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A new quality assessment and improvement system for print media

: Liu, Mohan; Konya, Iuliu; Nandzik, Jan; Flores-Herr, Nicolas; Eickeler, Stefan; Ndjiki-Nya, Patrick

Volltext urn:nbn:de:0011-n-2250894 (1.5 MByte PDF)
MD5 Fingerprint: 1ec82aa1b8e27572d8540e3c840637e9
Erstellt am: 17.1.2013

EURASIP journal on advances in signal processing (2012), Art. 109, 17 S.
ISSN: 1687-6172
ISSN: 1687-6180
Zeitschriftenaufsatz, Elektronische Publikation
Fraunhofer IAIS ()
Fraunhofer HHI ()
quality assessment; print media; cultural heritage; automatic segmentation

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 article, a new automatic quality assessment and improvement system is proposed. The digitized source image and 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 system. We show that it features a good performance in the extraction as well as in the quality assessment step compared to the state-of-the-art. The impact of efficient and dedicated quality assessors on the optimization step is extensively documented.