080L (28 January 2008); https://doi.org/10.1117/12.766285
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Cited by 10 scholarly publications.
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KEYWORDS
Image quality

Printing

Visualization

Profiling

Quality measurement

Visual process modeling

Image processing

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