DocumentCode :
3403773
Title :
A new framework for automatic quality assessment of print media
Author :
Mohan Liu ; Konya, I. ; Nandzik, J. ; Flores-Herr, N. ; Eickeler, S. ; Ndjiki-Nya, P.
Author_Institution :
Image Process. Dept., Fraunhofer Inst. HHI, Berlin, Germany
fYear :
2012
fDate :
Sept. 30 2012-Oct. 3 2012
Firstpage :
789
Lastpage :
792
Abstract :
Print media collections of considerable size are held by cultural heritage organizations and will soon be subject to digitization activities. However, technical content quality management in digitization workflows strongly relies on human monitoring. This heavy human intervention is cost intensive and time consuming, which makes automization mandatory. In this paper, a new automatic quality assessment framework is proposed. The digitized source image and a color reference target are extracted from the raw digitized images by an automatic segmentation process. The target is evaluated by a reference-based algorithm. No-reference quality metrics are applied to the source image. Experimental results are provided to illustrate the performance of the proposed framework. We show that our approach yields a significant improvement in the extraction as well as in the quality assessment step compared to the state-of-the-art.
Keywords :
content management; document image processing; history; image colour analysis; image segmentation; automatic quality assessment framework; automatic segmentation process; cost intensive; cultural heritage organizations; digitization activities; digitization workflows; digitized source image; heavy human intervention; human monitoring; no-reference quality metrics; print media collections; raw digitized images; reference-based algorithm; technical content quality management; time consuming; Brightness; Colored noise; Databases; Image color analysis; Measurement; Media; Quality assessment; Color checker detection; Color fidelity; Contrast; No reference quality assessment; Overall quality; Sharpness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
ISSN :
1522-4880
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2012.6466978
Filename :
6466978
Link To Document :
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