Difference between revisions of "Publications:Assessing, exploring, and monitoring quality of offset colour prints"

From ISLAB/CAISR
(Created page with "<div style='display: none'> == Do not edit this section == </div> {{PublicationSetupTemplate|Author=Jens Lundström, Antanas Verikas, E Tullander, B Larsson |PID=581760 |Name=...")
 
Line 4: Line 4:
 
{{PublicationSetupTemplate|Author=Jens Lundström, Antanas Verikas, E Tullander, B Larsson
 
{{PublicationSetupTemplate|Author=Jens Lundström, Antanas Verikas, E Tullander, B Larsson
 
|PID=581760
 
|PID=581760
|Name=Lundström, Jens [jenlun] (Högskolan i Halmstad [2804], Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) [3905], Halmstad Embedded and Intelligent Systems Research (EIS) [3938], Laboratoriet för intelligenta system [6703]);Verikas, Antanas [av] (Högskolan i Halmstad [2804], Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) [3905], Halmstad Embedded and Intelligent Systems Research (EIS) [3938], Laboratoriet för intelligenta system [6703]);Tullander, E (Quality Development Department, Hylte Mill, SE-314 81 Hyltebruk, Sweden);Larsson, B (V-TAB, Exportgatan 2-4, SE-422 46, Hisingsbacka, Sweden)
+
|Name=Lundström, Jens [jenlun] [0000-0001-8804-5884] (Högskolan i Halmstad [2804], Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) [3905], Halmstad Embedded and Intelligent Systems Research (EIS) [3938], Laboratoriet för intelligenta system [6703]);Verikas, Antanas [av] [0000-0003-2185-8973] (Högskolan i Halmstad [2804], Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) [3905], Halmstad Embedded and Intelligent Systems Research (EIS) [3938], Laboratoriet för intelligenta system [6703]);Tullander, E (Quality Development Department, Hylte Mill, SE-314 81 Hyltebruk, Sweden);Larsson, B (V-TAB, Exportgatan 2-4, SE-422 46, Hisingsbacka, Sweden)
 
|Title=Assessing, exploring, and monitoring quality of offset colour prints
 
|Title=Assessing, exploring, and monitoring quality of offset colour prints
 
|PublicationType=Journal Paper
 
|PublicationType=Journal Paper
Line 40: Line 40:
 
|Projects=PPQ
 
|Projects=PPQ
 
|Notes=
 
|Notes=
|Abstract=<p>Variations in offset print quality relate to numerous parameters of printing press and paper. To maintain a constant high print quality press operators need to assess, explore and monitor quality of prints. Today assessment is mainly done manually. This paper presents a novel system for assessing and predicting values of print quality attributes, where the adopted, random forests (RF)-based, modeling approach also allows quantifying the influence of different paper and press parameters on print quality. In contrast to other print quality assessment systems the proposed system utilizes common, simple print marks known as double grey-bars. Novel virtual sensors assessing print quality attributes using images of double grey-bars are presented. The inferred influence of paper and printing press parameters on quality of colour prints shows clear relation with known print quality conditions. Thorough analysis and categorization of related work is also given in the paper.</p>
+
|Abstract=<p>Variations in offset print quality relate to numerous parameters of printing press and paper. To maintain a constant high print quality press operators need to assess, explore and monitor quality of prints. Today assessment is mainly done manually. This paper presents a novel system for assessing and predicting values of print quality attributes, where the adopted, random forests (RFs)-based, modeling approach also allows quantifying the influence of different paper and press parameters on print quality. In contrast to other print quality assessment systems the proposed system utilises common, simple print marks known as double grey-bars. Novel virtual sensors assessing print quality attributes using images of double grey-bars are presented. The inferred influence of paper and printing press parameters on quality of colour prints shows clear relation with known print quality conditions. Thorough analysis and categorisation of related work is also given in the paper. (C) 2012 Elsevier Ltd. All rights reserved.</p>
 
|Opponents=
 
|Opponents=
 
|Supervisors=
 
|Supervisors=
Line 55: Line 55:
 
|CreatedDate=2013-01-02
 
|CreatedDate=2013-01-02
 
|PublicationDate=2013-01-02
 
|PublicationDate=2013-01-02
|LastUpdated=2013-06-07
+
|LastUpdated=2015-09-11
 
|diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:581760}}
 
|diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:581760}}
 
<div style='display: none'>
 
<div style='display: none'>

Revision as of 21:47, 30 September 2016

Do not edit this section

Keep all hand-made modifications below

Title Assessing, exploring, and monitoring quality of offset colour prints
Author Jens Lundström and Antanas Verikas and E Tullander and B Larsson
Year 2013
PublicationType Journal Paper
Journal Measurement
HostPublication
Conference
DOI http://dx.doi.org/10.1016/j.measurement.2012.11.037
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:581760
Abstract Variations in offset print quality relate to numerous parameters of printing press and paper. To maintain a constant high print quality press operators need to assess, explore and monitor quality of prints. Today assessment is mainly done manually. This paper presents a novel system for assessing and predicting values of print quality attributes, where the adopted, random forests (RFs)-based, modeling approach also allows quantifying the influence of different paper and press parameters on print quality. In contrast to other print quality assessment systems the proposed system utilises common, simple print marks known as double grey-bars. Novel virtual sensors assessing print quality attributes using images of double grey-bars are presented. The inferred influence of paper and printing press parameters on quality of colour prints shows clear relation with known print quality conditions. Thorough analysis and categorisation of related work is also given in the paper. (C) 2012 Elsevier Ltd. All rights reserved.